Providing a smooth, enjoyable Q&A chatbot experience is key to your business success. Deploying an FAQ-based chatbot can not only up to your customer satisfaction levels but also increases your customer base due to higher conversion rates.
Building a chatbot for frequently asked questions (FAQ) helps businesses to engage customers 24×7 by answering their simple queries. It resolves queries in real time that reduces the number of support tickets and increases team productivity.
While creating the chatbot, it should be based on the business requirements. Go through certain steps to make a FAQ chatbot.
The first and foremost step is to outline your business functions that need to be automated. What exactly will your chatbot do? Businesses build chatbots for websites for different purposes. They could be:
The business receives thousands of queries every day. You need to filter the frequently asked questions. Analyzing the common questions asked by customers is a great way to build an effective FAQ chatbot.
Review the common queries and categorize them into different sub-categories like – sales, support, billing, etc. When you make different categories of common queries, it provides clarity in building a robust chatbot that aligns with your customer needs.
Creating a number of options for common queries helps the chatbot to understand the intent of the user better. It trains the bot to identify the user intent and have effective communication with the users.
If you only want your bot to answer questions you auto-populate on your site, then it won’t have to learn as much as it would if you want it to respond to user inquiries akin to a human agent.
You can enhance your bot personality by giving a name and picture that complements your brand message. Customizing the bot adds a humanized touch and makes user interaction comfortable and friendly.
Defining the flow is a vital part of building your FAQ chatbot. Building the conversational flow is an exercise to help you organize your content and start thinking about the best ways to word the bot’s answers.
The dialog flow goes into all the detail required to implememanized with the help of nodes and actions.
Most of the chatbots may not be that effective and customers look for chat support at some point. You can define at what particular stage, your customers can get a chance to connect with the human agent. It will create a balance between the bot and the live agents which can reduce shopping cart abandonment rate.
The other way to do the same is by defining fallback scenarios. It helps to identify the break-up points in the conversation and define an alternate solution that the bot can offer to the users.
While building a FAQ chatbot for your website, it is important to understand the key chatbot metrics and KPIs. They help to know how your bots are performing to achieve your goals.
In order to make your chatbot a successful one, it’s important to define your KPIs and measure them. Based on your business objectives, you can identify how you will be measuring your chatbot analytics.
The key KPIs to measure for FAQ bot are:
Note: You can measure the KPIs weekly or monthly in order to understand the bot performance and where you may need to fine-tune the bot flow to improve your KPI. It helps assess the effectiveness of your chatbot but gains insights into how your customers perceive your bot service. You can understand how far your customers are satisfied after interacting with the bot.
In order to create a FAQ chatbot, you need to follow the below steps.
1. Click on ‘Create New Bot’ under the ‘Bots’ option on the REVE Chat dashboard.
2. The second step is to set the profile of your FAQ bot. It provides you different things to customize the bot profile.
Note: REVE Chat offers four main triggers with sub-options. Based on the trigger you select, the chatbot will initiate a conversation.
3. After saving the bot profile the next step is the ‘Bot Builder’. It is a relatively important step as you define the conversational flow of the bot with different nodes’ actions, sentiments, and fallback options.
The first section is the ‘Path’ which gives a visual flow of the chat. Here you set the fallback options at the identified points, repeated query nodes, and sentiment nodes.
The center section is the ‘Responses’ that helps in setting on the desired answers for the commonly asked queries.
The third part is the ‘Actions’, which are combined in designing the conversational flow for your FAQ bot. You need to choose the required actions that can make your bot flow conversational and productive.
REVE Chat offers a list of actions described below:
4. After designing the bot flow, it is crucial to test the flow. On clicking ‘Test it Out’, a test website opens & the chat banner opens with a trigger message.
5. The next step is the ‘Intent Sample. Here you can create new nodes for creating intent samples.
6. The next step is sentiment analysis. Sentiment analysis helps in developing the bot’s emotional intelligence. Here you can ‘Add the offensive words and emojis’ for your bot to identify the user’s sentiment during the conversation.
7. The next step is setting the ‘Synonyms’.
It allows you to configure synonyms from Bot Builder. If the customer uses jargon in his query, the system will understand all the synonyms of it and can use it to match with the corresponding knowledge base.
8. The next step is setting the ‘Fallback’ options.
Defining the fallback scenarios is an important part of designing chatbots. If your bot is not capable of fulfilling the user requests, it is not an ideal fit for those scenarios.
9. Now in the next step, you have to create FAQs.
Creating FAQs helps your bot to learn about your business. It trains the bot to identify the user intent and have effective communication with the users. Here is how you can create FAQS to enhance the user experience.
10. The final step is training your FAQ bot.
Chatbot training allows users to export bot training data in bulk in excel format. The users can edit the training data in the excel file and import it back in order to update existing bot training data.
And there you are. Your FAQ chatbot is ready to be deployed and manage customer conversations.