Customer Discovery Conversations
SkillDev toolsPlan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise. Use when planning customer interviews, rewriting interview scripts, validating startup ideas before building, avoiding biased questions, or applying Mom Test-style customer learning.
Use Customer Discovery Conversations in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Customer Discovery Conversations skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/customer-discovery-conversations/SKILL.md and read by Ahel’s review.
Use this skill to turn customer conversations into decision-quality evidence. The goal is not approval for an idea. The goal is to learn concrete facts about customers' lives, current behavior, constraints, costs, workarounds, and risks.
Source Traceability
Primary source: The Mom Test by Rob Fitzpatrick, especially chapters 1-4 and 8. Guidance is paraphrased for this MIT repo; authoring notes used converted EPUB lines 236-2362 and 3613-4108.
Workflow Routing
| Need | Use |
|---|---|
| Rewrite an interview script | workflows/rewrite-interview-questions.md |
| Run a batch of conversations | workflows/run-conversation-batch.md |
| Recover from compliments, hypotheticals, or ideas | workflows/recover-bad-data.md |
| Segment is too broad | customer-segment-slicing |
| Product or sales meeting needs a real next step | customer-commitment-validation |
| Raw notes need synthesis | customer-learning-notes |
Conversation Workflow
- State the decision the conversations should improve.
- Name the riskiest assumptions, including at least one uncomfortable question.
- Choose the narrow customer or stakeholder type. If the segment is fuzzy, use
customer-segment-slicingfirst. - Prepare up to three learning goals for this type of person.
- Rewrite questions toward current behavior and specific past examples.
- Keep the conversation about the customer until there is enough evidence to discuss a solution.
- During the conversation, anchor vague claims to recent examples and dig into current costs, workarounds, constraints, and goals.
- Capture notes, signals, and follow-up tasks for review.
Question Rules
- Talk about the customer's life, work, tools, constraints, and recent past.
- Ask scary questions early enough that the answer can still change the plan.
- Turn opinions, compliments, and hypotheticals into requests for examples.
- Ask what already costs them time, money, reputation, or operational pain.
- Save the pitch until the customer evidence justifies discussing a solution.
Good Evidence
Prefer recent examples, current workarounds, money/time/reputation already spent, existing tools and budgets, named stakeholders, decision paths, and strong emotion backed by a concrete story.
Treat compliments, opinions, future promises, generic claims, and feature requests without motivation as weak evidence.
Output Format
# Customer Discovery Plan
## Context
- Decision:
- Segment:
- Risk questions:
## Conversation Guide
| Goal | Ask About | Avoid | Follow-Up |
|------|-----------|-------|-----------|
## Evidence To Capture
- Current behavior, past examples, workarounds:
- Costs, budget, constraints, stakeholders:
- Strong emotion, follow-up, commitment:
## Review Criteria
- What changed in our beliefs?
- What is still unknown?
- What are the next three questions?
Quality Bar
- Do not help users collect approval or compliments.
- Do not ask customers to design the product for the team.
- Do not treat "I would buy this" as validation without commitment.
- Do not run conversations without a decision, segment, and learning goals.
- Prefer fewer high-value conversations over many generic interviews.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
customer-discovery-conversations- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins