ship-decisions

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The Shipping Decision Matrix

发布决策矩阵

When This Skill Activates

本技能适用场景

Claude uses this skill when:
  • User asks "is this ready to ship?"
  • Deciding between shipping now vs iterating more
  • Evaluating if "good enough" is good enough
  • Balancing technical debt vs shipping speed
  • Preventing perfectionism paralysis
当出现以下场景时,Claude会启用本技能:
  • 用户询问“这个功能可以发布了吗?”
  • 在“立即发布”和“继续迭代”之间做选择
  • 判断“足够好”是否真的达标
  • 平衡技术债务与发布速度
  • 避免因完美主义陷入停滞

Core Frameworks

核心框架

1. Reversible vs Irreversible Decisions (Source: Jeff Bezos, applied by Shreyas Doshi)

1. 可逆与不可逆决策(来源:Jeff Bezos,由Shreyas Doshi应用)

One-Way vs Two-Way Doors:
"Some decisions are like one-way doors - hard to reverse. Most decisions are like two-way doors - easy to reverse. Don't treat all decisions the same."
The Framework:
🚪 Two-Way Doors (Reversible)
  • Can be undone or changed easily
  • Low cost to reverse
  • Learning > being right
  • Decision speed: FAST (hours/days)
  • Process: Ship and iterate
🚪 One-Way Doors (Irreversible)
  • Hard or impossible to reverse
  • High cost to undo
  • Need to get it right
  • Decision speed: SLOW (weeks/months)
  • Process: Research, debate, decide carefully
How to Apply:
Before shipping, ask:
1. "Can we reverse this decision?"
   - YES → Two-way door → Ship fast, iterate
   - NO → One-way door → Go slow, get it right

2. "What's the cost of being wrong?"
   - LOW → Ship and learn
   - HIGH → Research more

3. "Can we learn more by shipping?"
   - YES → Ship to learn
   - NO → Prototype/test first
Examples:
TWO-WAY DOORS (Ship Fast):
✅ Button color
✅ Copy/messaging
✅ UI layout
✅ Feature flag experiments
✅ Pricing (for small customers)

ONE-WAY DOORS (Go Slow):
⚠️ Database schema (migrations expensive)
⚠️ API contracts (breaking changes hurt users)
⚠️ Brand decisions (hard to rebrand)
⚠️ Pricing (for enterprise customers)
⚠️ Architecture (refactoring expensive)

单向门 vs 双向门:
“有些决策就像单向门——难以逆转。大多数决策则像双向门——容易撤销。不要用同样的方式对待所有决策。”
框架内容:
🚪 双向门(可逆)
  • 可轻松撤销或修改
  • 逆转成本低
  • 学习优先于正确性
  • 决策速度: 快(数小时/数天)
  • 流程: 发布后迭代
🚪 单向门(不可逆)
  • 难以或无法逆转
  • 撤销成本高
  • 必须确保决策正确
  • 决策速度: 慢(数周/数月)
  • 流程: 充分调研、讨论后谨慎决策
应用方法:
发布前,先问自己:
1. “我们可以撤销这个决策吗?”
   - 是 → 双向门 → 快速发布,持续迭代
   - 否 → 单向门 → 谨慎决策,确保正确

2. “决策错误的成本有多高?”
   - 低 → 发布并学习
   - 高 → 进一步调研

3. “发布能让我们学到更多吗?”
   - 是 → 发布以获取反馈
   - 否 → 先做原型/测试
示例:
双向门(快速发布):
✅ 按钮颜色
✅ 文案/消息内容
✅ UI布局
✅ 功能开关实验
✅ 面向小客户的定价策略

单向门(谨慎决策):
⚠️ 数据库 schema(迁移成本高)
⚠️ API 契约(变更会影响用户)
⚠️ 品牌决策(重新品牌化难度大)
⚠️ 面向企业客户的定价策略
⚠️ 架构设计(重构成本高)

2. The Shipping Scorecard (Source: Shreyas Doshi)

2. 发布评分卡(来源:Shreyas Doshi)

