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Turn Feedback into Feature Requests with AI

A repeatable workflow to turn feedback into feature requests using AI, with review steps and reusable templates.

What This Workflow Does

This workflow gives you a practical path from raw feedback to a usable feature requests. It separates preparation, drafting, review, and revision so the result is easier to trust.

Best For

  • solo founders
  • small business owners

Before You Start

  • Gather the source feedback in one place.
  • Remove private details that the AI does not need.
  • Decide what a useful final output should help you do.

Step-by-Step Workflow

  1. Prepare inputs and label the source material clearly.
  2. Ask AI to structure the task before drafting.
  3. Generate the first output in the requested format.
  4. Review the output against the quality checklist.
  5. Improve the weak sections with targeted follow-up prompts.
  6. Export, send, publish, or save the final version.

Copy This Workflow

Copy This Workflow
I want to turn feedback into feature requests.

First, review the source material and identify the important facts, missing context, and likely audience needs. Then create the output in a practical structure I can use.

Do not invent facts. If something is missing, mark it as an assumption or question. After the draft, include a short checklist for improving the result.

Input Template

Input Template
Source feedback: [paste here]
Audience: [who will use or read the output]
Goal: [what the feature requests should accomplish]
Tone: [plain, persuasive, warm, academic, concise]
Required sections: [list sections]
Constraints: [length, channel, format, deadline]
Must avoid: [claims, style, details, risks]

Output Format

Output Format
1. Key source facts
2. Draft feature requests
3. Gaps or assumptions
4. Quality checklist
5. Recommended next action

Example

Example
Example input: Rough feedback with a clear audience and goal.

Example output: A usable feature requests organized into sections, with the important details retained and weak spots flagged for review.

Quality Checklist

Quality Checklist
  • The final output keeps the source facts accurate.
  • The structure matches the real use case.
  • The next action is obvious.
  • The tone fits the audience.
  • Uncertain details are labeled instead of invented.

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