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feature-prioritization-assistant

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Feature Prioritization Assistant

功能优先级排序助手

When to Use

使用场景

  • Building your product roadmap
  • Need to choose between multiple feature ideas
  • Stakeholders are debating which features to build first
  • Want to make data-driven prioritization decisions
  • Need to justify prioritization decisions to leadership
  • 制定产品路线图时
  • 需要在多个功能想法中做出选择时
  • 利益相关者在争论先开发哪些功能时
  • 希望做出数据驱动的优先级决策时
  • 需要向领导层证明优先级决策的合理性时

What This Skill Does

该技能的作用

Helps you systematically evaluate and prioritize features using the RICE framework (Reach, Impact, Confidence, Effort), providing scores and recommendations.
帮助你使用RICE框架（Reach覆盖范围、Impact影响程度、Confidence置信度、Effort投入成本）系统化地评估和排序功能，提供分数和建议。

Instructions

使用说明

Help me prioritize these features using the RICE framework. For each feature, help me estimate:
  1. Reach: How many users will this impact per month?
  2. Impact: How much will this impact each user? (Scale: 0.25=minimal, 0.5=low, 1=medium, 2=high, 3=massive)
  3. Confidence: How confident are we in our estimates? (Scale: 0-100%)
  4. Effort: How many person-months will this take to build?
Then calculate the RICE score: (Reach × Impact × Confidence) / Effort
Features to evaluate: [List your features with any context you have]
请帮我使用RICE框架对这些功能进行优先级排序。针对每个功能，帮我估算：
  1. Reach（覆盖范围）：每月会影响多少用户？
  2. Impact（影响程度）：对每个用户的影响有多大？（评分标准：0.25=极小，0.5=低，1=中等，2=高，3=极大）
  3. Confidence（置信度）：我们对估算结果的置信度有多高？（评分范围：0-100%）
  4. Effort（投入成本）：开发该功能需要多少人月？
然后计算RICE分数：(Reach × Impact × Confidence) / Effort
待评估功能： [列出你的功能及相关背景信息]

Best Practices

最佳实践

  • Gather data on current user behavior before estimating Reach
  • Base Impact on user research and pain point severity
  • Be honest about Confidence levels - lower confidence for assumptions
  • Include design, development, and testing time in Effort estimates
  • Revisit estimates after initial discovery work
  • Consider dependencies between features
  • 在估算Reach前，收集当前用户行为数据
  • Impact的评估基于用户研究和痛点严重程度
  • 如实评估Confidence——对于假设性的估算，置信度要设低一些
  • Effort估算需包含设计、开发和测试时间
  • 在初步探索工作完成后，重新审视估算结果
  • 考虑功能之间的依赖关系

Example

示例

Input: 5 features (notifications, dark mode, API access, mobile app, analytics dashboard) Output: RICE scores calculated for each, ranked list with reasoning, recommendations on which to prioritize, and suggestions for validating assumptions on low-c...
**输入：**5个功能（通知功能、深色模式、API访问、移动应用、分析仪表盘） **输出：**计算每个功能的RICE分数，生成带理由的排名列表，给出优先开发建议，以及针对低置信度功能的假设验证建议...