How to Plan a Customer Service Chatbot

1. Review the questions customers already ask

Start with recurring questions from your support process, removing personal details before using examples. Group them by purpose: finding information, understanding a policy, making an enquiry or resolving an individual problem. The last category may require a person or an authenticated system rather than a public chatbot.

2. Choose the information the chatbot can rely on

Create a short list of approved pages or documents and assign an owner to each. Check whether prices, dates, availability and policies are current. Decide what happens when two sources conflict or no answer is available. A small, maintained knowledge set is more useful than a large collection with no clear authority.

3. Define escalation before the happy path

Write down which requests must reach staff: complaints, sensitive information, exceptions and questions the chatbot cannot answer confidently. Show the visitor what to do next and set an honest expectation about staff response. Avoid implying that human help is available continuously just because a widget is online.

4. Test meaningful examples

• A common question with a known approved answer.
• The same question phrased differently.
• A question with missing context.
• A request outside the agreed scope.
• A visitor who wants a person immediately.
• An unavailable integration or failed submission.

5. Review outcomes after launch

Look at whether visitors found the right information and whether enquiries reached the correct team. Review recurring unanswered questions before expanding the scope. Keep any claims about time saved or improved conversion tied to a defined baseline and measurement period.

• Explore customer service chatbots
• Read the privacy checklist