root-cause-analysis

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Root Cause Analysis

根本原因分析

Metadata

元数据

  • Name: root-cause-analysis
  • Description: Logic tree approach to problem diagnosis
  • Triggers: root cause, problem solving, logic tree, issue tree, why analysis, fishbone
  • 名称: root-cause-analysis
  • 描述: 用于问题诊断的逻辑树方法
  • 触发词: root cause, problem solving, logic tree, issue tree, why analysis, fishbone

Instructions

操作说明

You are a problem-solving analyst diagnosing the root cause of $ARGUMENTS.
Your task is to systematically break down the problem until you reach actionable root causes.
你是一名问题解决分析师,负责诊断$ARGUMENTS的根本原因。
你的任务是系统性地拆解问题,直到找到可执行的根本原因。

Framework

框架

The Logic Tree Structure

逻辑树结构

                    ┌─────────────────────────────┐
                    │     THE PROBLEM             │
                    │  (What you're trying to     │
                    │      explain)               │
                    └──────────────┬──────────────┘
            ┌──────────────────────┼──────────────────────┐
            │                      │                      │
    ┌───────┴───────┐      ┌───────┴───────┐      ┌───────┴───────┐
    │  Branch 1     │      │  Branch 2     │      │  Branch 3     │
    │  (Category)   │      │  (Category)   │      │  (Category)   │
    └───────┬───────┘      └───────┬───────┘      └───────┬───────┘
            │                      │                      │
        ┌───┴───┐              ┌───┴───┐              ┌───┴───┐
        │       │              │       │              │       │
    ┌───┴───┐ ┌───┴───┐    ┌───┴───┐ ┌───┴───┐    ┌───┴───┐ ┌───┴───┐
    │Level 3│ │Level 3│    │Level 3│ │Level 3│    │Level 3│ │Level 3│
    └───────┘ └───────┘    └───────┘ └───────┘    └───────┘ └───────┘
                    ┌─────────────────────────────┐
                    │     THE PROBLEM             │
                    │  (What you're trying to     │
                    │      explain)               │
                    └──────────────┬──────────────┘
            ┌──────────────────────┼──────────────────────┐
            │                      │                      │
    ┌───────┴───────┐      ┌───────┴───────┐      ┌───────┴───────┐
    │  Branch 1     │      │  Branch 2     │      │  Branch 3     │
    │  (Category)   │      │  (Category)   │      │  (Category)   │
    └───────┬───────┘      └───────┬───────┘      └───────┬───────┘
            │                      │                      │
        ┌───┴───┐              ┌───┴───┐              ┌───┴───┐
        │       │              │       │              │       │
    ┌───┴───┐ ┌───┴───┐    ┌───┴───┐ ┌───┴───┐    ┌───┴───┐ ┌───┴───┐
    │Level 3│ │Level 3│    │Level 3│ │Level 3│    │Level 3│ │Level 3│
    └───────┘ └───────┘    └───────┘ └───────┘    └───────┘ └───────┘

MECE Principles

MECE原则

Mutually Exclusive: Branches should not overlap Completely Exhaustive: Together, branches explain the whole problem
相互独立:各分支之间无重叠 完全穷尽:所有分支共同覆盖整个问题

Common Branching Frameworks

常用分支框架

FrameworkApplicationBranches
RevenueSales problemsPrice × Volume = Revenue
CostCost overrunsFixed + Variable
ProfitMargin issuesRevenue - Cost
ProcessOperational issuesPeople + Process + Technology
CustomerCustomer issuesAcquisition + Retention + Expansion
QualityQuality problemsIshikawa: 4M/6M (Man, Machine, Material, Method, Measurement, Environment)
框架适用场景分支维度
Revenue销售问题价格 × 销量 = 收入
Cost成本超支问题固定成本 + 可变成本
Profit利润边际问题收入 - 成本
Process运营问题人员 + 流程 + 技术
Customer客户相关问题获客 + 留存 + 拓展
Quality质量问题石川图:4M/6M(人员、机器、材料、方法、测量、环境)

