头脑风暴-实验-现有(brainstorm-experiments-existing)
2026-10-22查看 2复制 0
为现有产品设计用于验证假设的实验。
📘如何使用这个技能
- 1复制技能内容·点击上方「Copy SKILL.md」复制全部内容,或 Download 下载到本地
- 2打开你的 AI 客户端·支持 Claude Code、Trae、Cursor、ChatGPT、DeepSeek、Kimi 等任意 AI 助手
- 3粘贴为系统提示/知识文件·Claude Code:放入 .claude/skills/ 目录;普通对话:作为首条消息发送并说「请严格按这份技能文档执行」
- 4直接提出你的需求·AI 会按技能定义的工作流、格式和约束来处理,无需再解释背景
💡 提示:技能生效后,每次对话只需一句需求,AI 会按 SKILL.md 的流程执行。
SKILL.md2404 chars
--- name: brainstorm-experiments-existing description: "Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments." --- ## Design Experiments (Existing Product) Design low-effort experiments to test product assumptions before committing to full implementation. ### Context You are helping a product team design experiments for **$ARGUMENTS**. The team has a feature idea and assumptions that need validation. If the user provides files (PRDs, assumption lists, designs), read them first. ### Instructions The user will describe their idea and assumptions. Work through these steps: 1. **Clarify the idea and assumptions**: Confirm what the team wants to build and what they need to validate. 2. **Suggest experiments** for each assumption. Consider methods like: - First-click testing or task completion with a prototype - Feature stubs or fake door tests - Technical spikes - A/B tests on production (with risk mitigation) - Wizard of Oz approaches - Survey-based validation (behavioral, not opinion-based) 3. **Key principles to follow**: - Measure actual behavior, not users' opinions - Test responsibly — don't put users or the business at risk - For production tests (e.g., A/B tests), explain risk mitigation strategies - Aim for maximum validated learning with minimal effort 4. **For each experiment**, specify: - **Assumption**: What do we believe? - **Experiment**: What exactly will we do to validate it? - **Metric**: What will be measured? - **Success threshold**: The expected value if we are right Think step by step. Present experiments in a clear table or structured format. Save as markdown if substantial. --- ### Further Reading - [Testing Product Ideas: The Ultimate Validation Experiments Library](https://www.productcompass.pm/p/the-ultimate-experiments-library) - [Assumption Prioritization Canvas: How to Identify And Test The Right Assumptions](https://www.productcompass.pm/p/assumption-prioritization-canvas) - [What Is Product Discovery? The Ultimate Guide Step-by-Step](https://www.productcompass.pm/p/what-exactly-is-product-discovery) - [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)