Is It Ready?
"Don't ship broken products. But also don't wait for perfect. Ship when it's good enough for real users to get value."
The 5-Check System:
✅ 1. Core Functionality Works
  • Happy path functions end-to-end
  • User can complete main job
  • No critical bugs
✅ 2. Edge Cases Acceptable
  • Not perfect, but handled gracefully
  • Errors don't break experience
  • User can recover
✅ 3. Reversible Decision
  • Can we undo or iterate?
  • Is this a two-way door?
  • What's the rollback plan?
✅ 4. Learning Value > Polish Value
  • Will shipping teach us more than building more?
  • Do we need real user feedback to improve?
  • Is hypothetical polish valuable without data?
✅ 5. Risk Mitigated
  • Critical failure modes addressed
  • Monitoring in place
  • Gradual rollout plan
Scoring:
5/5 checks → SHIP NOW
4/5 checks → SHIP TO SMALL GROUP
3/5 checks → ITERATE ONE MORE CYCLE
<3/5 checks → NOT READY

功能是否就绪?
“不要发布有严重问题的产品,但也不要追求完美。当产品对真实用户具备足够价值时,就可以发布。”
5项检查体系:
✅ 1. 核心功能可用
  • 主流程端到端正常运行
  • 用户可完成核心任务
  • 无关键BUG
✅ 2. 边缘场景可接受
  • 无需完美,但需优雅处理
  • 错误不会破坏整体体验
  • 用户可从错误中恢复
✅ 3. 决策可逆
  • 我们可以撤销或迭代吗?
  • 这是双向门决策吗?
  • 回滚计划是什么?
✅ 4. 学习价值大于打磨价值
  • 发布带来的学习是否比继续开发更多?
  • 我们需要真实用户反馈来优化吗?
  • 没有数据支撑的打磨是否有价值?
✅ 5. 风险已缓解
  • 关键故障场景已处理
  • 监控机制已到位
  • 渐进式发布计划已制定
评分规则:
5/5 项达标 → 立即发布
4/5 项达标 → 面向小范围用户发布
3/5 项达标 → 再迭代一个周期
<3/5 项达标 → 未就绪

3. Technical Debt vs Shipping Speed (Source: Marty Cagan, Tobi Lutke)

3. 技术债务 vs 发布速度(来源:Marty Cagan, Tobi Lutke)

The Tradeoff:
"Technical debt isn't inherently bad. It's bad when it slows you down. Ship fast, pay down debt strategically."
When to Ship with Tech Debt:
  • Learning debt: Need user feedback to validate approach
  • Temporary: Planning to refactor soon anyway
  • Isolated: Debt doesn't affect other systems
  • Value >> Debt cost: User value gained > refactor cost
When to Pay Down Debt First:
  • Compounding debt: Will make future changes harder
  • Security/Privacy: User trust at risk
  • Platform/API: Breaking changes expensive
  • Team velocity: Slowing everyone down
Framework:
Assess Tech Debt:
1. What's the carrying cost?
   - Slows future features?
   - Blocks other teams?
   - Creates bugs?

2. What's the payoff of fixing?
   - Unblocks work?
   - Reduces bugs?
   - Improves velocity?

3. What's the user value of shipping now?
   - Solves immediate problem?
   - Competitive advantage?
   - Revenue impact?

Decision:
IF (user value > debt cost) → SHIP
IF (debt blocks future) → REFACTOR
IF (uncertain) → SHIP TO SMALL GROUP

权衡原则:
“技术债务本身并非坏事,只有当它拖慢进度时才会产生负面影响。快速发布,有策略地偿还债务。”
可带着技术债务发布的场景:
  • 学习型债务: 需要用户反馈来验证方案
  • 临时性债务: 已计划近期重构
  • 孤立型债务: 债务不会影响其他系统
  • 价值远大于成本: 用户价值远高于债务成本
需先偿还债务再发布的场景:
  • 复合型债务: 会让未来的变更更困难
  • 安全/隐私问题: 可能损害用户信任
  • 平台/API相关: 变更成本高
  • 团队效率: 已拖慢整个团队的速度
评估框架:
评估技术债务:
1. 持续成本是什么?
   - 会拖慢未来功能开发吗?
   - 会阻碍其他团队吗?
   - 会引发BUG吗?

2. 修复债务的收益是什么?
   - 能解锁更多工作吗?
   - 能减少BUG吗?
   - 能提升团队效率吗?

3. 立即发布的用户价值是什么?
   - 能解决用户的紧急问题吗?
   - 能带来竞争优势吗?
   - 能影响营收吗?

