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brainstorm-experiments-new
GitHub基于精益创业方法论，为新产品设计低成本的验证实验（Pretotypes），包括构建XYZ假设及推荐落地页、视频等验证手段，以最小化风险测试市场需求。
Trigger Scenarios
验证新产品想法
创建原型测试
测试市场需求
Install
npx skills add phuryn/pm-skills --skill brainstorm-experiments-new -g -y
SKILL.md
Frontmatter
{
"name": "brainstorm-experiments-new",
"description": "Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand."
}
Design Lean Startup Experiments (New Product)
Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.
Context
You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.
If the user provides files (market research, landing page mockups), read them first.
Instructions
-
Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"
- X%: The percentage of the target market expected to engage
- Y: The specific target market (e.g., "mid-size luxury sedan buyers")
- Z: How they will engage with the product
-
Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:
- Landing Page: Test interest by measuring sign-ups or clicks
- Explainer Video: Test understanding and appeal through engagement metrics
- Email Campaign: Test demand through response and click-through rates
- Pre-Order / Waitlist: Test willingness to pay through skin-in-the-game commitment
- Concierge / Manual MVP: Deliver the service manually to test value
-
Key principles (Alberto Savoia, The Right It):
- Skin-in-the-Game: Test willingness to pay — not just interest. Real commitment (time, money, reputation) is the only reliable signal.
- Your Own Data (YODA): Collect your own data through experiments rather than relying on Others' Data (ODP) like market reports or analogies. "The market for your idea does not care about the market for someone else's idea."
- Measure actual behavior, not users' opinions
-
For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.
Think step by step. Save as markdown if substantial.
Further Reading
Version History
- 18468a9 Current 2026-07-25 10:32
