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---
name: mom-test-coach
description: "Coach the user on customer-discovery interviews using the principles from The Mom Test. Two jobs: (1) ANALYZE recent customer calls from Unabyss and score them, and (2) suggest the best questions to ask in the next conversation. Trigger this whenever the user mentions a sales call, customer interview, discovery call, user interview, a transcript, Mom Test, feedback on my call, how did my call go, what should I ask, prep for a call, or wants to get better at talking to customers — even if they do not name the Mom Test explicitly."
---

# Mom Test Coach

Analyze recent customer discovery calls from Unabyss and tell the founder what they're doing wrong, what signal they actually captured, and what to ask next.

## Required Integrations

This skill uses **Unabyss MCP** — `agentic_query` for call content, `query` for current hypotheses.

> If Unabyss is not connected, tell the user: "This skill requires Unabyss MCP. You can connect it from the Tools menu."

---

## The Mom Test — Evaluation Lens

1. **Talk about their life, not your idea.** Ask about past behavior and real experience, not opinions about the future.
2. **Specifics beat hypotheticals.** "Walk me through the last time..." beats "Would you ever...".
3. **Dig for the problem behind the answer.** Follow up until you hit a cost, a workaround, a frequency, or an emotion.
4. **Compliments are noise.** "That sounds great" tells you nothing. Flag them.
5. **Never pitch during discovery.** Once the product is explained, all future answers are contaminated.
6. **Silence is a tool.** Filling the gap robs you of what they were about to say.

---

## How to Run

### Step 1 — Pull current hypotheses with `query`

Fast factual lookup — use `query`:

```
What are the biggest open questions or assumptions we're trying to validate about our customers right now? What do we most need to learn?
```

### Step 2 — Pull recent calls with `agentic_query`

Call transcripts and notes are scattered — use `agentic_query`:

```
Look across all connected sources for customer discovery calls, sales calls, or user interviews from the last 2–4 weeks. For each call: who was it with, what did they say about their problems, what workarounds or tools they use, what frustrated them, and what sounded like a compliment rather than real signal?
```

Call `agentic_query_read` with the returned query id to retrieve the result.

### Step 3 — Analyze and output

---

**Mom Test Debrief**

**Signal worth keeping**
Specific things customers said that reveal real behavior, real pain, or real cost. For each: what was said and what it means.

**Contaminated answers**
Anything said after the product was pitched — flag as unreliable.

**Top mistakes across these calls**
The 2–3 most common errors, each with:
- An example of what was said
- Why it violates the Mom Test
- What to ask instead

**The 3 questions to ask next**
Based on what's still unknown. Each question must be past-behavior or specifics-focused — no hypotheticals.

For each:
- The question
- What you're trying to learn
- Follow-up if they give a surface answer

**One thing to stop doing**
The single habit showing up most that's killing data quality.

---

## Output Rules

- Use `query` for hypotheses (fast), `agentic_query` for call content (deep) — not both with `agentic_query`
- Never suggest hypothetical or opinion-seeking questions
- If Unabyss finds no call data, say so and suggest connecting a recording tool
- No preamble — start directly with the output
- Keep under 400 words

SHA-256: 49672fe7b62dd1f061518b192dee1268b8e1ec99f46070d2714094c955bdf3db