决策:
如果(用户价值 > 债务成本)→ 发布
如果(债务阻碍未来发展)→ 重构
如果(不确定)→ 面向小范围用户发布

4. Gradual Rollout Strategy (Source: Modern tech best practices)

4. 渐进式发布策略(来源:现代技术最佳实践)

Don't Ship to Everyone at Once:
"The safest way to ship is gradually. Start small, monitor, expand."
The Rollout Ladder:
Stage 1: Internal (1-10 users)
  • Team uses it daily
  • Find obvious bugs
  • Duration: 1-3 days
Stage 2: Early Adopters (1-5% users)
  • Select forgiving users
  • Eager for new features
  • Provide feedback actively
  • Duration: 3-7 days
Stage 3: Broader Beta (10-25%)
  • Larger sample size
  • Monitor metrics closely
  • Duration: 1-2 weeks
Stage 4: General Availability (100%)
  • All users
  • Stable metrics
  • Duration: Ongoing
Rollback Plan:
javascript
// Feature flag implementation
if (isFeatureEnabled(user, 'new-feature')) {
  return newExperience();
} else {
  return oldExperience();
}

// Quick rollback = change flag, no deploy

不要一次性全量发布:
“最安全的发布方式是渐进式的。从小范围开始,监控数据,逐步扩大范围。”
发布阶梯:
阶段1:内部测试(1-10名用户)
  • 团队日常使用
  • 发现明显BUG
  • 持续时间:1-3天
阶段2:早期 adopters(1-5%用户)
  • 选择宽容度高的用户
  • 对新功能充满期待
  • 积极提供反馈
  • 持续时间:3-7天
阶段3:公开Beta(10-25%用户)
  • 更大的样本量
  • 密切监控指标
  • 持续时间:1-2周
阶段4:全面可用(100%用户)
  • 所有用户均可使用
  • 指标稳定
  • 持续时间:长期
回滚计划:
javascript
// 功能开关实现
if (isFeatureEnabled(user, 'new-feature')) {
  return newExperience();
} else {
  return oldExperience();
}

// 快速回滚 = 修改开关状态,无需重新部署

Decision Tree: Ship or Wait?

决策树:发布还是等待?

FEATURE: Ready to evaluate
├─ Core functionality works? ───────NO──→ FIX CRITICAL BUGS
│  YES ↓
├─ Is this reversible decision? ────────┐
│  YES (two-way door) ──────────────────┤
│  NO (one-way door) → RESEARCH MORE    │
│                                        ↓
├─ Edge cases acceptable? ──────────────┤
│  YES ─────────────────────────────────┤
│  NO → FIX OR GRACEFUL DEGRADATION     │
│                                        ↓
├─ Can we learn from shipping? ─────────┤
│  YES ─────────────────────────────────┤
│  NO → TEST/PROTOTYPE MORE             │
│                                        ↓
├─ Risk mitigated? ─────────────────────┤
│  YES → SHIP GRADUALLY                 │
│  NO → ADD MONITORING/ROLLBACK         │
│                                        ↓
└─ SHIP ←───────────────────────────────┘
   Start: Internal → 5% → 25% → 100%
功能:待评估
├─ 核心功能可用? ───────否──→ 修复关键BUG
│  是 ↓
├─ 这是可逆决策吗? ────────┐
│  是(双向门) ──────────────────┤
│  否(单向门) → 进一步调研    │
│                                        ↓
├─ 边缘场景可接受? ──────────────┤
│  是 ─────────────────────────────────┤
│  否 → 修复或做优雅降级处理     │
│                                        ↓
├─ 发布能让我们学到更多吗? ─────────┤
│  是 ─────────────────────────────────┤
│  否 → 做更多测试/原型验证             │
│                                        ↓
├─ 风险已缓解? ─────────────────────┤
│  是 → 渐进式发布                 │
│  否 → 增加监控/回滚机制         │
│                                        ↓
└─ 发布 ←───────────────────────────────┘
   步骤:内部测试 → 5%用户 → 25%用户 → 全量发布

Action Templates

行动模板

Template 1: Shipping Readiness Assessment

模板1:发布就绪评估

markdown
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markdown
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Feature: [Name]

功能:[名称]

Shipping Scorecard

发布评分卡

1. Core Functionality Works

1. 核心功能可用

  • Happy path works end-to-end
  • User can complete main job
  • No critical bugs blocking core use Status: [Ready / Needs work]
  • 主流程端到端正常运行
  • 用户可完成核心任务
  • 无阻碍核心使用的关键BUG 状态: [就绪 / 需要优化]

