Live Chat for Your Website: How Does It Work?

Why Consider Live Chat for Your Website?

Live chat is an important part of the customer service toolkit and is utilised by a multitude of businesses. With 67% of companies in the B2C sector and 66% in the B2B sector using live chat for customer support, the adoption of this key contact channel is expected to further skyrocket, as the market’s value is projected to reach $997 million by 2023, growing at a 7.5 CADGR.

Live chat facilitates two-way communications between your customers and agents, acting as a digital portal to which customers receive support, information and answers to their queries. Unlike self-service channels like chatbots or self-service FAQs that rely on AI, live chat utilises human intelligence to answer queries, making it the perfect solution for dealing with complicated non-routine questions.

Live chat is particularly popular within customer service because it’s versatile and low-cost to run in comparison to other agent-assisted channels such as telephony that doesn’t enable multiple queries to be solved simultaneously. Live chat for your website also offers the following benefits:

  • CSAT improvements
  • Enhanced CX
  • Agent satisfaction
  • Increased lead generation
  • Reduction in Average Handling Times (AHT)
  • Improved first Contact Resolution (FCR)

How Does Live Chat Work?

Live Chat’s Key Role in Customer Service

Live chat earns its place as a key player in the online customer service offering by supporting other contact channels to ensure FCR whilst presenting itself at opportune moments to boost CSAT and revenue generation.

When the AI that powers your self-service channels such as an FAQ widget or chatbot cannot handle a non-routine question, the customer is automatically escalated to live chat where an agent can deal with the complicated issue. This is facilitated through seamless integration, all taking place in the same window for optimal CX and FCR.

Live chat on your website can also be presented to your visitors in specific forms and at specific times. Trigger management settings are configured to trigger live chat when certain conditions are met, these might be based on pages visited or duration spent on your website.

An image that demonstrates how multichannel live chat works.

Selecting Your Live Chat Vendor

When it comes to live chat for your website, the selection process might seem monotonous, but choosing an effective vendor is arguably the most critical part of live chat implementation and should therefore be done with care. It’s good practice to conduct thorough research on multiple vendors to ensure you are delivered exactly what your company needs.

Whilst something might appear to be ‘good value’ at first glance, consider that in the long run, such solutions won’t serve companies and their requirements to scale.

When choosing a live chat vendor, consider these points:

  • Does the vendor meet your requirements and have they presented you with a business case? This helps you understand ROI, the payback period and whether they offer a flexible commercial model aligning to your needs.
  • Does the live chat software integrate seamlessly with other key customer service and 3rd party tools? Knowledge sharing and access to AI-powered functionality improves operational efficiency – ensure the vendor can facilitate this effortlessly.
  • Does it offer features that encourage agent productivity? Features such as live keypress feed, AI-predictive suggestions and chat routing promote agent efficiency and satisfaction.
  • Does it offer features that contribute to CX? Trigger management, integration with other online tools and escalation capabilities help visitors get to where they need to be, enhancing CX.
  • Does the live chat software include comprehensive analytics? Intelligence on agent activity, showing handling times, user feedback, login times, logoff times, active chat times and breaks is key to optimisation. Gamified user stats can also encourage healthy competition between agents.

Live Chat for Your Website: The Implementation Process

Once a vendor has been selected and the SRS has been agreed, live chat deployment – that’s being fully integrated, branded and up and running – should take a matter of days or weeks, depending on your business requirements and timeline.

The live chat implementation process will differ from company to company depending on its individual needs, but generally follows this structure:

  1. Project kick-off meeting takes place: This is where key project expectations are discussed, including timelines, outcomes and functionality. It’s an opportunity for your vendor to thoroughly understand your requirements when it comes to execution.
  2. Design guidelines are discussed: You want your customer-facing live chat channel to represent your brand, this is where brand and design guidelines are shared so that they can be built into your software.
  3. First look designs are shared: Once they are built, the first look designs are shared with you and your team to ensure they have been properly executed. This is an opportunity to suggest any amendments if necessary.
  4. Draft integration code is created and sandbox environment access is granted: Now that you’re happy with the design elements, your vendor will give you access to the sandbox environment where you can test the tool’s functionality. Again, if there are any apparent issues, this is where they can be discussed.
  5. Design is signed off: Once you and your team are satisfied, the design is signed off.
  6. Agent training: The account manager that has supported you throughout the implementation process will conduct the agent training. This is to ensure that your team get the most out of live chat and know how to use each feature adequately.
  7. Testing: Next, thorough testing is carried out to eliminate any issues that could affect the tool’s effectiveness.
  8. Final low-code integration is provided: The last step in the process is a simple one. It’s what gets live chat up and running on your website and involves one line of code. This is given to your developers by the vendor to install and you’re ready to go.

It’s good practice to discuss the implementation process with vendors in advance to manage expectations and make sure that these steps are included.

Measuring Live Chat Effectiveness

You can’t manage what you can’t measure. To continue reaping the benefits provided by live chat and ensure its constant optimisation, its effectiveness must continuously be measured. This is carried out by the frequent analysis and close monitoring of both performance and knowledge effectiveness metrics.

Performance Metrics

This group of metrics helps you to determine agent productivity, by providing you with data on each agent and their chat metrics, issues can easily be identified and resolved. These metrics include:

  • Operator’s Summary: This group of metrics gives a granular insight into agent activity, including, chat capacity, handling times, durations, user feedback, login times and more.
  • User Up-time: This demonstrates how your live chat teams’ time is spent throughout the day, showing data on login times, logoff times, active chat times and breaks.
  • Gamified Leaderboards: Visible to agents, these visuals encourage healthy competition by highlighting agents who complete the most chats or receive the most favourable customer feedback.
An image that shows live chat metrics.

Knowledge Effectiveness Metrics

It’s important to study knowledge-related metrics in order to understand if the content and knowledge articles being delivered to your customers are serving them effectively. This set of metrics include:

  • Search Result: This collects data on every article, revealing how effective each is at answering customer queries. By pulling top-level effectiveness insights you can see how many queries were resolved and how many were optimisable.
  • Top Queries: This set of metrics including, top queries, how many results were generated and whether it could be resolved, help to gain insight into your customers’ behaviour and current needs, it can also help to reveal where any content gaps exist.
  • Triggers: Understand how well your configured triggers are performing with data that reveals where tools are being triggered on your website and which is most optimal.

If you enjoyed this article and would like to know more about live chat for your website, read our guide here. Or, if you’d like any advice on how to set up live chat, please

A Screen showing an agent using Live Chat

Live Chat Knowledge Base Integration: The Key Benefits

Live Chat Knowledge Base Integration:
How Does It Work?

The whole is greater than the sum of its part.”
Aristotle

This phrase rings true when it comes to live chat knowledge base integrations; whilst each tool provides value to customer service individually, when combined, that value becomes significantly greater.

Before exploring the importance of this integration, let’s first unpack the impact that live chat and knowledge bases have individually on your wider customer service ecosystem.

Live Chat’s Role in Customer Service

In your customer service offering, live chat provides your customers with a platform whereby they can communicate with agents who will communicate back. Unlike self-service contact channels such as chatbots or self-service pages that utilise AI to solve with queries, live chat is operated and solves customer queries using human intelligence.

Live chat solutions are particularly popular due to their low-cost and versatility. Compared with other agent-assisted channels such as telephony, live chat, which allows agents to deal with multiple queries simultaneously, is significantly cheaper to run.

From a customer perspective, live chat combines the depth that is provided by agent-assisted channels with the accessibility and convenience of an online channel. According to one study , 79% of customers preferred to use live chat because it offers instant responses.

A Knowledge Base’s Role in Customer Service

A knowledge base’s role in your wider offering is an important one, it is the core knowledge repository and where all information is stored, collected, shared and updated. From company guidebooks to pension policies and product spec sheets to agent scripting, a knowledge base stores everything relating to your company, products and services.

The purpose of a centralised knowledge base is to provide quick, convenient access to information, to the right people at the right time. A knowledge base is versatile and can be utilised both internally and externally in the following ways:

  • By employees looking for company information
  • By agents searching for knowledge articles that will answer customer queries
  • By customers and prospects who require information on the company, products or services

You can set up various knowledge base views to include or restrict certain articles being accessed depending on who the audience is.

This nucleus of customer service feeds all your key business and customer service tools to ensure that any information that is distributed, internally or externally is always consistent and accurate. Without knowledge bases in place, companies must deal with disorganised databases and scattered information that leads to unreliable knowledge sharing.

Why Integrate and How?

Companies with efficient and functional customer service recognise the importance and make use of the integration between live chat and knowledge base software. By connecting the two a synergy is created, greater control over knowledge is gained and the overall cohesion makes for more efficient, lower-cost operations.

The live chat knowledge base integration is popular due to its abilities to:

  • Improve AHT
  • Enhance CX
  • Promote agent productivity
  • Produce valuable analytics
  • Boost ESAT and CSAT
  • Reduce costs

Implementing the integration is straightforward. Providing that your software utilises low-code development, the integration can be set up and ready to use following the simple installation of code.

Live Chat Knowledge Base Integration: What Are the Benefits?

Reduce Distraction and Enhance AHT

The integration between live chat and knowledge base software encourages agent efficiency. The agent interface offers an integrated knowledge feature, otherwise known as ‘mini knowledge’, it gives agents quick access to knowledge articles in the same window as the chat console. From there, they can simply copy and paste an article straight into the chat.

