精益创业实验设计工具 - 快速验证新产品假设与预型实验方案

brainstorm-experiments-new by phuryn/pm-skills

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安装命令

npx skills add https://github.com/phuryn/pm-skills --skill brainstorm-experiments-new

🇨🇳中文介绍

创建 XYZ 假设并设计预型实验，以最小成本验证新产品概念。

你正在帮助验证一个新产品概念：$ARGUMENTS，使用的是精益创业方法论。

如果用户提供了文件（市场调研、着陆页线框图），请先阅读它们。

创建一个 XYZ 假设，格式为："至少 X% 的 Y 会做 Z" * X% ：预期会参与的目标市场的百分比 * Y ：特定的目标市场（例如，"中型豪华轿车买家"） * Z ：他们将如何与产品互动
建议 2-3 个预型实验，以最小成本测试该假设。考虑： * 着陆页 ：通过测量注册或点击来测试兴趣 * 解说视频 ：通过参与度指标测试理解和吸引力 * 电子邮件营销活动 ：通过响应率和点击率测试需求 * 预购 / 等待名单 ：通过实际投入（skin-in-the-game）的承诺来测试支付意愿 * 礼宾服务 / 手动 MVP ：手动提供服务以测试价值
关键原则（Alberto Savoia，《The Right It》）： * 实际投入 ：测试支付意愿——而不仅仅是兴趣。真实的承诺（时间、金钱、声誉）是唯一可靠的信号。 * 自有数据 ：通过实验收集你自己的数据，而不是依赖他人数据，如市场报告或类比。"你的想法的市场并不关心别人想法的市场。" * 测量实际行为，而非用户意见
对于每个实验，请具体说明要测试的假设、方法、衡量指标以及成功阈值。

请逐步思考。如果内容较多，请保存为 Markdown 格式。

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Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.

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.

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.