2. Edge Cases Acceptable

2. 边缘场景可接受

  • Error states handled gracefully
  • User can recover from failures
  • Edge cases don't break experience Status: [Acceptable / Needs improvement]
  • 错误状态已优雅处理
  • 用户可从故障中恢复
  • 边缘场景不会破坏整体体验 状态: [可接受 / 需要改进]

3. Reversible Decision

3. 决策可逆

  • Is this reversible? [Yes / No]
  • Rollback plan: [describe]
  • Two-way door? [Yes / No] Status: [Safe to ship / Risky]
  • 是否可逆? [是 / 否]
  • 回滚计划:[描述]
  • 是否为双向门决策? [是 / 否] 状态: [可安全发布 / 存在风险]

4. Learning Value

4. 学习价值

  • Will shipping teach us more? [Yes / No]
  • Do we need real user feedback? [Yes / No]
  • Is polish speculative without data? [Yes / No] Status: [Ship to learn / Build more first]
  • 发布能让我们学到更多吗? [是 / 否]
  • 我们需要真实用户反馈吗? [是 / 否]
  • 无数据支撑的打磨是否有价值? [是 / 否] 状态: [发布以学习 / 先继续开发]

5. Risk Mitigated

5. 风险已缓解

  • Monitoring in place
  • Gradual rollout plan
  • Critical failure modes addressed Status: [Risks managed / Needs work]
  • 监控机制已到位
  • 渐进式发布计划已制定
  • 关键故障场景已处理 状态: [风险可控 / 需要优化]

Score: [X / 5]

评分:[X / 5]

Decision:
  • 5/5 → Ship to 5% immediately
  • 4/5 → Ship to internal first
  • 3/5 → One more iteration
  • <3 → Not ready
决策:
  • 5/5 → 立即面向5%用户发布
  • 4/5 → 先面向内部团队发布
  • 3/5 → 再迭代一个周期
  • <3 → 未就绪

Rollout Plan

发布计划

  • Internal (team): [date]
  • Early adopters (5%): [date]
  • Broader beta (25%): [date]
  • General availability (100%): [date]
undefined
  • 内部测试(团队):[日期]
  • 早期 adopters(5%):[日期]
  • 公开Beta(25%):[日期]
  • 全面可用(100%):[日期]
undefined

Template 2: Tech Debt Decision

模板2:技术债务决策

markdown
undefined
markdown
undefined

Feature: [Name]

功能:[名称]

Technical Debt Assessment

技术债务评估

Current Debt

当前债务

[Describe shortcuts taken, code quality issues]
[描述采取的捷径、代码质量问题]

Carrying Cost

持续成本

  • Slows future features? [Yes / No / How much]
  • Blocks other teams? [Yes / No]
  • Creates bugs? [Yes / No / Frequency]
  • Security/privacy risk? [Yes / No]
Debt Impact: [High / Medium / Low]
  • 会拖慢未来功能开发吗? [是 / 否 / 影响程度]
  • 会阻碍其他团队吗? [是 / 否]
  • 会引发BUG吗? [是 / 否 / 频率]
  • 存在安全/隐私风险吗? [是 / 否]
债务影响: [高 / 中 / 低]

Payoff of Fixing Now

立即修复的收益

  • Time to refactor: [X days]
  • Would unblock: [list]
  • Would improve: [list]
Refactor Value: [High / Medium / Low]
  • 重构所需时间:[X天]
  • 可解锁的工作:[列表]
  • 可提升的方面:[列表]
重构价值: [高 / 中 / 低]

User Value of Shipping Now

立即发布的用户价值

  • User problem solved: [describe]
  • Revenue/metric impact: [estimate]
  • Competitive advantage: [Yes / No]
  • User waiting for this: [Yes / No]
Shipping Value: [High / Medium / Low]
  • 解决的用户问题:[描述]
  • 对营收/指标的影响:[预估]
  • 竞争优势:[是 / 否]
  • 用户是否在等待该功能:[是 / 否]
发布价值: [高 / 中 / 低]

Decision

决策

IF Shipping Value > Debt Impact: → SHIP NOW, refactor later Plan: [when to address debt]
IF Debt Impact > Shipping Value: → REFACTOR FIRST, then ship Plan: [how to refactor]
IF Uncertain: → SHIP TO SMALL GROUP (5%) Monitor: [specific metrics]
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如果发布价值 > 债务影响: → 立即发布,后续重构 计划:[何时处理债务]
如果债务影响 > 发布价值: → 先重构,再发布 计划:[重构方案]
如果不确定: → 面向小范围用户发布(5%) 监控指标:[具体指标]
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Template 3: One-Way vs Two-Way Door

模板3:单向门 vs 双向门

markdown
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markdown
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Decision: [Description]

决策:[描述]

Reversibility Analysis

可逆性分析

Can we reverse this decision?

