ExploreUse cases
Customer feedback

Customer feedback that informs decisions

Collect and organize customer feedback in one place, then let AI surface themes and connect it to the product decisions it should inform.

Feedback in one place
AI surfaces themes
Connected to decisions

Collect

Gather feedback as a database.

Themes

Let AI surface common themes.

Connected

Tie feedback to product work.

Trends

See what’s coming up most.

What you can do with Wyatt

Collect

Gather feedback as a database.

Themes

Let AI surface common themes.

Connected

Tie feedback to product work.

Trends

See what’s coming up most.

One home for feedback

Collect customer feedback as a flexible database, so input from many sources lives in one place instead of scattered across tools.

Find the themes

Ask the assistant to surface common themes and summarize what customers are asking for, turning raw feedback into insight.

Connect to decisions

Link feedback to the specs and roadmap items it informs, so product decisions are grounded in what users actually said.

Close the loop

Because feedback connects to the work, it’s easy to see what was acted on and follow up.

Frequently asked questions

How do I collect feedback?

As a flexible database, so input from many sources lives in one place.

Can AI find themes?

Yes. The assistant can surface common themes and summarize requests.

Can I connect feedback to product work?

Yes. Link feedback to the specs and roadmap items it informs.

Can I close the loop?

Yes. Feedback connects to the work so you can see what was acted on.

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