The advantage here is the reduction of distraction and noise, agents no longer must open new windows to search for answers in often multiple, disorganised places. Consider the sheer volume of routine questions that agents receive on a daily basis – this process becomes cumbersome when repeatedly carried out, eating up significant, valuable agent time.

Not only does the integration between the tools reduce AHT considerably, but by providing your customers with faster answers, CSAT is impacted.

Consistency Makes for Better CX

The circulation of inconsistent, inaccurate information not only damages brand credibility but could lead to anything from a surge in customer complaints to legal action being taken against the company.

Not only does this integration make the knowledge base available to live chat agents when dealing with customers, but it also powers all self-service tools that live on your website – whether its a self-service FAQ page, chatbot or widget. This means that the same information accessed by customers via your self-service channels is the same as the information that agents send your customers via live chat.

Providing such consistency is not only important for brand but it gives customers the right answers the first time, removing the need for customers to search around for adequate resolutions after they’re served inconsistent messages.

Optimal Agent Productivity Through Integration Features

By integrating live chat with your knowledge base, a series of features that contribute to productivity are unlocked. The live keypress feature that is made available in the agent interface allows agents to see what a customer is typing in real-time before they hit “send”. This lets agents resolve issues often before the query has been sent, saving considerable time.

AI predictive suggestions features are also made available through the live chat knowledge base integration. As customers type their query, in real-time, AI predictive suggestions will recommend a series of relevant articles in the ‘mini knowledge’ section. This is hugely useful for agents who can simply copy and paste an article and send to the customer without having to search for anything or leave the current window.

Both features help to save agents significant time so they can focus on other tasks, therefore promoting productivity.

Performance and Article Metrics Are Activated

Connecting two powerful tools generates powerful results – and these should be measured. The integration provides you with detailed analytics on knowledge article insights, for example:

  • Search results: analytics that demonstrate the effectiveness of articles based on resolved queries, subsequently revealing the effectiveness of your knowledge base
  • Top queries: insights into not only customer behaviour and areas for improvement but also how well your team is resolving such queries and whether there is a gap that needs filling
  • Triggers: showing you where live chat and other tools have been triggered on your website and which trigger is most optimal

It can also help you measure agent performance with metrics such as:

  • Operator’s summary: In-depth data showing agent handling times, user feedback, login times and many more metrics
  • User up-time: a holistic view of how your teams’ time of spent, including data on login and logoff times, active chat times and breaks
  • Plus, gamified leaderboards to encourage healthy competition and agent progress awareness
An image that shows live chat metrics.

With regular monitoring and analysis, such analytics can be the answer to continual content and operational optimisation.

Boost ESAT To Boost CSAT

The integration between live chat and knowledge base makes agents’ jobs much easier, providing them with features that simplify tasks, make knowledge articles more accessible and ultimately give them a head start on each chat they are assigned.

This relieves the pressure on agents who would otherwise be scrambling to find answers in messy, confusing databases and documents, all whilst hoping that the information they serve is up-to-date and accurate.

Instead, agents, equipped with the combined power of live chat and knowledge base features, learn how to quickly deal with routine questions and can therefore deal with larger volumes of complicated issues. This helps not only develop customer service skills but it provides agents with job satisfaction by resolving customers’ serious issues.

The integration allows routine tasks to be completed efficiently so that agents can focus on more complex issues that prove rewarding. This contributes to employee satisfaction (ESAT), which has a huge impact on the way queries are dealt with, thus CSAT.

Cost-Efficiency

As an agent-assisted contact channel, live chat is an excellent choice for your customer service offering in terms of cost-efficiency. It proves far cheaper to run in comparison with other agent-assisted channels such as telephony which unlike live chat cannot deal with customers concurrently.

But when live chat integrates with knowledge base technology there further, significant savings to be made. Features included in the integration such as integrated knowledge (‘mini knowledge base’), live keypress and AI predictive suggestions create small, incremental savings in agent time. When you consider how many agents are in a contact centre and how many customers they deal with in a day alone, this adds up to significant time savings, which of course brings your operational costs down.

Training costs are also reduced through the integration, the knowledge base itself is a training tool for new starters and gets them up to speed far quicker than costly training programmes.


If you enjoyed this article and would like to read more about live chat integrations, you can do so here. If you are interested in seeing the benefits of a live chat knowledge base integration, please

18 Tips to Improve Live Chat for Customer Service

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These 18 tips offer recommendations and best practices to help improve live chat for customer service.

  1. Ensure Live Chat Is Aligned with Your Business Goals
  2. Configure Trigger Management for Maximum Lead Generation
  3. Put Your Brand’s Stamp on It
  4. Use Smart Web Forms for Pre-Qualification
  5. Manage Customer Expectations When It Comes to Live Chat
  6. Ensure Live Chat Supports File Transfer
  7. Offer Live Chat Feedback Surveys
  8. Integrate Live Chat with Centralised Knowledge for Consistency
  9. Integrate Live Chat with Your CRM And Other 3rd Party Apps
  10. Compliment Live Chat With AI-Powered Chatbots
  11. Consider Live Chat’s Role in The Holistic Customer Journey
  12. Make Use of Integrations That Handle Personal Data Securely
  13. Use A Live Keypress Feed for Reduced AHT
  14. Use AI Predictive Suggestions and Integrated Knowledge for Accuracy
  15. Ensure Chat Transfer Is Seamless to Enhanced FCR
  16. Study Live Chat Metrics for Continual Optimisation
  17. Focus on ESAT If You Want to Improve CSAT
  18. Utilise Agent Scripting

1. Ensure Live Chat Is Aligned with Your Business Goals

When implementing live chat into your wider offering it’s important to consider your wider business goals, which might surround:

  • Operational efficiency
  • Cost reduction
  • Customer Experience
  • Customer Satisfaction

Firstly, ensure all employees involved are clear on why live chat is being deployed and to which business goal it will help achieve. Having everyone on the same page, working towards a clear goal creates transparency and drive. This also ensures the utilisation of live chat for customer service teams.

It’s vital that live chat aligns to such business goals and their subsequent objectives as well as integrating well into your customer service ecosystem. This makes operations smoother, knowledge sharing easier, visibility greater which creates enhanced customer service.


2. Configure Trigger Management for Maximum Lead Generation

When configured correctly, live chat contributes to lead and revenue generation. Trigger management options let you determine when your live chat is displayed, made available or even pops up.

Live chat is configured to trigger when certain conditions are met, this might include when a visitor has spent a certain amount of time on the site, indicating they require help, or when a visitor lands on a particular product page signalling their interest. By simply letting them know someone is here to help, the chances of lead and revenue generation increases.

Similarly, a visitor might reach the website cart page, spending a few minutes here because they need a question answering – a trigger set up here can resolve this and lead to a sale that would otherwise have been lost without the presence of live chat.


3. Put Your Brand’s Stamp on It

Your live chat page, widget or pop-up is an opportunity to showcase your brand. Personify your brand attributes and personality through the many customisable features that live chat offers. This can be visually represented through colour schemes and logos to creates brand familiarity or to show your brand’s tone of voice, canned responses can be configured to include quirks that match your brand guidelines.

Further, it is good practice to include tone of voice and brand personality training in the onboarding process, agent scripts should also utilise this.


4. Use Smart Web Forms for Pre-Qualification

When it comes to live chat for customer service optimisation, agent time is precious. To get the most out of agent time, pre-qualify customers using smart web forms. Capturing all relevant data before the chat takes place can save significant agent time, especially when you consider just how many chats one agent might deal with over a day.

Smart web forms can be configured to capture the following data pre-chat:

  • Full name
  • Email address
  • Enquiry details
  • Custom fields if required

Companies might include just some or all of these fields depending on their needs.


5. Manage Customer Expectations When It Comes to Live Chat

There is nothing more frustrating for your customers than expecting to be put in touch with an agent via your live chat and instead waits in a ‘queue’ for hours before giving up. Your customers did not receive the service they expected and as a result, become angry and frustrated, leading to poor CSAT.

What is important in such instances, for example when agents are not available due operating hours, that expectations are managed. Ensure settings are configured to remove live chat as an available option as well as making operating hours clear.

You can also consult the analytics section of your live chat interface , where data will help you determine how many agents you require to fulfil chat volumes.


6. Ensure Live Chat Supports File Transfer

The queries that your agents handle through live chat cannot always be solved using text alone, often the more complex issues require file transfer capabilities. This might include:

  • Images
  • Videos
  • Screenshots
  • Documents such as Word or PDF files

7. Offer Live Chat Feedback Surveys

Offer your customers a feedback survey once their chat has ended. Asking questions about the chat itself, the agent and quality of resolution can reveal a lot about operations.

Collect and study such data to find out what you’re excelling at and what might need improving. This practice should be constantly carried out to encourage optimal CSAT and CX.


8. Integrate Live Chat with Centralised Knowledge for Consistency

Integrating your live chat solution with your centralised knowledge is key to providing accurate and consistent information both to customers but also internally.

By utilising knowledge base software , all relevant knowledge can be stored in one place to avoid errors and inaccuracies associated with multiple knowledge sources. By integrating live chat with a knowledge base, you can be assured that all information served to customers is regulated and fed from the same source as other customer service tools.

