brainstorm-experiments-existing

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Original

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Translation

Chinese

Design 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:
  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.

用户会描述他们的想法和假设,请按照以下步骤开展工作:
  1. 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。
  2. 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)
  3. 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
  4. 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。

Further Reading

拓展阅读