我们可以撤销这个决策吗?

[Yes / No / Partially]
[是 / 否 / 部分可逆]

Cost to reverse

撤销成本

  • Time: [X days/weeks]
  • Money: [$X]
  • User impact: [High / Medium / Low]
  • Team impact: [High / Medium / Low]
  • 时间:[X天/周]
  • 资金:[$X]
  • 用户影响:[高 / 中 / 低]
  • 团队影响:[高 / 中 / 低]

Why hard to reverse?

难以撤销的原因

[Technical, contractual, brand, user expectations, etc.]
[技术、合同、品牌、用户预期等]

Door Type

决策类型

Two-Way Door (Reversible): → Decide in: Hours/days → Process: Ship fast, iterate → Research: Minimal
One-Way Door (Irreversible): → Decide in: Weeks/months → Process: Research, debate, consensus → Research: Extensive
双向门(可逆): → 决策周期:数小时/数天 → 流程:快速发布,持续迭代 → 调研: minimal
单向门(不可逆): → 决策周期:数周/数月 → 流程:调研、讨论、达成共识 → 调研:充分

Decision

最终决策

Door type: [Two-way / One-way] Decision timeline: [X time] Process: [describe]
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决策类型:[双向门 / 单向门] 决策周期:[X时间] 流程:[描述]
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Quick Reference Card

快速参考卡

🚢 Shipping Decision Checklist

🚢 发布决策检查清单

Before Evaluating:
  • Core functionality tested
  • Edge cases identified
  • Rollback plan ready
The 5 Questions:
  1. Works? Core functionality end-to-end ✓
  2. Acceptable? Edge cases handled gracefully ✓
  3. Reversible? Can we undo or iterate? ✓
  4. Learn? Shipping teaches us more than building? ✓
  5. Safe? Risks mitigated, monitoring ready ✓
Decision Rules:
  • 5/5 → Ship to small group now
  • 4/5 → Ship internal first
  • 3/5 → One more iteration
  • <3/5 → Not ready yet
Rollout Ladder:
  1. Internal (team)
  2. Early adopters (5%)
  3. Broader beta (25%)
  4. General availability (100%)

评估前准备:
  • 核心功能已测试
  • 边缘场景已识别
  • 回滚计划已就绪
5个关键问题:
  1. 可用? 核心功能端到端正常运行 ✓
  2. 可接受? 边缘场景已优雅处理 ✓
  3. 可逆? 我们可以撤销或迭代吗? ✓
  4. 学习? 发布带来的学习比继续开发更多吗? ✓
  5. 安全? 风险已缓解,监控已到位 ✓
决策规则:
  • 5/5 → 立即面向小范围用户发布
  • 4/5 → 先面向内部团队发布
  • 3/5 → 再迭代一个周期
  • <3/5 → 未就绪
发布阶梯:
  1. 内部测试(团队)
  2. 早期 adopters(5%)
  3. 公开Beta(25%)
  4. 全面可用(100%)

Real-World Examples

实际案例

Example 1: Facebook's "Move Fast" Philosophy

案例1:Facebook的“快速行动”理念

Approach: Ship fast, break things (early days)
  • Two-way doors: Ship immediately
  • Feature flags: Easy rollback
  • Gradual rollouts: 1% → 5% → 25% → 100%
Evolution: "Move fast with stable infrastructure"
  • One-way doors: Go slow (API, platform)
  • Two-way doors: Still fast (UI, features)

方法: 快速发布,允许出错(早期阶段)
  • 双向门决策:立即发布
  • 功能开关:轻松回滚
  • 渐进式发布:1% →5% →25% →100%
演变: “在稳定基础设施上快速行动”
  • 单向门决策:谨慎处理(API、平台) -双向门决策:仍保持快速(UI、功能)