In addition, such integrations enable agents to look up results quickly and easily via the same UI as their live chat console, saving time and making their jobs easier.


9. Integrate Live Chat with Your CRM And Other 3rd Party Apps

Having your live chat, that collects valuable data on customers and your CRM platform, that stores this data, communicate with each other is fundamental. Not only does the integration enable automations that populate fields in your CRM based on the chat, but it creates a holistic view of the customer for your account managers – with data from entry to exit.

Choose live chat software that is built using open RESTful APIs to ensure quick and seamless integrations and two-way data sharing between live chat and your CRM.


10. Compliment Live Chat With AI-Powered Chatbots

Agent-assisted channels such as live chat often receive unnecessarily large volumes of routine questions. Chatbots can provide huge support to live chat by handling these routine questions through AI and subsequently freeing up the channel. The effect of which means that live chat agents can deal with the type of query they are trained to deal with – individual and complex.

By incorporating AI chatbots into your offering, automatic escalation to live chat channels take place. In instances where AI cannot find a solution to a non-routine query, the customer is seamlessly transferred to live chat, via the same window.

Further, such chatbots can be configured to automatically escalate to live chat when certain keywords are entered, for instance, “Renew” or “Emergency”. These keywords indicate urgency and therefore require human assistance.


11. Consider Live Chat’s Role in The Holistic Customer Journey

It’s important that the role of live chat as part of the wider customer journey has been considered. There is a multitude of potential customer journeys and its good practice to map the most common out.

Whilst live chat for customer service is necessary, not everyone that uses the channel needs to, a lot of queries and tasks can be dealt with using self-service tools and chatbots. Emphasise these self-service tools, so that they are your customers first port of call, not are they significantly cheaper to run, but according to one study , 73% of people said they preferred to use a website’s self-service instead of live chat and other channels.

For enhanced CX and CSAT through quickfire answers to routine questions, put self-service at the forefront of your offering, but ensure that effective escalation points are set up for when agent assistance is required. Additionally, do not make live chat impossible to find – customers recognise when they require human-assisted support.


12. Make Use of Integrations That Handle Personal Data Securely

Integrate your live chat with Identification & Verification (ID&V) software that securely handles customer data to confirm identities. ID&V takes care of this whole process for you so that confidential account information does not need to be dealt with by agents. The secure questioning process simply tells your agent whether ID&V was successful and they can commence with the task at hand.

Your live chat can also facilitate secure payments through PCI partners, taking place in the same window for your customer’s convenience and your brand’s credibility.


13. Use A Live Keypress Feed for Reduced AHT

Live keypress feed is a feature utilised by agents for efficiency. It allows them to see what the customer is typing before they have pressed send. This lets the agent solve the customer query often before it has been sent, saving significant time in the long run.

Live chat that includes live keypress feed helps to slash AHT, which benefits both agent productivity and CSAT.


14. Use AI Predictive Suggestions and Integrated Knowledge for Accuracy

Another helpful feature that exists within the agent interface includes AI predictive suggestions. When live chat is integrated with centralised knowledge, your agents can view a mini knowledge base in the same window as the chat itself, which makes looking up a topic or article simple.

AI predictive suggestions work with the mini knowledge base by suggesting relevant knowledge articles as the customer types their query.

These features help to ensure that the knowledge that is shared with customers is accurate and in line with what the centralised knowledge base says.


15. Ensure Chat Transfer Is Seamless to Enhanced FCR

Your agents all specialise in different areas, whether its complaints, renewals, sales or insurance. Therefore, it’s best practice that the chats surrounding each area are transferred to the appropriate agents. This is not only important in ensuring that customers receive relevant expert help, but by offering smooth transitions, First Contact Resolution (FCR) is improved.

Before joining a chat, customers generally pre-select the area that they require help with and this puts them in touch with an agent who has the relevant skillset. However, in some instances, customers might require help in more than one area or an agent believes a different skillset would be more suitable. This is when a seamless transfer from agent to agent is critical – this should all take place timely and within the same window so that the customer is not inconvenienced.


16. Study Live Chat Metrics for Continual Optimisation

It’s vital that your live chat software includes comprehensive metrics that can be analysed to influence key decision-making and continual optimisation. Both agent performance and knowledge article metrics are particularly useful in improving operations over time.

Live chat software collects data and compiles it into visuals and graphs that reveal where improvements must be made, areas that need flagging or interesting behaviours and insights. All of these can contribute to crucial decision-making and change that ultimately enhance operations and output.


17. Focus on ESAT If You Want to Improve CSAT

It’s no revelation that when your employees are happy at work, it’s reflected through their productivity, attitude and quality of work. Satisfying agents’ hygiene factors is a given, but what is effective in contributing to employee satisfaction (ESAT) is equipping them with tools that empower them.

Live chat that integrates with other business tools, offers a live keypress feed, AI-predictive suggestions, integrated knowledge and other features helps agents to:

  • Hit targets quicker
  • Become experts in multiple areas
  • Help more customers with a wide range of issues

All of which can lead to job enrichment and a sense of purpose at work, which in turn improves ESAT.


18. Utilise Agent Scripting

Agent scripting that is built and customised using decision tree technology can have positive impacts on AHT and FCR. Contrary to outdated, print-based scripts, decision trees allow supervisors to customise scripts by configuring a series of connected questions that guide your agents through complicated interactions with customers.

This gives your agents not only the independence to answer complex issues without supervisor intervention, but by doing so, costs are kept down and the customer journey remains smooth.


If you enjoyed this article you can read more about live chat in our 101 guide, or if you would like to find out more about a live chat solution that includes the features discussed in this article, then please

What Is Live Chat Software?

An Introduction to Live Chat Software

Whilst self-service channels are effective in solving customers’ routine queries, AI cannot always replicate the sensitivity and empathetic decision-making that comes with human understanding. Which is why live chat software is the perfect solution for queries that are more complex by nature, customers get the best of both worlds: the human touch and depth of answers that come with an agent-assisted channel, blended with the convenience and flexibility of using an online tool.

Customers are always going to have complex questions, the type that does not fit into the routine category and thus cannot be solved by self-service tools. This is why providing a live chat option online is paramount to CSAT and channel efficiency.

Beyond simple customer service, live chat can also facilitate lead generation and customer engagement, serving prospects, leads, new and existing customers.

How does it work?

On the customer’s end, a live chat conversation is initiated and their query is entered. This chat is received via the agent interface, otherwise known as the chat console, where it is assigned to an available agent, perhaps by skill if appropriate.

When integrated with a wider knowledge base, the interface recognises keywords that the customer has entered, prompting AI-powered predictive suggestions in real-time and shown in a ‘mini knowledge’ in the same window that recommends articles for sending. Agents can send pre-configured canned responses to save time or transfer chats to those with more appropriate skillsets. Certain live chat software includes live key-press features that allows agents to see what a customer is typing before they hit ‘send’, giving them extra time to resolve issues. All these functions are designed to promote incremental efficiencies.

Companies understand that there will always be non-routine queries to deal with and that agent-assisted channels prove costly. The reason why live chat software is so widely utilised is because it is a fraction of the cost of telephony and email. These features that enable incremental efficiencies along with the capability to handle multiple chats simultaneously, brings operational costs down significantly.

Live Chat Software Use Cases

Today, live chat software is diverse and can be used across multiple departments and for a range of functions.

Check out our 2021 Live Chat Buyer’s Guide, here.

Customer Service

Live chat is perhaps most commonly known for facilitating customer service online. It provides customers with quick, easy and convenient access to company representatives who can help them.One study revealed that 79% of customers preferred live chat over other channels due to its immediacy – a key contributor when it comes to CSAT.


Whether it’s a simple but non-routine query or a serious and time-sensitive issue, live chat software assists your customers when they most need it, building strong, positive associations with your brand.

Lead Generation

Live chat does not only serve customers post-purchase, but it can also assist in increasing lead generation. Live chat software can be configured to trigger under certain conditions, for instance, if a customer visits a certain product page more than once or spends a particular amount of time on the cart page. Such conditions suggest a lead is hot or is about to convert – this is where live chat can intervene via a proactive trigger, offering additional support and consequently secure the lead or sale.

According to one report, live chat leads to a 48% increase in revenue per chat hour and a 40% increase in conversion rate.

Customer Engagement

Live chat software can help companies build better relationships with their customers, enhance brand credibility and increase conversions – all through customer engagement. CX can be enhanced by personalising the customer journey. Agents have access to returning visitor’s preferences and transcripts and can therefore utilise this data to make the experience smoother, more efficient and more enjoyable.

Just by being present and available through live chat software, companies can reap the rewards of customer engagement. Kayako reported that 79% of businesses said that implementing live chat resulted in increased customer loyalty, sales and revenue.

Benefits of Live Chat Software

For Your Company

The implementation of live chat software can reduce your company’s operational costs significantly. Agent-assisted channels such as telephony and email are particularly high cost to run, this is because there are an accumulation of staffing and operational overheads involved, not to mention the fact that only one customer can be dealt with at a time, increasing handling times by upwards of 40% for some products. So, when companies deploy live chat software, that enables agents to handle multiple chats simultaneously, your customer service operations become more efficient. Pair this with features such as AI-powered predictive suggestions, integrated mini knowledge, live key-press feed and canned responses, that are designed to incrementally boost efficiency and huge operational savings are made.

