Product Feedback Synthesiser

Skill v1.0.0

Product Feedback Synthesiser

Product Workflow
ChatGPTClaudeSheetsπŸ”Œ MCP-ready
Health 80/100 β–² 0 πŸ“‹ 0 copies

Trigger Phrase

Use the Product Feedback Synthesiser skill

Prompt

255 words
# SKILL: Product Feedback Synthesiser

## Purpose
Cluster messy product feedback into themes, evidence, customer segments, severity, and roadmap implications.

## When to Use
Use this when the user needs to: Cluster messy product feedback into themes, evidence, customer segments, severity, and roadmap implications. It is designed for repeatable agent or automation work, not one-off fluffy prompting.

## Inputs Required
- Feedback dataset
- Product area
- User segment field
- Time period
- Decision needed

## Workflow
1. Deduplicate similar feedback
2. Cluster by customer need rather than wording
3. Estimate severity and reach from evidence
4. Separate bugs, requests, confusion, and praise
5. Recommend next research or roadmap action

## Output Format
Feedback synthesis table with themes, evidence, impact, confidence, and next action.

## Quality Rules
- Ground every claim in supplied inputs or clearly mark it as an assumption.
- Prefer specific fields, examples, and decision points over generic advice.
- Include a test command and pass criteria so the skill can be evaluated.
- Keep the output usable by a human first and automation-ready second.

## Guardrails
- Do not send emails, publish posts, contact leads, change calendars, spend money, delete data, or alter production systems without explicit human approval.
- Do not invent facts, private details, legal claims, prices, or external data.
- For web or profile research, use current sources and separate evidence from inference.
- For connected tools, use the minimum permission needed and log the action taken.

## Test Command
Run this skill on a simple example for Product Feedback Synthesiser and return the expected output structure plus any missing inputs.

Before & After

❌ Without this prompt

Make me an automation for product feedback synthesiser.

βœ… With this prompt

Use the Product Feedback Synthesiser skill. Inputs: goal, systems, data fields, approval owner, and definition of done. Return the workflow, tests, guardrails, and approval checkpoint.

Install Instructions

Copy the body into Prompt Hub as a skill. For Agent Skills, save as SKILL.md or paste into the target agent/project. For n8n/Make/Voiceflow, use this as the build blueprint before importing any third-party JSON.

Test It

Test command:
Run Product Feedback Synthesiser with a tiny dummy case and verify it returns the declared output format, missing-input warnings, guardrails, and pass criteria.
Expected output:
Feedback synthesis table with themes, evidence, impact, confidence, and next action.
Pass criteria:
  • Passes when the output is specific, complete, safe, testable, approval-aware where needed, and immediately usable with light editing.

⚠️ Guardrails

  • Human approval is required before external sends, publishing, destructive changes, spending money, calendar booking, CRM updates that change customer status, or production system changes. Use least-privilege tool access.

πŸ“ Context File Tip

Source context: Sabrina Ramonov describes agents.sabrina.dev as a free library of AI agents and automations, including n8n and Make templates. Related source: https://agentskills.io/home. Agent-skill structure context: https://agentskills.io/home. Security context: https://arxiv.org/abs/2510.26328.

⚑ Automation

ChatGPT|Claude|Sheets

πŸ”Œ MCP-compatible
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