Use case · Customer feedback

The feedback your survey never gets.

Customers tell communities and app store reviews things they'd never put in a form. BuzzGlean finds feature requests, workarounds and frustrations about your product and your category, and sends them to the people who build it.

Watching forExample

Feature requests and workarounds

YourAppwishworkaround

Users of our app describing a missing feature, a workaround they built, or a bug they hit.

  • r/productivityMatch

    Love YourApp but I export to a spreadsheet every Friday just to see totals.

    Why: Workaround for a missing reporting feature

  • Freelance Designers CollectiveMatch

    Wish YourApp had client approvals built in.

    Why: Feature request

  • Google PlayMatch

    3 stars. The widget stopped syncing after the last update.

    Why: Bug report in an app review

Surveys ask your questions. Communities answer theirs.

The most useful feedback is unprompted: people explaining a workaround to a peer, or venting about a gap. It's honest because it wasn't written for you.

  • Scattered

    Feedback lives in dozens of threads you'll never find by searching.

  • Unlabelled

    Nobody tags a post “feature request”. You have to read it to know.

  • Category-wide

    Pain points about the whole category are as valuable as those about you.

What you get

  • Reviews included

    Add your App Store, Google Play, G2 or Capterra pages next to the communities your users are in.

  • Separate rules per signal

    One for feature requests, one for bugs, one for category pain points.

  • Straight to product

    Send matches to a #feedback channel or into your tools via webhook.

  • Exact quotes

    Every match links to the original post, ready to paste into a spec.

Frequently asked questions

Can I send feedback to Linear, Jira or Notion?
Use a webhook channel to forward matches to your own automation (Zapier, Make, n8n or your own code), or pull them through the API.
What if people don't mention us by name?
Write a rule about the problem, not the brand, like “people struggling to share files with clients”. The AI matches the description.

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