The software can also have a positive effect on agents, which in turn can promote productivity and improve quality of work. When you deploy live chat software in contact centres and customer service teams, you are empowering agents by equipping them with tools that make their jobs easier. Not only do the features allow them to work through queries quicker, helping more customers, but access to integrated knowledge lets them become experts in many relevant areas.

Further, by including live chat in your online offering and using trigger management to prompt the tool when certain conditions are met, both lead and revenue generation can increase significantly.

For Customers

For your customers that require help with issues that are not routine and fit into the complex category, live chat is the ideal contact channel. Not only do they get to speak to a human who is experienced in the area at hand, but live chat can handle their queries quickly and conveniently – allowing them to carry on with everyday tasks at the same time. This is a huge improvement from having to wait in line to speak to an agent via the phone. Not only does live chat software reduce Average Handling Time (AHT) significantly, but it makes for happier customers and this is reflected in your CSAT scores.

Live chat software also contributes to a smooth and successful CX. The role in which it plays in the holistic customer journey is key in ensuring the customer gets to where they need to be. Live chat compliments other customer service tools that specialise in self-service, if a visitor engages with a chatbot for example and the software detects it cannot answer the non-routine query, a seamless escalation to live chat takes place, within the same window for great CX. The visitor does not feel inconvenienced and having interacted with the familiar instant messaging medium that live chat provides, CSAT is enhanced.

It’s clear why so many businesses rely on live chat as an indispensable tool in the customer service kit. Acting as an intelligent portal that connects customers to agents, live chat software promotes operational efficiency whilst bringing costs down. It is also heavily relied upon by customers – as the quickest way to contact your company, live chat enhances CX and contributes positively to CSAT.


If you enjoyed this article and would like to learn more about live chat software, check out our guide if you would like help regarding your organisational needs, please

What Is FAQ Software?

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An Introduction to FAQ Software

FAQs, frequently asked questions are simply that – the routine queries that are asked multiple times a day, every day by your customers. They involve your company, products and services and include queries such as:

An image that shows FAQs.

Having access to FAQs is vital to CX, today 67% of customers want to resolve their own queries through the power of self-service. This is why including a form of FAQ tool on your website is paramount. It enhances the customer journey by providing quick, convenient, 24/7 access to answers – which reflects positively in CSAT.

FAQ software facilitates this self-service. It lets your customers help themselves by providing a library of answers and search function that when engaged with, delivers the most relevant results.

Depending on your business size and requirements, a simple FAQ page might suffice for the most basic of self-service needs. However, for most companies, an excellent level of customer service and CX is essential and therefore such a solution would not be adequate. Instead, they opt for a more sophisticated AI-powered FAQ tool that can effectively provide customers with the answers they require through Natural Language Processing (NLP).

In addition to serving customers, FAQ software proves particularly advantageous to customer service contact centre teams. FAQ tools that utilise NLP enable the mass automation of routine queries and tasks that would otherwise be handled by agents. Not only does redirecting this type of query to an FAQ tool prove effective in reducing operational costs and staffing overheads, but it allows agents to dedicate more time to queries that are complex by nature. This contributes positively to CSAT.

FAQ software can do far more than simply answering a question, it helps customers get to where they need to be through escalation and from an internal perspective, acting as one centralised source of knowledge, empowers entire companies with the data it produces.

Types of FAQ Software

Basic FAQ Page Solutions

This type of FAQ solution is presented as a static FAQ page whereby users can type a question into a search bar and if there is an exact match, an answer that has been configured will show.

Whilst this might appear to be the best-for-value option, in the long run, it is likely to end up costing you more.

The content that is included on an FAQ page is based off opinion opposed to fact as a lack of data surrounding knowledge article popularity results in simple guesswork. What this means is that your FAQs aren’t FAQs, rather what someone believes them to be – which of course is problematic, creating a gap between you and your customers.

FAQ pages include a simple interface that is usually built with basic code, this means that making even a small edit involves many developer hours and before this, a long chain of command. The management of an FAQ page is therefore cumbersome, and often an inefficient use of many employees’ time.

Further, its basic setup restricts knowledge sharing and can increase the likelihood of errors occurring. Because an FAQ page is not the centralised source of knowledge, nor can it integrate with one, edits and changes cannot occur automatically. This results in many little updates that increase the chances of information inconsistencies and inaccuracies across the company.

Basic FAQ Tools

Basic FAQ tools have a similar structure to the FAQ page discussed – the only difference is that they can be presented in a variety of ways. Unlike the basic FAQ page solution, which is restricted to a static HTML page, basic FAQ tool solutions can take the form of a widget or pop-up. This is usually configured to show on certain pages and pop-up after a given amount of time.

Whilst this solution offers some flexibility in terms of presentation, its setup is basic and search functionality is limited. Its lack of AI and NLP utilisation removes any human-like understanding from the tool, so unless an exact keyword match is entered, results will not be triggered or therefore displayed to the customer. The effect of which takes a toll on CX as customers cannot find answers to their simple questions, often being told: “No results found.”

Poor FAQ Tools 

Effective FAQ Tool 

For these customers, their journey is cut short with no follow-up questions asked or channel escalation offered.

Intelligent FAQ Software

The solution for companies who want to:

  • Provide optimal CX
  • Ensure excellent customer service
  • Enhance CSAT
  • Have greater control over knowledge sharing, data and integrations

Far more advanced than the basic FAQ solutions previously discussed, intelligent FAQ software is the core of all company knowledge. Its role is fundamental, playing a key part in the overall customer service ecosystem and enhancing operations beyond the capabilities of other solutions.

An image to demonstrate how customer service technologies interlink

Intelligent FAQ software  is built on AI and stores all company information – from internal documents suitable for employees only to FAQs and product information, fit for customer consumption.

Knowledge base FAQ systems fundamentally instruct your FAQs. They track what customers actually ask most frequently; not relying on what you assume to be your top FAQs as other tools or static HTML FAQs do. You can’t improve what you can’t measure, so knowledge base analytics unlock a completely new dimension of CX delivery.

It is your centralised hub of knowledge, feeding any tool that relies on company information. It means that the answers your chatbot or self-service widget deliver to your customers are using the same source as the agent who is operating live chat is also referring to. This ensures complete consistency across all channels and reduces the risk associated with serving inaccurate information.

Your intelligent FAQ knowledge base can seamlessly integrate with:

  • Internal tools such as agent knowledge that assists in answering customers’ questions
  • Customer-facing tools that facilitate online self-service
  • 3rd party applications such as CRM or email management tools

An FAQ knowledge base utilises NLP to better ‘understand’ customer queries, taking into consideration the many ways in which a question can be asked. NLP breaks down each query into keywords, intent, grammar and popularity, analysing each component to produce the most relevant results, encouraging CSAT. If the query is non-routine and complex by nature, escalation to an agent-assisted channel is offered where a human can intervene.

An images to represent the 4 layers of Natural Language Processing: search keywords, intent, grammar and popularity.

Unlike the basic FAQ software options, an FAQ knowledge base turns knowledge into an asset for your company. By collecting and organising useful data, teams can learn from customer behaviour patterns, companies can optimise articles and operations can become more efficient. 

Because knowledge bases utilise Machine Learning (ML) principles they can even recognise patterns in customer preferences, language and grammar, storing such intel and using it for improved future interactions.

Every business and its requirements for FAQ software is different, but before beginning your software selection process, ensure you have outlined exactly what you need from it. For small start-ups with very basic needs, a simple FAQ page may suffice. But for companies that are focused on maximising customer service, they should consider intelligent FAQ software that supports customers and empowers employees. 


If you enjoyed this article and would like to know more about knowledge management, you can read our guide here or if you’d like help with any organisational needs, please

Why an FAQ Page Is Not A Substitute for A Knowledge Base

There are two key approaches that companies take to facilitate this. They include an FAQ page or a knowledge base.

But how do they differ?

FAQ Pages

Insufficient Data Leads to Insufficient FAQs

Generally presented on a static web page, FAQs are simply a list of frequently asked questions and answers. They aim to cover and address customers’ routine questions online and effortlessly, but unfortunately often miss the mark. Due to the lack of knowledge analytics, the frequently asked questions and answers that are included on such a page are usually based off gut or opinion rather than data itself. Because there is no data stored regarding popularity of routine questions, many companies don’t truly know their FAQs and rely on guesswork. Consequently, the FAQ content is often lacking, limited or general, resulting in customers feeling frustrated – which in customer service is exactly what you want to avoid.

An image that shows the lack of information available on an FAQ page.

Lack of Ownership Results in Inefficiencies

When it comes to the management of an FAQ page, editing, adding and updating can prove cumbersome. Built using basic code, even making one simple update to the content can involve a long chain of command. For instance, someone at head office notifies their team who must tell the web team or agency, who must then notify the developers to make a change. This inefficient way of information sharing means that mistakes are easily made or customers miss out on vital information due to FAQ page mechanics. This is only exacerbated in larger companies where small changes are not made ad-hoc, but instead they are collected and sent in bulk, denying customers of even more important information.

Information Architecture: The Lack Thereof

FAQs page do not utilise information architecture: the structural design of shared information for efficient user experience. Without the organisation, labelling, categorisation and lack of effective search systems, FAQs cannot deliver a positive customer experience. Instead, customers often find themselves going around in circles with no adequate results found and a limited access to content.

