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ChinesePM Knowledge Base - Product Management Frameworks & Methodologies
产品管理知识库 - 产品管理框架与方法论
This Skill provides comprehensive Product Management knowledge, frameworks, and best practices to support PM decision-making and execution.
本技能提供全面的产品管理知识、框架及最佳实践,为产品管理的决策与执行提供支持。
When to Use This Skill
何时使用此技能
Activate this Skill when you need:
- Prioritization frameworks (RICE, MoSCoW, Kano Model, Value vs Effort)
- Goal-setting methodologies (OKR, SMART, North Star Metric)
- Customer research approaches (Jobs-to-be-Done, Persona creation, User interviews)
- Product strategy frameworks (Blue Ocean, Positioning, Go-to-Market)
- Roadmap planning and communication
- Metrics and analytics guidance
当你需要以下内容时,可激活此技能:
- 优先级排序框架(RICE、MoSCoW、Kano模型、价值vs投入矩阵)
- 目标设定方法论(OKR、SMART、北极星指标)
- 客户研究方法(Jobs-to-be-Done、用户画像创建、用户访谈)
- 产品策略框架(蓝海战略、定位、上市策略)
- 路线图规划与沟通
- 指标与分析指导
Core PM Frameworks
核心产品管理框架
1. Prioritization Frameworks
1. 优先级排序框架
RICE Score
RICE评分
Formula:
(Reach × Impact × Confidence) / EffortComponents:
- Reach: How many users/customers affected per time period
- Example: 1000 users per quarter
- Impact: How much impact per user (scale)
- 3 = Massive impact
- 2 = High impact
- 1 = Medium impact
- 0.5 = Low impact
- 0.25 = Minimal impact
- Confidence: How confident in estimates
- 100% = High confidence
- 80% = Medium confidence
- 50% = Low confidence
- Effort: Person-months required
- Example: 0.5 person-months
Example:
Feature: Social Login
- Reach: 1000 users/quarter
- Impact: 2 (high)
- Confidence: 80%
- Effort: 0.5 person-months
RICE Score = (1000 × 2 × 0.8) / 0.5 = 3200Higher RICE score = Higher priority
公式:
(Reach × Impact × Confidence) / Effort组成部分:
- 覆盖用户数(Reach):每个时间段内受影响的用户/客户数量
- 示例:每季度1000名用户
- 影响力(Impact):对单个用户的影响程度(分级)
- 3 = 巨大影响
- 2 = 高影响
- 1 = 中等影响
- 0.5 = 低影响
- 0.25 = 极小影响
- 置信度(Confidence):对估算结果的信心程度
- 100% = 高置信度
- 80% = 中等置信度
- 50% = 低置信度
- 投入(Effort):所需的人月数
- 示例:0.5人月
示例:
功能:社交登录
- Reach:1000用户/季度
- Impact:2(高)
- Confidence:80%
- Effort:0.5人月
RICE评分 = (1000 × 2 × 0.8) / 0.5 = 3200RICE评分越高,优先级越高
MoSCoW Method
MoSCoW方法
Categorize features into four buckets:
-
Must Have (P0): Critical for release, blocking
- Without this, the release fails
- Legal/regulatory requirements
- Core value proposition
-
Should Have (P1): Important but not critical
- Significant impact but workarounds exist
- Can be delayed if necessary
-
Could Have (P2): Nice to have if time permits
- Small impact
- Easy to implement
- Low risk
-
Won't Have (P3): Out of scope for this release
- Explicitly documented
- May reconsider for future releases
将功能分为四个类别:
-
必须具备(P0):发布的关键需求,具有阻塞性
- 缺少此项,发布即失败
- 法律/合规要求
- 核心价值主张
-
应该具备(P1):重要但非关键
- 影响显著但存在替代方案
- 必要时可延迟交付
-
可以具备(P2):时间允许时的锦上添花项
- 影响较小
- 易于实现
- 低风险
-
暂不具备(P3):本版本范围外的内容
- 需明确记录
- 未来版本可重新考虑
Value vs Effort Matrix
价值vs投入矩阵
High Value, Low Effort → Quick Wins (Do First)
High Value, High Effort → Big Bets (Do Second)
Low Value, Low Effort → Fill-ins (Do Third)
Low Value, High Effort → Time Sinks (Don't Do)Application:
- Plot all features on 2x2 matrix
- Focus resources on Quick Wins
- Select 1-2 Big Bets per quarter
- Use Fill-ins to balance workload
- Avoid Time Sinks entirely
高价值、低投入 → 快速制胜项(优先执行)
高价值、高投入 → 重大赌注项(次优先执行)
低价值、低投入 → 填充项(第三优先级)
低价值、高投入 → 时间消耗项(不执行)应用步骤:
- 将所有功能绘制在2x2矩阵上
- 优先分配资源到快速制胜项
- 每季度选择1-2个重大赌注项
- 用填充项平衡工作负载
- 完全避免时间消耗项
Kano Model
Kano模型
