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Analyze product feedback across tools

Turn Slack threads, survey exports, and issue queues into clear themes and follow-ups.

Difficulty Easy
Time horizon 30m

Give ChatGPT Work feedback from Slack, surveys, issue trackers, support, or research notes. It can group repeated problems into a reviewable Sheet or Doc with evidence, design implications, open questions, and clear follow-ups.

Best for

  • Teams reviewing feedback across Slack, surveys, issues, support, and research.
  • Product decisions that need clear themes, supporting evidence, and follow-ups.

Contents

    ← All use cases

    Analyze product feedback across tools

    Turn Slack threads, survey exports, and issue queues into clear themes and follow-ups.

    Give ChatGPT Work feedback from Slack, surveys, issue trackers, support, or research notes. It can group repeated problems into a reviewable Sheet or Doc with evidence, design implications, open questions, and clear follow-ups.

    Easy
    30m

    Give ChatGPT Work feedback from Slack, surveys, issue trackers, support, or research notes. It can group repeated problems into a reviewable Sheet or Doc with evidence, design implications, open questions, and clear follow-ups.

    Easy
    30m

    Related links

    Plugins Scheduled tasks

    Best for

    • Teams reviewing feedback across Slack, surveys, issues, support, and research.
    • Product decisions that need clear themes, supporting evidence, and follow-ups.

    Skills & Plugins

    • Slack
      Read approved feedback channels or thread links.
    • GitHub
      Read issues, PR comments, and discussion threads.
    • Linear
      Read bug or feature queues.
    • Google Drive
      Read feedback docs, exports, and folders, then create a Google Doc or Sheet.
    Skill Why use it
    Slack Read approved feedback channels or thread links.
    GitHub Read issues, PR comments, and discussion threads.
    Linear Read bug or feature queues.
    Google Drive Read feedback docs, exports, and folders, then create a Google Doc or Sheet.

    Starter prompt

    Analyze feedback on [feature or product area] from [time period] using @Slack, @GitHub, @Linear, and @Google Drive. Include any relevant support tickets, surveys, and research notes. Group the feedback into clear themes, show the supporting evidence, and tell me what needs attention. Put the findings in a Google Sheet or Doc I can review. Draft any follow-ups, but don't post or send them.
    Analyze feedback on [feature or product area] from [time period] using @Slack, @GitHub, @Linear, and @Google Drive. Include any relevant support tickets, surveys, and research notes. Group the feedback into clear themes, show the supporting evidence, and tell me what needs attention. Put the findings in a Google Sheet or Doc I can review. Draft any follow-ups, but don't post or send them.

    Before you start

    Product feedback might live in Slack, survey exports, issue trackers, support records, or research notes. Give ChatGPT Work the sources, product area, and date range to review. It can group repeated problems into a Sheet or Doc the team can check before deciding what to do next.

    Start this workflow in Work on the web or desktop with connected apps and cloud files. Attach a local export first, or use the desktop app, when the source lives on your computer.

    What to expect

    Here is an example using a survey export, support records, a feedback thread, and research notes for a request-review queue. The first pass groups the repeated problems; the follow-up splits a broad theme into two clearer decisions.

    ChatGPT Work

    The first pass found three repeated problems across a survey, support records, a feedback thread, and research notes:

    • Conflicts are hidden in the queue: eight mentions across four sources. Show conflict status in the list and distinguish Ready from Needs attention.
    • Bulk approval can include blocked requests: four mentions across four sources. Skip blocked requests by default or warn before approval.
    • Reviewers lose their place and can’t isolate work: ten mentions across four sources. Preserve search and filters and offer a Needs attention view.

    After a follow-up to separate the last theme, the table distinguishes search and filters resetting on return from blocked and unreviewed work being hard to isolate. The table keeps the affected users, evidence IDs, confidence, design implications, open questions, and follow-ups with each theme. The counts are repeated mentions in a small sample, not product-wide incidence rates.

    How it works

    1. Give Work the feedback sources, product area, and time period to review.
    2. Ask it to group repeated feedback into themes and keep supporting links or IDs with each theme.
    3. Create a Google Sheet or Doc with affected users, confidence, open questions, and the decision or follow-up needed.
    4. Review the summary before turning any theme into a Slack update or issue draft.

    Use the starter prompt on this page for the first pass, then refine any theme that is too broad, missing evidence, or mixing separate problems.

    Turn a reviewed theme into the next draft

    Once the summary exists, ask Work to split a broad theme, add missing evidence, draft a Slack update, or turn a reviewed theme into an issue draft. Name the audience and decision so the next step is clear.

    Use the feedback summary to draft a short update for [team or channel]. Include the main themes, the evidence, and what we should do next. Don't post it.

    Keep a feedback channel current

    For a Slack channel or issue queue that keeps getting new reports, ask Work to check it on a schedule. Keep the same review boundaries so new feedback does not become an unapproved post, issue, or assignment.

    Check [feedback channel, issue tracker, or survey] every weekday. Tell me when a new theme appears, an existing issue gets worse, or we need to make a decision. Keep the feedback summary up to date, but don't post or send anything.

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