Existing Customers’ Needs Are Not Catered To

Furthermore, the content on FAQ pages generally address the basic queries of new customers, for example opening hours, delivery information, returns policies and so on. What they fail to cater to are the needs of your regular customers who will have more detailed routine queries. Questions that are product related, how-tos and purchase follow ups. Whilst customer acquisition is important, neglecting existing customers can prove detrimental to business. Consider the importance of customer value and loyalty and choose a knowledge tool that suits both new and existing customers’ needs.

Knowledge Bases

A knowledge base on the other hand acts as your company’s centralised library of knowledge, connecting to all outlets to provide customers with a wide range of accurate, consistent answers.

An image to demonstrate how customer service technologies interlink

Ownership Allows for Efficient, Real-time Knowledge Updates

A knowledge base is a fundamental knowledge management tool that is overseen by a Knowledge Manager to ensure the right information can be found by the right people at the right time. It can store thousands of knowledge articles containing key questions and answers, multimedia and downloads. The content residing in a knowledge base can be developed, updated and edited in real-time, these changes are instantly reflected on your website and any internal users are notified to promote transparency. Such knowledge is intricately organised using multi-layered algorithms, Natural Language Processing (NLP), categories and advanced search systems to ensure customers are served adequate results regardless of how a query is phrased.

Knowledge Analytics Reveal Your Most Popular Questions and More

Because knowledge bases are built on AI, every customer interaction is stored as data and can be interpreted using its analytics. This is how knowledge becomes a true asset, providing valuable intel on customer behaviour, product and services, errors, bugs and of course, what a company’s most frequently asked questions are.

One Centralised Source Promotes Company-wide Consistency

Companies that implement knowledge base software benefit from operational efficiency. Because all knowledge belongs to one single source, the risk of error is significantly reduced. There is no long chain of command as a Knowledge Manager who is committed to optimising knowledge will amend content whenever is necessary. A knowledge base’s agility allows it to integrate with every customer facing and internal portal your company has, whether its live chatweb self-service , chatbot or internal knowledge , the results generated come from the same source every time for consistency and quality.

All Customer Types Are Served Through A Range of Tools

Unlike the static web page that FAQs are hosted on, a knowledge base gives companies choices as to how to present knowledge to their customers, including:

A self-service pop-up

A self-service widget

A self-service page

A chatbot

An icon for Synthetix Chat product

Live Chat

A combination or all of the above

This allows a greater volume of customers with different needs, at different stages of the buying cycle and with different query types to be catered to, enhancing CX, the likelihood that the query is resolved and therefore positive CSAT scores.

The key differences between a KB and FAQ page

Knowledge BaseFAQ page
Artificial intelligence:
AI and NLP are utilised to enable First Contact Resolution and therefore reduce overall costs.
Knowledge analytics:
Knowledge analytics are available to provide intel on knowledge content, customer behaviour, errors and more.
Ownership:
A dedicated Knowledge Manager has full ownership to ensure smooth and efficient operations.
Consistent knowledge:
One centralised source of information is used, allowing for consistent company-wide knowledge sharing.
Information Architecture:
Information is organised using search systems, categorisation and labelling to help users find the information they require.
Focus on new and existing customers:
Knowledge can be presented in a variety of ways to serve customers at different buyer stages.

Impact on Consistency of Information

A key difference between FAQs and a knowledge base involves the consistency of information that is delivered to customers. The processes behind an FAQ page are inefficient and different sources of information are updated at different times leading to discrepancies which can prove detrimental for companies.

A small information divergence is annoying for customers, proving time wasting as they must take care of problem solving and discrepancies by themselves, this in turn can affect customer satisfaction resulting in poor CSAT scores.

However, what is more damaging for a brand is when a major update is not cohesive across channels and therefore the FAQ page is not changed in a timely manner. Inconsistencies in major delivery updates or critical allergy announcements can not only result in influxes of complaints that lead to a bad reputation, but more seriously, PR nightmares, legal complications and at worst, someone is hurt.

It is crucial for business that the information served to customers if always consistent, up-to-date and accurate. All of this can be guaranteed using knowledge base software. Because all information outlets, such as self-service pages, chatbots and live chat tools get their information from one centralised source – the knowledge base – the risk of inconsistencies are significantly reduced encouraging smoother operations and happier customers.

Impact on Operational Efficiency

Another fundamental difference between FAQs and a knowledge base includes operational efficiency, in particular operational costs and overheads.

Knowledge bases are significantly more cost efficient to run than FAQ pages, this is because the updating of an FAQ page requires a long chain of command, multiple people and teams, plus several layers of signoffs. This equates to an accumulation of high staffing costs. A knowledge base on the other hand, is managed, maintained and updated by one Knowledge Manager, removing all operational costs that would otherwise be associated with an FAQ page’s operations.

When it comes to running an FAQ page VS running a knowledge base, an FAQ page is considerably more expensive. The larger your company is, the larger the cost gap will grow.

Due to a knowledge base’s depth of answers available and the agile AI-powered search system that customers use to retrieve results, contact levels are significantly reduced, which subsequently cuts overall customer service and contact centre costs. In fact, a study by Gartner revealed that an 18% reduction in support costs occurred by encouraging knowledge management tools such as a knowledge base. Because a knowledge base has the capability to automate routine queries – giving customers the tools they need to answer their own questions online – agent assisted channels are given more capacity. These expensive contact channels like email or telephone now have a greater bandwidth to deal with customer issues that are more complex and require human assistance.

FAQ pages, in comparison, seldom provide customers with the answers they need, due to their simple setup, that unlike knowledge bases, are not built on AI or utilise NLP, they can never truly be a self-service tool. Instead they often send customers round in loops whereby customers’ frustrations only grow before inevitably having to call customer service to solve their problem. Their customer query has not been automated, high costs still occur and the customer is now annoyed.

While it’s easy to get FAQs and a knowledge bases mixed up, the two are intricately different from one another. One includes a simple overview of basic information, whilst the other is an effective means to streamlined self-service. Most importantly, an FAQ page cannot be a substitute for a knowledge base.

Implementing a knowledge base into your customer service ecosystem helps to promote efficiency, reduce overheads, boost CX and of course improve CSAT scores. If you would like to learn more about knowledge management tools such as knowledge bases, you can do so here.


If you enjoyed this article and would like any advice regarding knowledge base solutions, please

AI Chatbots in Customer Service: A History

An Introduction to AI Chatbots

In recent years chatbots have become an integral part of companies’ customer service offering, providing benefits such as:

  • Operational efficiency – the capacity to resolve mass queries at scale
  • Improved CSAT scores – utilising Natural Language Processing (NLP) for the best customer experience
  • Instant, 24/7 support – providing customers with around the clock assurance
  • Seamless customer journeys – guiding customers to the intended result
  • Brand personification – chatbots can be customised to represent company character
  • Lead generation – automating the qualification process for efficiency
  • Enhanced CX – Machine Learning principles enable improved experiences
  • Improved employee morale – automating routine queries allows agents to focus on complexities
  • Smooth escalation – identifying when a customer should be transferred to a human

So how does it work?

AI-powered chatbots utilise intelligent algorithms, Machine Learning (ML) principles and Natural Language Processing (NLP) to ‘learn’ from user behaviours and patterns to become more effective over time. Usually integrated with a centralised knowledge base, an AI chatbot can interpret query variations to identify the adequate result and deliver it using a conversational manner. The more interactions the chatbot has, the ‘smarter’ it becomes.

It is important to note that there is a key difference between an AI chatbot and a chatbot, one relies on artificial intelligence and the other relies on rule-based automations:

  • Basic, rule-based chatbots: built on simple FAQ automations, this type of chatbot can only respond to queries that exactly match its pre-loaded responses. These will only trigger when specific keywords are entered by the user, any variations will not register. The most common answer these chatbots serve is “I don’t understand the question”.
  • AI-powered chatbots: using multi-layered algorithmic Natural Language Understanding (NLU), these chatbots understand customer intent and respond conversationally using Natural Language Generation (NLG). This approach will deliver the right response, regardless of how a query is phrased.

Basic, rule-based chatbot

AI-powered chatbot

An image to demonstrate the differences between basic and advanced AI chatbot software.

The global chatbot market is expected to grow by $1.11 billion during 2020-2024 – and CAGR of 29%. But how did we get here?

Early AI Chatbots

Artificial intelligence and bots can be traced back to as early as the 1950s when Turing famously designed the Turing Test which would determine whether a machine could pass as a human based on the answers it gave.

But let’s focus on 1990s when the then, “chatterbot” was born. Unlike the chatbots of today, the initial wave of chatterbots weren’t created to facilitate customer service. Instead they were essentially a toy that was played with to test the bot’s intelligence. The way these chatbots learnt was from people talking to them – the more intel their community fed them, the greater their database of ‘knowledge’ became.

Cleverbot (1997) and other chatterbots constructed their replies by drawing on their database of previous conversations rather than consulting a regulated set of knowledge articles through NLP. This quickly became problematic when it was made available to the public.

Why?