Categorize features by customer satisfaction impact:
-
Basic Needs: Expected features (absence causes dissatisfaction)
- Example: Product search, checkout
-
Performance Needs: More is better (linear satisfaction)
- Example: Page load speed, feature completeness
-
Delight Needs: Unexpected features (presence causes joy)
- Example: Personalized recommendations, Easter eggs
Strategy:
- Ensure all Basic Needs are met
- Compete on key Performance Needs
- Differentiate with Delight Needs
根据对客户满意度的影响对功能分类:
-
基础需求:用户预期具备的功能(缺失会导致不满)
- 示例:产品搜索、结账功能
-
性能需求:越多越好(满意度呈线性增长)
- 示例:页面加载速度、功能完整性
-
惊喜需求:超出预期的功能(存在会带来愉悦感)
- 示例:个性化推荐、复活节彩蛋
策略:
- 确保所有基础需求都得到满足
- 在关键性能需求上保持竞争力
- 用惊喜需求实现差异化
2. Goal-Setting Frameworks
2. 目标设定框架
OKR (Objectives and Key Results)
OKR(目标与关键成果)
Structure:
Objective: Qualitative, inspiring, time-bound goal
Key Result 1: Measurable outcome (metric + target)
Key Result 2: Measurable outcome (metric + target)
Key Result 3: Measurable outcome (metric + target)Best Practices:
- 3-5 Objectives per quarter
- 3-5 Key Results per Objective
- 70% achievable = good OKR
- Review weekly, grade quarterly (0-1 scale)
Example:
Objective: Become the go-to platform for small business productivity
Key Result 1: Increase MAU from 100K to 200K
Key Result 2: Improve Day 30 retention from 20% to 30%
Key Result 3: Achieve NPS of 50+
Key Result 4: Launch in 3 new markets结构:
目标:定性、具有激励性、有时限的目标
关键成果1:可衡量的结果(指标+目标值)
关键成果2:可衡量的结果(指标+目标值)
关键成果3:可衡量的结果(指标+目标值)最佳实践:
- 每季度设定3-5个目标
- 每个目标对应3-5个关键成果
- 70%的可达成度为优质OKR
- 每周回顾,每季度评分(0-1分制)
示例:
目标:成为小型企业生产力的首选平台
关键成果1:将月活跃用户(MAU)从10万提升至20万
关键成果2:将30日留存率从20%提升至30%
关键成果3:实现净推荐值(NPS)50+
关键成果4:进入3个新市场SMART Goals
SMART目标
- Specific: Clear and unambiguous
- Measurable: Quantifiable
- Achievable: Realistic
- Relevant: Aligned with strategy
- Time-bound: Has a deadline
Example:
❌ Bad: "Improve user engagement"
✅ Good: "Increase DAU from 10K to 15K by end of Q2"
- 具体(S):清晰明确,不含糊
- 可衡量(M):可量化
- 可实现(A):符合实际
- 相关性(R):与战略对齐
- 时限性(T):有明确截止日期
示例:
❌ 不佳:"提升用户参与度"
✅ 优质:"在Q2结束前将日活跃用户(DAU)从1万提升至1.5万"
North Star Metric
北极星指标
Definition: Single metric that best captures core value delivered
Criteria:
- Reflects customer value
- Measures product success
- Predicts revenue
- Easy to understand
- Actionable by team
Examples:
- Airbnb: Nights Booked
- Facebook: Daily Active Users
- Slack: Messages Sent
- Netflix: Hours Watched
- Spotify: Time Listening
Supporting Metrics:
- Input Metrics: Actions that drive North Star
- Output Metrics: Results of those actions
- Guardrail Metrics: Prevent gaming the system
定义: 最能体现产品核心价值交付情况的单一指标
标准:
- 反映客户价值
- 衡量产品成功
- 可预测收入
- 易于理解
- 团队可采取行动影响
示例:
- Airbnb:预订晚数
- Facebook:日活跃用户
- Slack:发送消息数
- Netflix:观看时长
- Spotify:收听时长
配套指标:
- 输入指标:驱动北极星指标的行动
- 输出指标:这些行动产生的结果
- 护栏指标:防止指标被恶意操纵
3. Customer Research Frameworks
3. 客户研究框架
Jobs-to-be-Done (JTBD)
Jobs-to-be-Done(JTBD)
Framework:
When I [situation],
I want to [motivation],
So I can [expected outcome].Example:
When I'm working on multiple projects,
I want to organize my tasks automatically,
So I can focus on important work without feeling overwhelmed.Application:
- Identify the "job" customers hire your product for
- Understand context/situation (when)
- Define desired progress (outcome)
- Find competing solutions (alternatives)
- Design product around the job, not demographics
Interview Questions:
- "Tell me about the last time you [did this task]"
- "What were you trying to accomplish?"
