# Pol Probe Advisor

> Guide PMs through running and interpreting a Sean Ellis PMF survey — from survey distribution to segmented analysis and action planning based on results.

- Skill: `nandanosql/pol-probe-advisor` (Agent Skill)
- Install (CLI): `npx skillmds@latest add nandanosql/pol-probe-advisor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nandanosql/pol-probe-advisor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: nandanosql (https://skillmd.com/u/nandanosql)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/nandanosql/pol-probe-advisor

---


## Purpose

Guide PMs through running and interpreting a PMF survey — from **distribution strategy to segmented analysis and action planning** based on the Sean Ellis "very disappointed" score.

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## Application

### Turn 1: Survey Setup

**Agent asks:** "Have you run the survey yet, or are you planning to?"

If planning → Guide setup (sample, distribution, timing)
If results ready → Skip to analysis

### Turn 2: Results Input

**Agent asks:** "What were your results?"
- Sample size
- "Very disappointed" %
- "Somewhat disappointed" %
- "Not disappointed" %
- Open-text themes

### Turn 3: Interpretation

```markdown
## PMF Score: [X%] "Very Disappointed"

### Interpretation
- **≥40%:** 🟢 Strong PMF — Focus on scaling
- **25-40%:** 🟡 Getting there — Focus on improving core experience
- **<25%:** 🔴 Not yet — Focus on discovery, not growth

### Segment Analysis
**Who are the "Very Disappointed" users?**
- [Common traits: role, company size, use case]
- [What they value most (from Q2)]

**Who are the "Not Disappointed" users?**
- [Common traits — these are NOT your ICP]
- [Why they don't care]
```

### Turn 4: Action Plan

```markdown
## Recommended Actions

### If 🟢 Strong PMF (>40%)
1. Double down on your ICP (the "Very Disappointed" segment)
2. Invest in acquisition channels that reach this segment
3. Build features that deepen value for this segment

### If 🟡 Getting There (25-40%)
1. Interview "Somewhat Disappointed" users — what's missing?
2. Narrow your positioning to the "Very Disappointed" segment
3. Build the features that would make "Somewhat" → "Very"

### If 🔴 Not Yet (<25%)
1. Interview "Very Disappointed" users — understand their use case deeply
2. Pivot positioning to match their needs
3. Do NOT invest in growth — invest in discovery
```

---

## References

### Related Skills
- `skills/growth/pol-probe/SKILL.md` — Survey template
- `skills/growth/retention-deep-dive/SKILL.md` — Retention by PMF segment
- `skills/strategy/positioning-statement/SKILL.md` — Reposition based on PMF

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**Skill type:** Interactive
**Domain:** Growth & Optimization