  • Because people were intentionally ‘teaching’ the chatbots offensive ‘knowledge’, it would serve users just that.
  • Due to the nature of the learning process, there was no control over the content that was being delivered, this meant no way to prevent profanity or inappropriate ‘views’ being shared by the bots.
  • These chatbots were viewed simply as toys, they learnt nothing of true value and didn’t serve a purpose other than to entertain.
A screenshot of the disclaimer featured on Cleverbot’s homepage.

Following this, there were several developments to try and introduce Machine Learning (ML) chatbots, including Microsoft’s Tay AI (2016). This wasn’t specifically focused on customer service like the chatbots of today but was Microsoft’s attempt to find out if a chatbot could learn like a human.

Tay AI was launched on twitter as a novelty bot, using the tweets she was sent as her training data, Microsoft explained: “The more you chat with Tay the smarter she gets.” The fundamental issue here was the uncontrolled training data – Tay was learning from users who were tweeting their offensive, inflammatory views and once she has drawn similarities and identified patterns, she began to repeat such statements. Her sentence structures were sound, but their content was nonsensical and often controversial.

This is an example of how unregulated training data doesn’t work for customer service chatbots, whilst she managed to learn punctuation and how to form a sentence, she could not identify that what she was saying was offensive. Tay AI backfired for Microsoft and was removed from Twitter after just 16 hours.

Modern Day AI Chatbots

Today, AI chatbots don’t use unregulated or generalised training data, instead they utilise carefully curated data based on customer needs. Such data is usually stored in a centralised knowledge base which is configured to contain ML within set parameters so that companies can reap the benefits of using a chatbot, whilst avoiding fiascos such as Tay AI’s.

Modern day AI chatbots are most commonly used in customer service and use NLP to deliver results in a conversational way. Once a user enters their query, intelligent algorithms and NLP analyse the query, dissecting the sentence into search terms, grammar, and keyword popularity to serve relevant articles to the user.

A image to demonstrate the 4 layers of search intent that is used by Natural Language Processing at Synthetix.

If there is not an obvious match available then some AI-powered chatbots use additional search layers such as Synthetix’s “Jabberwocky”, which utilises NLP to understand sentence structure. It carefully unpicks the sentence into word classes and identifies conversational responses based on the proprietary Natural Language Generation (NLG) which can also be manually edited and configured by the Knowledge Manager.

The purpose of such additional search layers is to inject brand personality into the conversation whilst improving the accuracy of answers provided. It also ensures that customers will always receive a conversational response, not “I’m sorry, I don’t understand that question” – which proves frustrating for customers, thus poor CX.

The AI-driven chatbots of today are significantly more controlled than those of recent decades with greater efficiency of customer service but with the same, engaging human-like interactions.

AI Chatbots In Customer Service

AI chatbots are considered a crucial part of a company’s online customer service offering and can prove invaluable to both customers and teams across a multitude of industries.

AI Chatbots For Customers

When executed well, chatbots are considered a valuable tool for customers, providing them with quick answers 24/7 through a convenient platform. This is especially useful for those in emergency, out of hours situations who require real-time access to contact details for assistance, or those who simply don’t have time to engage with agent-assisted channels.

AI chatbots can significantly improve customer experience through customer journey technology and ML principles. Certain chatbot solutions utilise decision tree technology to effectively guide the customer to their intended destination. Whether that be a knowledge article, product page or social channel, decision trees, that are carefully configured by a Knowledge Manager, ask a set of questions that will ultimately determine the customer journey and end goal. Without such measures in place, the chatbot assumes that the customer has carried out all necessary problem solving themselves – which is rarely true. The same technology can identify when it is best for an agent to intervene and can seamlessly escalate a customer to an agent assisted channel such as live chat.

An image to show Synthetix Decisions interface

Moreover, chatbots can learn from every customer interaction, storing popular keywords, grammar and colloquialisms for future conversations – constantly improving CX.

AI Chatbots For Teams

Customer service and contact centre teams can benefit significantly from introducing chatbots into their offering. Because they are powered by AI and configured to utilse NLP, the accuracy, efficiency and quality of answers delivered is of a high standard, this improves over time as bots learn from their interactions, having a positive effect on CSAT scores.

Chatbots allow routine questions to be automated, this results in mass queries being resolved at scale promoting not only operational efficiency but reducing overheads. Accumulated operational and staffing costs are cut because a large portion of queries are dealt with digitally and via a bot. Additionally, because routine queries are automated, contact centre employees are given greater bandwidth to deal with more complex, sensitive and subjective issues. This encourages job satisfaction, empowers employees and impacts positively on staff attrition rates.

Chatbots can also directly attribute to revenue streams. Acting as a lead generation tool, some chatbots are configured to qualify leads before they are passed on to sales teams. Equipped with data including the questions they have asked, the preferences they have chosen and using data capture functions, their contact details, leads can be instantly escalated to an agent to nurture. This is particularly useful for teams who previously would have no intelligence on potential ‘hot leads’, but through NLP, can be identified and moved into the sales funnel.


If you enjoyed this article and would like to know more about AI chatbots, you can read more here or

An image of a customer using a self service tool

What Is Self-Service Software?

Self-service technologies include a number of forms, such as:

  • A help section on your website
  • An interactive knowledge base
  • A chatbot

Optimised for convenience and usability, these tools allow customers to find the answers to their own questions, quickly and with ease.

Unlike other contact channels that involve customers liaising with support agents, such as live chat , email or phone, self-service software provides the support that customers, who want to be proactive require to resolve their own queries.

Customers engage with self-service software when they would like to find out more information, answer a query of troubleshoot an issue. This will generally relate to a product, service or the company itself. The software is built upon AI using Natural Language Processing (NLP) and Machine Learning (ML) principles to understand naturally phrased questions and have the ability to match relevant questions with answers.

An intelligent Knowledge base

Self-service software connects to a customer-friendly version of a wider knowledge base to deliver customers accurate and consistent information on every occasion. A knowledge base contains thousands of articles that include everything from company return policies to opening hours, troubleshooting videos to terms and conditions – sophisticated technology serves customer relevant results based on what is typed into the self-service search bar.

Not only is web self-service a key tool for facilitating good customer service, but it is an imperative part of the wider customer journey. If a customer has a question or issue that needs solving, it is likely that they will self-serve before ascending to other forms of contact. In fact a study by Microsoft revealed that 66% of customer will engage with self-service first rather than immediately talking with an agent.

Why Is Self-Service Software So Important Today?

The customer self-service software market is estimated to grow from USD 4.33 Billion in 2016 to USD 9.38 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 16.7% during the forecast period.

Self-Service Is the Key to Efficient Customer Service Operations

Growing contact volumes are a huge challenge for customer service and contact centre teams. Increasing support queries are putting a huge strain on support teams and agents unnecessarily, flooded with routine questions, they cannot focus their full attention on complex customer queries. This in turn can affect resolution times and quality, causing them to drop and customer satisfaction to suffer.

The reason that self-service software is currently so valuable to customer service teams is that is mitigates contact significantly. It can automate the entire question and answer process for a huge segment of customers, allowing agents to sufficiently deal with those in need.

Changing Customer Needs and Expectations

Customers’ needs and the way in which they engage with customer service is frequently changing, it’s one of the reasons why so many companies incorporate self-service options into their customer service offering; to build adaptation into their customer service front-lines.

It is becoming increasingly common for customers to consult a search engine or website for answers before reaching out to a support agent. In fact, a study by Synthetix revealed that 90% of consumers will always check a website before e-mailing or calling a company to find information.

Customers want the freedom to serve themselves and find out information on their own terms. There is a reason that self-service has been normalised for simple day-to-day operations such as paying for shopping, checking in for a flight and even self-ordering in restaurants. It has become many customers’ preference, and the same applies to online customer service. So much so that more than 90% of consumers expect organisations to have an online customer self-service offering. To ensure customers remain satisfied, companies must react to their needs and offer web self-service options.

We live in an increasingly fast paced world. As humans we are doing more at a quicker rate – customers are interacting with brands more, purchasing more, returning items more and subsequently, expecting more. A pwc study revealed that speed and convenience mattered most to customers, each hitting over 70% in importance when it came to experience. Fast solutions have become an everyday expectation for customers, which is why self-service software, that is easy to use, provides answers instantaneously and is available 24/7 is in such high demand.

Millennials and Gen Z prefer Self-service

Millennials (born between 1980 – 1995) and Gen Z (born between 1996 – 2012) now make up over 60% of the worldwide population. Having grown up in the digital age with smartphones, e-commerce and broadband, the internet is a comfortable place for them – and this applies to their customer service habits. Millennials and Gen Z would prefer to help themselves than engage with a support agent. A recent study revealed that 75% of millennials would rather use self-service and avoid picking up the phone.

Millennials and Gen Z, who constitute a significant portion of your customer base are self-reliant, expect things ‘on-demand’ and like to answer their own questions – it even makes them “feel good” when they can solve a problem solo. This generation has particularly high expectations when it comes to customer service – they want convenience, flexibility and instant answers – but most importantly, they are the future and companies should be catering to their preferences.

Shift in Digitisation

By 2023, more than 60% of all customer service engagements will be delivered via digital and web self-serve channels, up from 23% in 2019.

There has been a steady shift in digital transformation over the last decade, making online versions of shopping, banking and even counselling available and convenient for anyone to use. But are we moving towards a time where everything will be digitised?

