brainstorm-experiments-existing
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Translation
ChineseDesign Experiments (Existing Product)
为现有产品设计实验
Design low-effort experiments to test product assumptions before committing to full implementation.
设计低投入的实验,在全面落地前验证产品假设。
Context
背景
You are helping a product team design experiments for $ARGUMENTS. The team has a feature idea and assumptions that need validation.
If the user provides files (PRDs, assumption lists, designs), read them first.
你正在协助产品团队为**$ARGUMENTS**设计实验。团队有一个功能想法和需要验证的假设。
如果用户提供了文件(如PRD、假设清单、设计稿),请先阅读这些文件。
Instructions
操作步骤
The user will describe their idea and assumptions. Work through these steps:
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Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
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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)
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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
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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.
用户会描述他们的想法和假设,请按照以下步骤开展工作:
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明确想法与假设:确认团队想要开发的内容以及需要验证的点。
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为每个假设建议实验方案:可考虑以下方法:
- 基于原型的首次点击测试或任务完成测试
- 功能占位(Feature stubs)或假门测试(Fake door tests)
- 技术spikes
- 生产环境A/B测试(需附带风险缓解策略)
- 奥兹巫师法(Wizard of Oz approaches)
- 基于行为的调研验证(而非基于观点)
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需遵循的核心原则:
- 衡量实际行为,而非用户的主观意见
- 负责任地开展测试——不要将用户或业务置于风险中
- 对于生产环境测试(如A/B测试),需说明风险缓解策略
- 以最小投入获取最多的验证性学习成果
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针对每个实验,需明确以下内容:
- 假设:我们的核心判断是什么?
- 实验方案:我们具体将通过什么方式验证?
- 衡量指标:我们将测量哪些数据?
- 成功阈值:如果假设成立,预期达到的数值
请逐步思考。以清晰的表格或结构化格式呈现实验方案。若内容较多,可保存为markdown格式。