- "What did you use? What didn't work?"
- "What would your ideal solution look like?"
框架:
当我处于[场景]时,
我想要[动机],
以便我能[预期结果]。示例:
当我同时处理多个项目时,
我希望能自动整理我的任务,
这样我就能专注于重要工作,不会感到不知所措。应用步骤:
- 识别客户“雇佣”产品来完成的“任务”
- 理解背景/场景(何时)
- 定义期望的进展(结果)
- 找到竞争解决方案(替代选项)
- 围绕任务而非人口统计数据设计产品
访谈问题:
- "告诉我你上次[执行此任务]的情况"
- "你当时想要达成什么目标?"
- "你用了什么方法?哪些方法没用?"
- "你理想的解决方案是什么样的?"
Persona Creation
用户画像创建
Persona Template:
Name: [Persona Name]
Demographics:
- Age: [Range]
- Location: [Where]
- Job Title: [Role]
- Income: [Range]
- Education: [Level]
Goals:
- Primary goal: [What they want to achieve]
- Secondary goals: [Additional objectives]
Pain Points:
- Pain 1: [Frustration, problem]
- Pain 2: [Challenge, obstacle]
- Pain 3: [Need, gap]
Behaviors:
- Shopping habits: [How they buy]
- Media consumption: [Where they spend time]
- Technology proficiency: [Skill level]
Motivations:
- [What drives them]
- [What they value]
Quote:
"[In their words, what matters most]"Types of Personas:
- Primary Persona: Main target user (design for them)
- Secondary Persona: Additional user types (accommodate)
- Anti-Persona: Who you're NOT building for (explicitly exclude)
用户画像模板:
姓名:[用户画像名称]
人口统计信息:
- 年龄:[范围]
- 所在地:[地区]
- 职位:[角色]
- 收入:[范围]
- 教育程度:[水平]
目标:
- 主要目标:[想要达成的核心内容]
- 次要目标:[其他目标]
痛点:
- 痛点1:[挫败感、问题]
- 痛点2:[挑战、障碍]
- 痛点3:[需求、缺口]
行为:
- 购物习惯:[购买方式]
- 媒体消费:[常关注的渠道]
- 技术熟练度:[技能水平]
动机:
- [驱动因素]
- [重视的内容]
用户语录:
"[用他们的话表达最在意的点]"用户画像类型:
- 核心用户画像:主要目标用户(围绕其设计)
- 次要用户画像:其他用户类型(需适配)
- 反向用户画像:明确不针对的用户群体(排除在外)
Customer Interview Best Practices
客户访谈最佳实践
Before Interview:
- Define research questions
- Create interview script
- Recruit right participants (6-10 for patterns)
- Prepare recording setup
During Interview:
- Ask open-ended questions
- Listen more than talk (80/20 rule)
- Dig deeper with "Why?" (5 Whys technique)
- Observe behavior, not just words
- Stay neutral, don't lead
After Interview:
- Transcribe and tag key quotes
- Identify patterns across interviews
- Synthesize insights
- Share findings with team
Good Questions:
✅ "Walk me through the last time you [did task]"
✅ "What frustrated you about that experience?"