External challenges like the shift in digitisation along with additional pressures such as those related to the COVID-19 crisis are causing customers to visit brick and mortar establishment less and less. The impact of which means consumers turn to digital substitutes for their needs, including costumer service. Consumers no longer visit physical businesses to solve problems, seek help or complain, just like their business transactions, they do it online. This is why self-service is effective, it simplifies things for the customer, but also alleviates the pressure put on support teams who are feeling the burden of a recent upward trend in online support requests.

What Are the Benefits of Using Self-Service Software?

Improved CSAT

A study by Microsoft revealed that 95% of respondents cited customer service as important in their choice of loyalty to brand, with 61% having switched brands due to poor customer service.

All too often customers are unnecessarily kept waiting in line for long periods of time to speak to support agents, subsequently causing frustration. This can easily be avoided using a self-service offering. Not every customer who is on hold needs to be there – which is why it’s vital that a ‘do it yourself’ option is available and accessible to avoid not only disgruntled customers, but strain on customer service.

Serving customers quick, accurate answers using a easy to navigate solution, can help build a lasting relationship between you and your customers and as a result, positively impacts your CSAT scores.

An image demonstrating CSAT

Reduced Operational Costs

Supermarkets that utilise self-service checkouts save operational costs by requiring fewer employees to oversee and assist customers – and the same applies to online customer service.

Self-service software helps to automate routine queries and by doing so the volume of support tickets, phone calls, emails and live chats are considerably reduced. This means employees spend less time dealing with routine questions and therefore the backlog is reduced, cutting operational and staffing costs significantly.

It can also impact operational efficiency positively, for example by reducing Average Handling Times (AHT). Because self-service is designed to deal with routine queries, time that agents would have otherwise spent answering high volumes of FAQs is significantly reduced. Self-service ultimately allows customer service to offload an entire category of enquiries, giving them greater capacity to dedicate more time to solving complex customer issues.

Consistent Answers

The beauty of self-service software is that it connects to the same library of knowledge that the entire customer service team consults when dealing with customers. The results that are served to the customer are pulled from your company knowledge base using sophisticated algorithms and AI.

This ensures that all answers that are delivered to your customers are consistent with the company and accurate. Companies that do not utilise the same source of knowledge across teams and contact channels risk providing inconsistent or inaccurate answers that could significantly harm their company and reputation.

Human-like Understanding

Self-service software utilises AI-powered Machine Learning (ML) so that it can learn from every customer interaction. This helps identify any errors, learn terminology and grammar and also serve the most popular answers in order to optimise customer experience.

Natural Language Processing (NLP) is also used to help self-service software understand exactly what the customer is asking, using algorithms, it takes into consideration the keywords, intent, grammar and popularity of the question. This way the software can correctly respond to customers’ naturally phrased question, similar to how a human would.

An images to represent the 4 layers of Natural Language Processing: search keywords, intent, grammar and popularity.

Enhanced Customer Experience

Online customer experience has never been more important, with expectations higher than ever, customers want a smooth journey to their resolution, without roadblocks that create frustration.

With two thirds of customers preferring to first try solving their issue on their own, it is important that companies provide self-service software that supports this. It is equally important that self-service software offers escalation points, such as live chat to put customers in touch with an agent who can help with complex issues that cannot be solved using self-service – all of this contributes to an positive customer experience and therefore satisfied customers.

Empowered Employees

Self-service software proves not only advantageous for customers, but for employees too.

Because self-service software effectively automates questions and answers, employees who would otherwise be dealing with repetitive, mundane routine queries can now focus on helping customers with complicated issues. This not only relieves pressure on employees who were before flooded with routine qyestions, but it contributes to their sense of purpose, empowering them, which in turn can improve staff attrition rates.

Implementing Effective Self-service Software

When implemented correctly, self-service software benefits your company, employees and customers greatly. But there are challenges surrounding this tool, including:

Visibility – can your customers find it?

Functionality – does it work as intended?

Content – is there adequate knowledge available? A recent study revealed that 43% of respondents believed there was not enough information available through self-service

Ascension – if a customer’s query cannot be solved, is there an alternative channel offered?

Good self-service software can deflect customer contact by up to 50% (Synthetix research), improve customer satisfaction, enhance customer experience and make businesses more efficient overall. Here’s what to look out for effective implementation:

Low/No-Code Implementation

When looking at self-service software, it is important to choose your vendor carefully. Integration of these tools into your website can either be simple, installing 1 line of code, or a costly process involving many development hours. Make sure that you work with a vendor with a no-code philosophy, where all of the development work for the look, feel, design and operation of the tool is handled on the vendor’s end, requiring zero ongoing development work.

Streamlined Integrations With 3rd Party Systems

Choosing self-service software that can easily integrate with existing workflows and processes is crucial – the more platforms that can communicate with one another the greater access you have to better decision making and efficiency.

Effective self-service software is built on open RESTful APIs to ensure seamless integration with other existing tools such as a company knowledge base , other customer-facing applications such as live chat or 3rd parties including CRM and email integrations.

Allowing such connectivity can save time and resources and give your company a ‘360 degree’ view of your customer base, encouraging better service.

Escalation

Good self-service software should not only facilitate customer service, but the overall customer journey, start to finish.

It is important for self-service tools to include pre-configured escalation points to promote a smooth and successful experience. Escalation points offer a means to transfer the customer to an agent who can offer additional support and by doing so increase positive CSAT scores. If the self-service tool cannot find an adequate match for the question that is being asked, an escalation option can be included, transferring the customer on to an agent assisted channel such as live chat.

Using trigger management, Knowledge Managers can also configure escalation points based on the keywords that customers use. Keywords such as “cancel” or “renew” involve revenue and warrant agent attention opposed to a self-service response and can therefore be set up to introduce an escalation point. This gives customer service teams greater control over customer churn and upselling opportunities, contributing to revenue over time.

Reporting and Analytics

It is fundamental that self-service software includes comprehensive reporting and analytical tools. Companies can frequently improve the content and the way in which self-service software engages with customers thanks to its reporting features.

Not only can you identify your most popular questions, any errors or gaps from the analytical reports, but customer feedback can explicitly tell you how to improve. The “Did you find this article useful?” prompt can tell you a lot about your content and how effective it is – or isn’t in some cases.

Because customer needs and behaviour are constantly changing, self-service reporting is key in ensuring you are keeping up with any major trends.

If companies want to retain customers by offering them great a customer service experience, whilst benefitting from a multitude of operational wins, they should have a range of customer service offerings in place, including self-service technologies.


 If you enjoyed this article and would like to know more about self-service software or require help implementing self-service software, please

What Is Knowledge Management?

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“If only HP knew what HP knows, we would be three times more productive.” -Lewis Platt

What Is Knowledge Management

Knowledge management is a practice used by a variety of companies to optimise their collective knowledge and the way is it used. It focuses on the process of identifying, capturing, organising, sharing and managing company knowledge.
Knowledge comes in many forms and can include:

  • Data
  • Information
  • Experience
  • Ideas
  • Perspectives

In recent decades, a shift in digitisation saw a greater demand for knowledge management; organisations learnt that the controlled and optimised sharing of knowledge could contribute to achieving operational and strategic objectives.

As a key function, it is responsible for integrating people, processes and knowledge management tools and technologies to encourage the seamless flow of knowledge throughout a company. Knowledge management considers knowledge as an asset and can reshape business culture into one that is collaborate, transparent and promotes knowledge sharing. 

The practice of knowledge management extends far beyond intranets and databases and helps businesses deal with both explicit and tactic knowledge.

Let’s discuss the differences:

Explicit Knowledge

This is the codified knowledge that can be found in company databases, documents, records and files. It is essential to business and simple to extract and share. Examples include policy documents or agent scripts.

Tacit Knowledge

Tacit knowledge is difficult to communicate and therefore hard to capture and share. It is usually derived from experience and practice and is unique to a business – which is why it is so valuable.

Tactic knowledge requires good knowledge management that handles it with great care, ensuring that nothing gets lost in translation.

What Is Knowledge Management Software?

One of the greatest challenges when it comes to knowledge management is knowing how to execute it. The best way to do this is by implementing knowledge management software that can help you deliver your knowledge management strategy successfully.

Another prominent challenge that businesses find is getting employees to embrace the discipline. Just like any new practice or change within the workplace there will always be some uncertainty. How do you overcome this? By making it easy for your employees to embrace – which is where good knowledge management software comes in.

Knowledge management software helps businesses simplify the knowledge management process by organising, storing and sharing knowledge in a sophisticated yet user-friendly way.

Knowledge Base for example, is a popular knowledge management tool that acts like a library of knowledge that can be accessed by your company and developed whenever is necessary.

Such knowledge management software can hold thousands of articles of knowledge. They are engineered using advanced search algorithms, categorisation and views to help companies save time and organise knowledge in a digestible way.

Machine learning principles and Natural Language Processing (NLP) make finding answers simple. An employee can type a question into the search bar and a series of relevant results will be displayed. A knowledge base will learn over time based on user interaction and results to optimise the answers given. These results can easily be edited, developed and shared to assist the successful execution of knowledge management.

Employees become advocates of such software, not only is everything available at the click of a button, all in one place, but they are given the freedom to learn and retain crucial knowledge before it is potentially lost with employees that leave a company.

Find out how to effectively roll-out internal knowledge base software, here.

