Home Product AI Theme Finder
? What's the pattern?

AI groups feedback into themes you can trust

AI Theme Finder reads every feedback item and groups similar requests into themes, with counts and real examples. Product managers merge, split and rename themes, and approve each one before it counts.

Reviewed by peopleevery theme is approved by your team
Counts with proofusers, paying accounts and quotes
Sorted dailynew notes join approved themes
AI Theme Finder4 themes to review
Recurring tasks214
Calendar sync (Google)176
Offline mode on Android121
Dark mode98
"We retype the same standup checklist every Monday."Example 1 of 214 · Recurring tasks
"Monthly repeating tasks for invoicing would save us an hour."Example 2 of 214 · Recurring tasks
Merge Split Rename Approve theme
specimen: AI Theme Finder
? What can it do?

Everything in AI Theme Finder

Theme suggestions

Similar requests are grouped even when users describe them differently, such as "repeat", "every Monday" and "recurring".

Real examples on every theme

Each theme shows the quotes it was built from, so you can check the grouping in seconds.

Merge, split and rename

Combine two themes, split one that is too broad, and rename themes to match your product language.

Daily sorting

New feedback is matched to approved themes every day. Anything that doesn't fit is flagged for review.

Many languages

Feedback in Spanish, German, French, Portuguese, Hindi and more is grouped with English feedback on the same need.

Rising theme alerts

Get a Slack message when a theme grows quickly, such as a spike after a release.

? How does it work?

Four steps, start to finish

Feedback is read

The AI reads the text of each item along with its source and product area.

Themes are suggested

Similar items are grouped, given a draft name and ranked by how many users mention them.

Your team reviews

A product manager checks the examples, then merges, splits, renames or approves.

Themes stay current

Approved themes keep growing as new feedback arrives, with counts updated daily.

? Who uses it, and how?

Field notes by role

Product managers

From 1,200 notes to 4 decisions

  • See the top themes this quarter
  • Read examples before deciding
  • Rename themes in your own words
Product leaders

A shared view of demand

  • Compare themes across products
  • Watch which themes are rising
  • Bring evidence to planning
Customer success

Prove a request is common

  • Show a customer their request is a theme
  • Add context to an existing theme
  • See status without asking
? Can users trust it?

Responsible AI and user trust

These rules apply to every workspace and every plan. They are part of how the product works, not settings you need to find.

Product teams decide

AI groups feedback into themes with examples. Product teams review every theme and make every roadmap decision.

Private voter details

Users can vote and comment publicly or privately. Their emails are never shown publicly.

Consent for recordings

Interview recordings require the user's consent and are visible only to the product team.

Your data, encrypted

Feedback data belongs to your company, is encrypted, and is never sold or used to train models for other customers.

? Questions

AI Theme Finder questions

Does the AI decide our roadmap?
No. The AI suggests themes and shows the evidence. Your product team reviews every theme and makes every roadmap decision.
How accurate is the grouping?
Every theme shows the quotes behind it, so you can see at a glance if something doesn't belong and move it. Your corrections improve future grouping for your workspace only.
Is our feedback used to train AI for others?
No. Your feedback is never used to train models for other customers and is never sold.
Can we use our own tags too?
Yes. Manual tags and AI themes work side by side. You can filter by both in the inbox and in reports.

Our users keep asking for recurring tasks.
Let's find out how many, and ship it.

Open a free notebook, connect one feedback source and see your first themes the same day. Pocket is free for one product board and up to 500 feedback items.

  • Heard every request
  • Found the pattern
  • Let users vote
  • Planned it honestly
  • Told everyone who asked
Mystery solvedrecurring tasks