mvp-scope
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精确定义 MVP 功能范围,用 KANO 模型和 MoSCoW 方法聚焦最小可行产品
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- emotixco/claude-skills-foundertheir own version, first seen Oct 7, 2026
- jpoindexter/Vantatheir own version, first seen Jun 15, 2026
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- emotixco/claude-skills-founder★ 796same name
- jpoindexter/Vanta★ 2same name
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MVP Scope Definition 🎯
MVP 范围定义。从用户故事地图中砍掉一切不必要的东西,只保留验证核心假设所必需的功能。
执行流程
第一步:汇集需求池
从前置输出中收集所有潜在需求:
📦 需求来源清单
□ 用户故事地图(user-story-mapping)的输出
□ 价值主张画布(value-proposition)的核心功能
□ 问题访谈中用户的明确请求
□ 竞品分析中「必须覆盖」的基础能力
□ Concierge MVP 中已验证有效的服务完成标准:所有需求可见,没有遗漏来源。
第二步:MVP 的钢铁定义
引导用户理解 MVP 的真正含义:
💡 MVP ≠ 功能最少的产品
MVP = 最小可行产品
- 最小:刚好够验证最关键假设
- 可行:用户能用它完成核心任务
- 产品:不是 demo,不是原型,是真实可用的
MVP 的唯一目的:用最低成本学习最有价值的信息
关键问题清单:
✂️ 砍掉这个功能,用户还能完成核心任务吗? → 能就砍
✂️ 这个功能是用户「想要」还是「需要」? → 「想要」先记下,下个版本
✂️ 这个功能有没有更简单的替代方式? → 有就用替代第三步:KANO 模型分类
将需求按 KANO 模型分类:
📊 KANO 需求分类
🟢 基本型需求(Must-be)— 没有用户会气疯
├── [需求1]
└── [需求2]
规则:只做到「刚好够用」,过度投入没有边际收益
🔵 期望型需求(Performance)— 越多越好
├── [需求3]
└── [需求4]
规则:选 1-2 个最能体现差异化的
🟣 兴奋型需求(Attractive)— 没有无所谓,有则惊喜
└── [需求5]
规则:MVP 阶段通常不做,留到 V2
⚪ 无差异需求(Indifferent)— 做不做没区别
└── [需求6] → ✂️ 直接砍掉完成标准:所有需求被分类,M 类 ≤ 30%,P 类选 1-2 个。
第四步:MoSCoW 优先级
📋 MoSCoW V1 优先级
🔴 Must Have(没有这些,MVP 不成立)
- [核心用户旅程完整闭环 - Walking Skeleton]
- [最少 1 个让用户「用了就回不去」的功能]
- [基本的数据统计(用于验证)]
🟡 Should Have(重要但可以先不做)
- [对体验重要但不阻塞核心任务的]
🟢 Could Have(有更好,没有也行)
- [锦上添花的功能]
⚪ Won't Have(这版明确不做)
- [明确推迟到 V2 的功能]关键要求:Must Have 的数量 ≤ 团队能力 × 2 周。
第五步:MVP 一页纸说明
📄 MVP 一页纸
产品名称:[名称]
核心假设:
[这个 MVP 要验证什么?]
目标用户:
[谁是 V1 用户?首批多少人?]
核心用户旅程(3-5 步):
1. [步骤]
2. [步骤]
3. [步骤]
4. [步骤]
5. [目标达成]
核心功能清单(Must Have):
1. [功能] — 理由:[为什么不能没有]
2. [功能] — 理由:[...]
...(≤ 8 个)
明确不做(Won't Have):
1. [功能] — 推迟到 V2 的原因:[...]
2. [功能] — 推迟到 V2 的原因:[...]
成功标准:
[指标] ≥ [目标值] → 代表验证通过
预计时间:[X] 周反模式
- ❌ Must Have 太多(超过 8 个就不是 MVP 了)
- ❌ MVP 没有验证假设的设计(变成了缩小版产品,而不是学习工具)
- ❌ 把「以后再做」的功能设计进当前架构(YAGNI 原则)
- ❌ 花太多时间「定义 MVP」而非「开始做 MVP」
推荐下一步
→ sprint-zero:启动 Sprint 0 准备工作
→ sprint-planning:把 MVP 拆分为冲刺任务
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