技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
customer-discovery【数据与研究】Use when the user says "run customer discovery", "help me interview customers", "write customer interview questions", "validate my assumption", "talk to users", "synthesize customer interviews", "what are my customers saying", "user research for my startup", "mom test interview", "are we solving a real problem", or wants to extract real insight from …
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Based on "The Mom Test" by Rob Fitzpatrick. The core principle: most customer conversations are worthless because founders ask questions that invite polite lies. The Mom Test fixes this by shifting from opinion-seeking ("would you use this?") to behavior-seeking ("how do you currently handle this?"). Every question must pass the test: would your mom give you an honest answer even if she wanted to protect your feelings?
Before writing a single question, state the riskiest belief your business depends on.
Format:
Do not run the interview until the assumption is written down. The interview exists to pressure-test this specific thing.
Rule 1: Ask about their life, not your idea. Rule 2: Ask about specifics in the past, not generalities or futures. Rule 3: Talk less. Listen more.
Core questions to use:
Questions to cut entirely:
Structure:
Take verbatim notes. Do not paraphrase in real time - you lose signal when you summarize. After each answer, ask one of: "Tell me more about that." / "What happened next?" / "Why?" Do not advance to the next question until the current thread is exhausted.
Capture immediately after:
Keep each interview raw. Do not aggregate across interviews yet.
After enough sessions, look for:
Update your original assumption: confirmed, denied, or did a more important problem surface?
One page. No decks.
Sections:
1. Compliment collection Bad: "Everyone I talked to loved the idea." Good: "Three of five people described spending 4+ hours a week on this manually. Two had already paid for a tool that failed them."
2. Future-tense answers treated as data Bad: Recording "they said they would definitely pay for this." Good: Asking "have you paid for anything like this before? What happened?" and recording what they actually did.
3. Pitching during discovery Bad: Describing [your product] mid-interview because you sense interest. Good: Staying in question mode for the entire session. Save the pitch for a separate conversation.
4. Averaging across interviews too early Bad: Running 2 interviews, declaring the assumption validated, and building. Good: Running at least 5-7 interviews before drawing patterns. Outlier responses often contain the real signal.