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Closing the loop between user questions and documentation

January 7, 2026

HW

Han Wang

Co-Founder

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Closing the loop between user questions and documentation
SUMMARY

Mintlify now identifies documentation gaps based on the questions users ask your docs assistant. In this post, we break down how conversation-driven suggestions work and how they expand the existing pull request–based system to deliver a more complete view of needed updates.

Keeping documentation accurate gets harder as your product moves faster. The signals for docs updates exist, but they're scattered across multiple platforms, and gathering them manually takes time.

Mintlify's agent suggestions help automate those signals by letting you know exactly what changes should be made in your docs.

A few weeks ago we released the ability to monitor pull requests for suggested docs updates, and today we are expanding that system. Your dashboard now highlights suggestions based on real user conversations with your docs assistant.

How it works

Every question asked by users to your docs assistant is an indicator of confusion or missing context. Mintlify analyzes these conversations to identify patterns and suggest updates that address real user needs.

1. Users visit your documentation and use your product

Your documentation is the face of your product. As adoption grows, more users and potential customers will land there to discover what’s possible.

2. Users interact with the docs assistant

When users ask questions to your built-in docs assistant, they reveal exactly where the documentation is unclear. These questions capture intent in a way analytics and support tickets often cannot.

3. Mintlify surfaces suggestions based on these conversations

Your dashboard highlights patterns in the questions your users ask. Instead of reviewing raw logs, you receive focused recommendations such as clarifying a concept, adding an example, or restructuring a section.

4. You improve your docs with targeted updates

With clear suggestions grounded in real usage, your team can update documentation with confidence. As the documentation becomes more accurate and clearer, users find what they need faster, the assistant performs better, and the number and quality of interactions improve.

Get started today

Agent suggestions turn documentation into a living system that reacts to both how your product changes and how users interact with it. Instead of guessing what needs to be updated, you get direct, continuous insight. This makes it easier to keep your documentation aligned with reality and ensures that both humans and AI agents have accurate information when they need it.

Try it out today and let us know what you think.