Example 2: Stripe's API Versioning

案例2:Stripe的API版本控制

Challenge: Changing API breaks customers
Decision: ONE-WAY DOOR
  • Treat API as contract
  • Never break backwards compatibility
  • Version all changes
  • Support old versions forever
Result: Trust through stability

挑战: 修改API会影响客户
决策: 单向门
  • 将API视为契约
  • 绝不破坏向后兼容性
  • 所有变更均做版本控制
  • 永久支持旧版本
结果: 通过稳定性建立用户信任

Example 3: Tech Debt at Airbnb

案例3:Airbnb的技术债务处理

Challenge: Ship new features vs refactor
Decision Framework:
  • Debt blocking growth → Refactor first
  • Debt isolated → Ship, refactor later
  • Uncertain → Ship to 5%, measure velocity
Result: Strategic debt paydown, maintained velocity

挑战: 发布新功能 vs 重构
决策框架:
  • 债务阻碍增长 → 先重构
  • 债务孤立 → 发布后再重构
  • 不确定 → 面向5%用户发布,衡量效率
结果: 有策略地偿还债务,同时保持发布速度

Common Pitfalls

常见误区

❌ Mistake 1: Treating All Decisions Like One-Way Doors

❌ 误区1:将所有决策都视为单向门

Problem: Slow decision-making, perfectionism Fix: Identify two-way doors, ship fast on those
问题: 决策速度慢,陷入完美主义 解决方法: 识别双向门决策,快速发布

❌ Mistake 2: Shipping Broken Core Functionality

❌ 误区2:发布核心功能有严重问题的产品

Problem: "Move fast and break things" gone wrong Fix: Core must work, edge cases can be rough
问题: “快速行动,允许出错”理念被滥用 解决方法: 核心功能必须可用,边缘场景可适当妥协

❌ Mistake 3: No Rollback Plan

❌ 误区3:无回滚计划

Problem: Ship breaks, no way to undo Fix: Feature flags, gradual rollout
问题: 发布出现问题时无法撤销 解决方法: 使用功能开关,采用渐进式发布

❌ Mistake 4: Ignoring Compounding Tech Debt

❌ 误区4:忽视复合型技术债务

Problem: Short-term speed, long-term slowdown Fix: Strategic debt paydown

问题: 短期速度快,但长期拖慢进度 解决方法: 有策略地偿还债务

Related Skills

相关技能

  • strategic-build - For LNO framework (is this Leverage work?)
  • quality-speed - For craft quality vs shipping speed
  • zero-to-launch - For MVP scoping decisions
  • exp-driven-dev - For A/B testing risky changes

  • strategic-build - 适用于LNO框架(判断是否为杠杆型工作?)
  • quality-speed - 用于平衡工艺质量与发布速度
  • zero-to-launch - 用于MVP范围决策
  • exp-driven-dev - 用于A/B测试高风险变更

Key Quotes

关键引用

Jeff Bezos (Amazon):
"Some decisions are consequential and irreversible - one-way doors. Make those slowly. Most decisions are reversible - two-way doors. Make those fast."
Shreyas Doshi:
"The best PMs know when 'good enough' is good enough. Ship to learn, not to be perfect."
Marty Cagan:
"Technical debt isn't the enemy. The enemy is debt that compounds and slows you down."
Tobi Lutke (Shopify):
"Trust is built on shipping what you promise. Ship early, ship often, ship small."

Jeff Bezos(亚马逊):
“有些决策影响重大且不可逆——单向门。这类决策要慢做。大多数决策是可逆的——双向门。这类决策要快做。”
Shreyas Doshi:
“最优秀的PM知道‘足够好’的标准是什么。发布是为了学习,而非追求完美。”
Marty Cagan:
“技术债务并非敌人。真正的敌人是会拖慢进度的复合型债务。”
Tobi Lutke(Shopify):
“信任源于兑现承诺。尽早发布、频繁发布、小步发布。”

Further Learning

进一步学习

  • references/reversible-decisions.md - One-way vs two-way doors guide
  • references/shipping-checklist.md - Comprehensive readiness assessment
  • references/gradual-rollout-guide.md - Feature flag implementation
  • references/tech-debt-paydown.md - Strategic refactoring frameworks
  • references/reversible-decisions.md - 单向门vs双向门指南
  • references/shipping-checklist.md - 全面的就绪评估清单
  • references/gradual-rollout-guide.md - 功能开关实现指南
  • references/tech-debt-paydown.md - 策略性重构框架