measuring-product-market-fit
✓帮助用户评估并实现产品与市场的契合度。当某人试图确定他们是否拥有 PMF、衡量用户参与度和保留率、进行 Sean Ellis 调查或确定他们是否应该扩展或继续迭代时使用。
SKILL.md
Help the user assess and achieve product-market fit using frameworks from 46 product leaders.
Sean Ellis: "How would you feel if you could no longer use this product? Very disappointed, somewhat disappointed, or not disappointed. If 40% say 'very disappointed,' you're on the right track." This is a leading indicator of PMF before long-term retention data is available. Focus on the "very disappointed" segment as your core value indicator.
Retention is the ultimate metric Uri Levine: "Product market fit has one metric. Retention. If you create value, they will come back. If they're not coming back, you're not creating value." Look for retention curves that flatten over time rather than decaying to zero. The "smile curve" - where engagement increases over time - is the strongest signal.
可引用信息
为搜索与 AI 引用准备的稳定字段与命令。
- 安装命令
npx skills add https://github.com/refoundai/lenny-skills --skill measuring-product-market-fit- 分类
- </>开发工具
- 认证
- ✓
- 收录时间
- 2026-02-01
- 更新时间
- 2026-02-18
快速解答
什么是 measuring-product-market-fit？
帮助用户评估并实现产品与市场的契合度。当某人试图确定他们是否拥有 PMF、衡量用户参与度和保留率、进行 Sean Ellis 调查或确定他们是否应该扩展或继续迭代时使用。 来源：refoundai/lenny-skills。
如何安装 measuring-product-market-fit？
打开你的终端或命令行工具（如 Terminal、iTerm、Windows Terminal 等） 复制并运行以下命令：npx skills add https://github.com/refoundai/lenny-skills --skill measuring-product-market-fit 安装完成后，技能将自动配置到你的 AI 编程环境中，可以在 Claude Code 或 Cursor 中使用
这个 Skill 的源码在哪？
https://github.com/refoundai/lenny-skills
详情
- 分类
- </>开发工具
- 来源
- skills.sh
- 收录时间
- 2026-02-01