feedback-prioritizerlisted
Install: claude install-skill varunk130/ai-customer-discovery-skills
# Feedback Prioritizer
Convert a stack of customer feedback (tickets, interview notes, NPS comments, sales loss reasons) into a small ranked list of opportunities, with explicit reasoning for what *not* to act on. The single most important section of the output is "Do Not Act" - vocal-minority signals that look compelling but would distract the roadmap.
## Core Principle
**Most feedback is noise; the prioritizer's job is to find the signal *and* name the noise.** A ranked list without a "Do Not Act" section silently licenses the team to chase the loudest voices.
## Scoring Model: RSCF
Each candidate opportunity is scored 1-5 on four dimensions:
| Letter | Dimension | Question |
|--------|-----------|----------|
| **R** | Reach | What share of paying customers will benefit? |
| **S** | Severity | When the problem hits, how badly does it hurt? |
| **C** | Strategic fit | Does this align with the current strategy or pull us off-mission? |
| **F** | Confidence | How certain are we, given evidence quality and quantity? |
**Score = R × S × C × F / 25** (normalized to 0-25). Confidence acts as a multiplier that crushes weakly-evidenced items.
## Output
Save to `outputs/feedback-priority-[period]-[YYYY-MM-DD].md`
| Section | Description |
|---------|-------------|
| **Top 5 Opportunities** | Ranked by RSCF, with evidence count and source breakdown |
| **Watch List** | Promising but evidence-light items (Confidence ≤ 2) - gather more data |
| **Do Not Act** | Vocal-minority