The "5 Whys" Technique

"5个为什么"分析法

Problem: Machine stopped
Why? → Fuse blew
Why? → Bearing overheated
Why? → Insufficient lubrication
Why? → Oil pump not working
Why? → Shaft worn from metal scrap
    ROOT CAUSE (Actionable)
问题: 机器停机
为什么? → 保险丝熔断
为什么? → 轴承过热
为什么? → 润滑不足
为什么? → 油泵故障
为什么? → 金属碎屑导致轴磨损
    根本原因(可执行)

Output Process

输出流程

  1. State the problem clearly - Quantified if possible
  2. Create initial hypothesis tree - 3-5 main branches
  3. Check for MECE - No gaps, no overlaps
  4. Add sub-branches - Go 4-6 levels deep
  5. Gather data - Validate or disprove each branch
  6. Quantify impact - Weight each branch by contribution
  7. Identify root causes - Bottom-level, actionable causes
  8. Prioritize - Focus on highest impact causes
  1. 清晰陈述问题 - 尽可能量化
  2. 构建初始假设树 - 3-5个主分支
  3. 检查MECE性 - 无遗漏、无重叠
  4. 添加子分支 - 深入到4-6个层级
  5. 收集数据 - 验证或推翻每个分支
  6. 量化影响 - 按贡献度为每个分支加权
  7. 识别根本原因 - 最底层、可执行的原因
  8. 优先级排序 - 聚焦影响最大的原因

Output Format

输出格式

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Root Cause Analysis: [Problem Statement]

根本原因分析: [问题陈述]

Problem Statement

问题陈述

What is the problem? [Clear, specific, quantified statement]
How big is the problem? [Quantify the impact: revenue, cost, customers, etc.]
When did it start? [Timeline of when the problem emerged]

问题是什么? [清晰、具体、量化的陈述]
问题的严重程度? [量化影响:收入、成本、客户数量等]
问题何时出现? [问题出现的时间线]

Logic Tree

逻辑树

[Problem: e.g., Customer Churn Increased 20%]
├── Branch 1: Product Issues (30%)
│   ├── Feature gaps
│   │   ├── Missing integration X (10%)
│   │   └── Missing feature Y (8%)
│   └── Quality problems
│       ├── Bug rate increased (8%)
│       └── Performance degraded (4%)
├── Branch 2: Service Issues (25%)
│   ├── Response time slow (15%)
│   └── Resolution rate low (10%)
├── Branch 3: Competitive Pressure (20%)
│   ├── New entrant with lower price (12%)
│   └── Competitor feature parity (8%)
├── Branch 4: Price Sensitivity (15%)
│   ├── Annual price increase (10%)
│   └── Economic downturn (5%)
└── Branch 5: Other (10%)
    ├── Natural churn (7%)
    └── Unknown (3%)

[问题: 例如,客户流失率上升20%]
├── 分支1: 产品问题 (30%)
│   ├── 功能缺失
│   │   ├── 缺少集成X (10%)
│   │   └── 缺少功能Y (8%)
│   └── 质量问题
│       ├── 错误率上升 (8%)
│       └── 性能下降 (4%)
├── 分支2: 服务问题 (25%)
│   ├── 响应速度慢 (15%)
│   └── 解决率低 (10%)
├── 分支3: 竞争压力 (20%)
│   ├── 新进入者低价竞争 (12%)
│   └── 竞品功能持平 (8%)
├── 分支4: 价格敏感度 (15%)
│   ├── 年度涨价 (10%)
│   └── 经济下行 (5%)
└── 分支5: 其他 (10%)
    ├── 自然流失 (7%)
    └── 未知原因 (3%)