What to Look for in Knowledge Management Software

Any good knowledge management strategy is centred around effective knowledge management software
But what should you look for in knowledge management software?

Implementation and Integration

Effective knowledge management software integrates seamlessly into an existing ecosystem of products.

The knowledge platform should fit in with current processes, workflows and other knowledge and customer service software, such as:

  • Internally-facing applications that gives your team access to your company’s wider information, assisting them when talking to customers. This allows agents to quickly pull answers from one reliable, centralised source resulting in an improvement in First Contact Resolution (FCR) and Average Handling Times (AHT).
  • Customer self-service software, helping customers answer their own questions online. This reduces the overall number of inbound contacts for contact centres to process.

To integrate with 3rd party systems such as email management tools or CRMs, knowledge management software should be built on open RESTful APIs. This ensures compatibility with most 3rd parties, providing you with a full, ‘360 degree’ implementation of shared knowledge into your organisation and holistic analytics.

An image showing how Self-Service, 3rd Party Tools and Contact Centres all integrate with Knowledge

User-friendly Interface

Consider software that offers a practical agent desktop or web interface for you to choose from. Software that includes user-friendly features such as note-taking, categories, views, internal tabs for quick viewing and customisable interfaces can help employees navigate software better, giving them the right knowledge quickly.

Such knowledge management tools can increase agent efficiency, offering relevant answers and optimising the time and accuracy needed to resolve customer queries.

Natural Language Processing

Knowledge management software that uses natural language processing (NLP) and AI-powered machine learning principles can enhance the quality of the answer that is delivered to the user (whether that’s an employee or customer).

Choose software that understands naturally phrased questions, can learn and uses search intent; taking into consideration the keyword, intent, grammar and popularity of the question to deliver the most relevant result.

Analytics

You can’t improve what you can’t measure. Without comprehensive analytics, companies are working in the dark, blind to the effectiveness of the content in their knowledge base. Reporting and analytics suites help businesses learn and develop their knowledge management and should be central to any knowledge management product. Popular queries can be pulled to develop content around, whilst agent performance reports can be produced to measure efficiency.

Why Is Knowledge Management Important?

Knowledge Management concentrates on what is known and not documented. An approach that can help enhance company culture, remove siloed knowledge and by doing so, increase organisational efficiency.

We have significantly more knowledge stored in our brains than we do written down. All too often this becomes a problem for businesses when their long-term employees leave – their knowledge leaves with them. Years of accumulated tacit knowledge is lost just like that. Recovering and reteaching such unique knowledge proves incredibly time-consuming, costly and often impossible.

Another risk that companies face by not adopting knowledge management, involves knowledge silos. In a time when flexi and remote working is becoming the new norm and teams are often dispersed across locations, there comes a lack of sharing and collaborative culture – and this is how knowledge silos are formed. Knowledge management aims to eliminate knowledge silos within organisations so that information is accessible to the right people whenever they require it.

Unless it is encouraged, teams don’t always communicate. If the value of knowledge sharing is clear to employees and knowledge can be seen as an asset, then it will eventually become part of the culture.

Without knowledge management your company could miss a lot of invaluable, irreplaceable knowledge, resulting in wasted resources, high costs and frustrated employees and customers. It’s all about knowing what your business needs to know and making this available to the right people in the best way for them.

Benefits of Good Knowledge Management

How can knowledge management benefit your company and customers?

Improved Efficiency

One of the biggest impacts on business when it comes to knowledge management, is improved efficiency – particularly at an operational level.

Organised, accessible and digestible knowledge makes for faster decision making and therefore less time spent dealing with routine questions. The impact of this can be seen on the bottom line – a study by Gartner revealed that an 18% reduction in support costs occurred by encouraging knowledge management.Knowledge management means no more waiting around for that email response from HR, which you will then have to reply to a couple of times before eventually reaching an answer. It also results in significantly less time spent training and onboarding new employees, on average a 30% reduction in agent training times. This is because the internal knowledge that has already been captured and stored is permanently available for future starters at any time.

Customers can benefit from your knowledge management too, existing in the context of self-service, customers no longer need to wait for the answer to a FAQ, they can solve it themselves using the knowledge stored in your knowledge base.

Greater Accuracy

It’s perfectly normal for humans to make mistakes, but without knowledge management, companies run the risk of the same mistakes happening time and time again, whether it’s years apart or in different departments. The beauty of knowledge management is that resolutions can be stored and made available to prevent this from happening.

Knowledge management also allows for consistent information to be shared which is particularly important if you are communicating with customers. Providing inaccurate, inconsistent information to customers can prove problematic but easily avoided through knowledge management. All it takes is a simple search using a knowledge management tool and standardised company information and policies are available to consult.

Empowered Employees

Employees just want to do their jobs. So, when obstacles are put in the way of them fulfilling their tasks, such as lack of information or delays waiting for access to information, it can become incredibly frustrating for them.

In fact, a recent study revealed that 51% of participants felt frustrated at the inability to access a former colleague’s institutional knowledge, while 25% said they were overwhelmed. The impact of which can include low staff morale, subsequently affecting productivity.

Making knowledge available to agents who need it or wish to learn more can empower them. When given quick, easy access to the right information, without having to ask permission first can boost productivity and staff retention.

Customer-facing knowledge management tools, otherwise known as web self-service automate routine questions, removing the mundane from agents’ roles. As a result they can deal with more complex customer issues, promoting staff morale.

Satisfied Customers

The internal benefits your company experiences from adopting knowledge management can positively impact your customers too, enhancing the service and experience you provide them.

When knowledge is optimised effectively companywide, stored and shared in a knowledge management tool such as a knowledge base, customers can benefit from quick access to information such as return policies, how-to guides or troubleshooting videos.

20%

Did you know that 20% of routine questions can be handled online using knowledge management tools?

Source: Synthetix research
Self-service software integrates with your company knowledge base which, by utilising a filtered view, grants customers access to vital answers to their routine questions. Customers, who prefer to self-serve can resolve issues themselves, rather than having to contact a company representative directly and therefore has an enhanced experience – reflecting positively on NPS and CSAT ratings.

Cultural Shift

Embracing knowledge management within a company can have huge positive effects on teams. Whilst this culture shift won’t happen overnight, companies that embed knowledge management eventually experience a transparent knowledge sharing culture.

Not only does a knowledge sharing culture encourage collaboration across an organisation, producing a new array of ideas and innovation, it also helps to reshape employees’ perceptions of knowledge. Instead of viewing knowledge as a thing we all have in our heads, employees begin to see knowledge as an asset. They appreciate that just like people, finance and brand are valuable assets that require management and specialised systems , so does knowledge.

Knowledge Management Process

The overall knowledge management process doesn’t need to be complex or lengthy. It does however require specialised technology to ensure smooth execution.

There are several ways that the knowledge management process can be broken down, but in its simplest form it can be categorised into 4 parts: discover, capture, organisation, share.

Let’s unpack these 4 steps further.

Discover

‘We only know what we know when we need to know it” – Dave Snowden

The discovery stage of the knowledge management process is responsible for finding out what exactly a business needs to know and where knowledge already exists. This generally includes explicit knowledge that is already documented, but perhaps in a fragmented way.

Knowledge management will extract this explicit knowledge through the data mining of company documents, intranets and other records. Good Knowledge Management software will be able to semi-automate this time-consuming but necessary process.

Capture

As the name suggests, this step focuses on the capturing of knowledge that is not documented. It concerns turning the tacit knowledge into explicit, consumable knowledge.

This is arguably the most challenging and time-consuming step of the knowledge management process; knowledge management must capture the knowledge that resides in employees’ brains, which has become second nature to them and therefore difficult to communicate.

There are a number of methods that Knowledge Managers use to capture tacit knowledge including:

  • Observation
  • Interviews
  • Surveys
  • Retrospect (reflection meetings that take place after the completion of a project)
  • Knowledge harvesting (often involving senior employees)

Organise

Once knowledge has been discovered and captured, knowledge management must unpack and process it in a way that makes it consumable for all. This requires deep analysis to see how knowledge can be best organised, displayed and incorporated into the company.

The organisation and accessibility of knowledge is the very essence of knowledge management. Therefore, it is crucial that this step is conducted successfully.

Most businesses use knowledge management software to organise and store their knowledge. Purpose-built systems order and display knowledge effectively to remove the fear, uncertainly and ambiguity surrounding knowledge.

Share

Making the right knowledge available to the right people at the right time is key. Without this step, a company would have masses of vital knowledge intricately stored and organised with no way to access it.

Knowledge sharing pulls all the other knowledge management steps together. It takes all the acquired knowledge and communicates it throughout a company. Some Knowledge Management Software even gamifies aspects of knowledge sharing, allowing employees to submit articles for approval, which if used lets others comment on and interact with.

Knowledge can be delivered via presentations and meetings but the most effective way to share it is through knowledge management software, allowing knowledge to be consistent and available on demand depending on who you are in the company.

Knowledge Management Process Diagram

Conclusion

Mastering knowledge management can be challenging, it’s an elusive discipline that deals with complex knowledge types and intricate processes. But if your company objectives are based around efficiency and wish to encourage a more transparent, collaborative culture then knowledge management is fundamental for you.


If you would like to explore knowledge management further, you can read more here, or

if you’d like to discuss your organisational needs.