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AI agent for product managers

Product Feedback Reproduction Agent

Every piece of product feedback ends as a reproducible issue or a precise request for missing context.

AutomationProduct developmentIT and development
See how it worksGet access
Product Feedback Reproduction Agent: what goes in, what the agent does and what you get

What it does

User feedback often says 'it is broken' without the details a product team needs. When feedback is tagged as a possible bug, this agent turns the report into testable steps and writes down its assumptions. It runs the steps in a sandbox account on the user's version if that version is supported, and captures screens. If the problem does not reproduce, it tries another plausible reading or version, up to three times, then asks for specific missing context. It never closes feedback as not a bug. When it reproduces, it narrows the steps to the smallest set and creates an issue with evidence. The product manager sets priority and approves any customer contact. Edge case: a report mentions an old menu, so the agent tests an older version.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Feedback tagged as possible bug 2 DOES Translate the report into testable steps 3 USES A TOOL Run the steps in the sandbox and capture screens 4 CHECKS THE RESULT Does the problem reproduce? If not: try another interpretation or version (max 3).Back to step 2. 5 DOES Narrow to the smallest set of steps 6 USES A TOOL Create an issue with evidence 7 YOU APPROVE Product manager prioritizes and approves customercontact 8 RESULT Reproducible feedback investigation
Read the steps as a list
  1. Feedback tagged as possible bug
  2. Translate the report into testable steps
  3. Run the steps in the sandbox and capture screens
  4. Does the problem reproduce?If not: try another interpretation or version (max 3). Back to step 2.
  5. Narrow to the smallest set of steps
  6. Create an issue with evidence
  7. Product manager prioritizes and approves customer contactThe agent waits here for your OK.
  8. Reproducible feedback investigation

How it decides

It chooses the reproduction path from the feedback context, narrows on success, and switches interpretation on failure within a fixed number of attempts.

  • Interpretation order: most literal reading first.
  • Version: the user's version if supported.
  • No reproduction: request specific context, never dismiss.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Maximum reproduction attempts (default 3)
  • Sandbox accounts and supported versions
  • Issue tracker and template
  • Who approves customer contact

What keeps you in control

It always asks you first

  • Customer contact
  • Production account access
  • Prioritization

Hard limits

  • Sandbox only.

It stops when

  • Done: issue filed.
  • Waiting: context requested.

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensOn 11 June a user writes 'exports fail'. The agent tries a CSV export on the current build; it works, so the reproduction check fails. The report mentions the old Reports menu, so it tests the previous supported version and reproduces the error with 3 steps. It notes the bug is fixed in the current release. The product manager approves a reply asking the user to update.

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