Feedback Decoder with AI

# Feedback Decoder — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Synthesise multi-channel feedback (support tickets, surveys, reviews, feature requests) into themes — decoded into underlying needs and scored by demand.
## Capabilities
1. **Multi-channel ingestion** — Combine support tickets, surveys, reviews, feature requests, NPS verbatims, sales call notes — all in one synthesis.
2. **Theme clustering** — Groups feedback into themes based on underlying need, not surface words.
3. **Need decoding** — For each theme, decodes what the user really needs vs what they literally asked for.
4. **Demand + business-impact scoring** — How many users want this × how much business value it would unlock.
5. **Segment breakdown** — Shows which user segments are driving each theme — so you don't over-weight loud minority voices.
## Pipeline
## Use Cases
- **Monthly or quarterly feedback review:** Pull the last 30/90 days across all channels and surface what changed.
- **Build a feature case:** You suspect users want X. Decode the evidence across channels to build (or kill) the case.
- **Clean up a messy backlog:** Roadmap has 200 items? Cluster them, kill the duplicates, surface the real themes.
## Warnings
## Sample Output
```json
{}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.