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18. Set clear expectations about what the chatbot can do

Most chatbots start by way of introduction – the chatbot can do specifically, what they can do for the end-user.

Clear expectations means less frustration. “Hi there, I’m Chatty and I can help you with your most recent order.” Simple as that.

19. Tell your users you have a chatbot

While it might seem obvious, your users will only use your bot if you make it known.

Publicizing a chatbot is part of improving its ROI. If no one phone number library uses it, it’s a waste of money. Announce it like you would any big software the chatbot can do project launch.

20. Avoid long paragraphs

Everyone hates reading long paragraphs, including your end user.

Space out information to make it more accessible and easier to understand.

21. Use buttons and quick replies to reduce friction

If you’ve used a business chatbot, you’ve probably been presented with a selection of buttons.

They’re not just for looks — buttons and quick remote work: benefits and practices for this management replies guide the user toward the next step without needing them to type. This reduces drop-off and keeps conversations structured.

They’re especially useful for confirming or rejecting an action, or helping users choose between a few common intents.

22. Space out your questions — don’t overwhelm the user

No one likes being asked 5 questions in a row.

It’s better to break up inputs and give users a chance to respond to each one. That way, you reduce cognitive load and improve response accuracy.

23. Fund it like a real product, not a side project

A cheap chatbot isn’t going to give very high ROI.

Budget for what you’d budget for any other product: the chatbot can do time for planning, integration work, a strong backend, user testing, and post-launch updates.

That means real dev hours, not one intern and a Zapier workflow. If you want real results, invest accordingly.

24. Involve multiple departments in chatbot planning and updates

A chatbot isn’t just a dev tool. It’s also not just a business solution.

This is a hard part of implementing a chatbot, but input from a variety of departments (should your organization have multiple departments) will be needed.

Some types of information you might need from different functions include:

  • Support: Common user questions, tone of voice, escalation paths
  • Product: Feature specs, release updates, technical details
  • Marketing: Branding, messaging, approved language
  • IT or Engineering: Integration points, data access, API support
  • Legal or Compliance: Data privacy requirements, disclaimers
  • HR (for internal bots): Policy details, process documentation
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