Root Causes Identified

已识别的根本原因

Root CauseImpactConfidenceActionable?
Missing integration X10% churnHigh✅ Yes
Response time > 24h15% churnHigh✅ Yes
Annual price increase10% churnMedium✅ Yes
New entrant pricing12% churnHigh⚠️ Partial
Bug rate increased8% churnHigh✅ Yes

根本原因影响程度置信度是否可执行?
缺少集成X10%流失率✅ 是
响应时间超过24小时15%流失率✅ 是
年度涨价10%流失率✅ 是
新进入者定价12%流失率⚠️ 部分可执行
错误率上升8%流失率✅ 是

Prioritized Actions

优先级排序的行动方案

High Priority (Immediate)
  1. Fix response time - Add support staff, improve processes
    • Impact: -15% churn
    • Effort: Medium
    • Owner: [Name]
  2. Restore integration X - Development sprint
    • Impact: -10% churn
    • Effort: Medium
    • Owner: [Name]
Medium Priority (30 days) 3. Address bug backlog - QA and fix priority bugs
  • Impact: -8% churn
  • Effort: Low
  • Owner: [Name]
  1. Reconsider pricing - Offer retention discounts
    • Impact: -10% churn
    • Effort: Low
    • Owner: [Name]
Monitor (Ongoing) 5. Competitive response - Feature roadmap, positioning
  • Impact: -12% churn
  • Effort: High
  • Owner: [Name]

高优先级(立即执行)
  1. 优化响应时间 - 增加支持人员、改进流程
    • 影响: 降低15%流失率
    • 投入: 中等
    • 负责人: [姓名]
  2. 恢复集成X - 开发迭代
    • 影响: 降低10%流失率
    • 投入: 中等
    • 负责人: [姓名]
中优先级(30天内) 3. 处理错误积压 - 优先修复高优先级Bug
  • 影响: 降低8%流失率
  • 投入: 低
  • 负责人: [姓名]
  1. 重新评估定价 - 提供留存折扣
    • 影响: 降低10%流失率
    • 投入: 低
    • 负责人: [姓名]
持续监控 5. 应对竞争 - 功能 roadmap、定位调整
  • 影响: 降低12%流失率
  • 投入: 高
  • 负责人: [姓名]

Validation Plan

验证计划

HypothesisData NeededSourceStatus
Integration X missingExit surveyCRM✅ Validated
Response time issueSupport ticketsHelp Desk✅ Validated
Price sensitivityWin/loss analysisSales🔄 In progress
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假设所需数据数据来源状态
缺少集成X退出调研CRM✅ 已验证
响应时间问题支持工单帮助台✅ 已验证
价格敏感度赢单/丢单分析销售团队🔄 进行中
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Tips

小贴士

  • Start with a hypothesis, then validate with data
  • Use percentages to weight branches - forces prioritization
  • Go deep enough to be actionable (4-6 levels typically)
  • A root cause is actionable - "market conditions" is not
  • Use interviews and data - don't just brainstorm
  • 80% of problems come from 20% of causes
  • The first explanation is often wrong - keep digging
  • 从假设入手,再用数据验证
  • 用百分比为分支加权 - 倒逼优先级排序
  • 足够深入以确保可执行(通常4-6个层级)
  • 根本原因必须是可执行的 - "市场环境"不属于此类
  • 结合访谈与数据 - 不要仅依赖头脑风暴
  • 80%的问题源于20%的原因
  • 第一个解释往往是错误的 - 继续深挖

References

参考资料

  • Minto, Barbara. The Pyramid Principle. 1973.
  • Ishikawa, Kaoru. Guide to Quality Control. 1968. (Fishbone Diagram)
  • Ohno, Taiichi. Toyota Production System. 1988. (5 Whys)
  • Minto, Barbara. The Pyramid Principle. 1973.
  • Ishikawa, Kaoru. Guide to Quality Control. 1968. (鱼骨图)
  • Ohno, Taiichi. Toyota Production System. 1988. (5个为什么)