✅ "How did you work around that problem?"
Bad Questions:
❌ "Would you use a feature that does X?" (Hypothetical)
❌ "Do you like our product?" (Leading, not actionable)
❌ "What features do you want?" (Users don't know)
访谈前:
- 定义研究问题
- 制定访谈脚本
- 招募合适的参与者(6-10人以发现规律)
- 准备录音设备
访谈中:
- 提出开放式问题
- 多听少说(80/20原则)
- 用“为什么?”深入挖掘(5Why技巧)
- 观察行为,而非只听表述
- 保持中立,不要引导
访谈后:
- 转录并标记关键语录
- 识别访谈中的共性规律
- 提炼洞察
- 与团队分享发现
优质问题:
✅ "带我回顾你上次[执行任务]的全过程"
✅ "那次体验中你遇到了什么挫败?"
✅ "你是如何解决那个问题的?"
不佳问题:
❌ "你会使用具备X功能的产品吗?"(假设性问题)
❌ "你喜欢我们的产品吗?"(引导性问题,无行动价值)
❌ "你想要什么功能?"(用户无法明确回答)
4. Product Strategy Frameworks
4. 产品策略框架
Blue Ocean Strategy
蓝海战略
Core Concept: Create uncontested market space instead of competing in "red oceans"
Four Actions Framework:
- Eliminate: Which factors can be removed?
- Reduce: Which factors should be reduced below industry standard?
- Raise: Which factors should be raised above industry standard?
- Create: Which factors should be created that industry never offered?
Example: Cirque du Soleil
- Eliminated: Animals, star performers, multiple rings
- Reduced: Humor, thrill/danger
- Raised: Artistic music/dance, unique venues
- Created: Theme, refined environment
核心概念: 创造无竞争的市场空间,而非在“红海”中竞争
四动作框架:
- 消除:哪些因素可以移除?
- 减少:哪些因素应降低到行业标准以下?
- 提升:哪些因素应提升到行业标准以上?
- 创造:哪些因素是行业从未提供过的,需要新增?
示例:太阳马戏团
- 消除:动物表演、明星演员、多个表演环
- 减少:幽默元素、惊险刺激程度
- 提升:艺术化的音乐/舞蹈、独特场地
- 创造:主题化演出、精致环境
Positioning Statement
定位声明
Template:
For [target customer]
Who [statement of need or opportunity],
[Product name] is a [product category]
That [key benefit, reason to buy].
Unlike [primary competitive alternative],
[Product name] [statement of primary differentiation].Example:
For busy professionals
Who need to stay productive across multiple projects,
TaskMaster is a smart task management app
That automatically organizes and prioritizes your work.
Unlike Todoist or Asana,
TaskMaster uses AI to learn your patterns and suggest optimal schedules.模板:
针对[目标客户]
他们[需求或机会描述],
[产品名称]是一款[产品类别]
能够[核心价值,购买理由]。
与[主要竞争产品]不同,
[产品名称][核心差异化描述]。示例:
针对忙碌的职场人士
他们需要在多个项目中保持高效,
TaskMaster是一款智能任务管理应用
能够自动整理并优先排序你的工作。
与Todoist或Asana不同,
TaskMaster使用AI学习你的工作模式,建议最优日程。Go-to-Market (GTM) Strategy
上市(GTM)策略
Key Components:
-
Target Market:
- TAM/SAM/SOM
- Beachhead market (initial focus)
- Expansion plan
-
Value Proposition:
- Core benefit
- Differentiation
- Proof points
-
Pricing Strategy:
- Pricing model (subscription, freemium, usage-based)
- Price points
- Competitive positioning
-
Distribution Channels:
- Direct vs indirect
- Online vs offline
- Partnerships
-
Marketing Mix:
- Content marketing
- SEO/SEM
- Social media
- PR and influencers
- Events and community
-
Sales Approach:
- Self-serve vs sales-assisted
- Trial strategy
- Onboarding plan
-
Success Metrics:
- Acquisition: CAC, conversion rates
- Activation: onboarding completion
- Engagement: DAU/MAU
- Retention: churn rate
- Revenue: LTV, MRR
关键组成部分:
-
目标市场:
- TAM/SAM/SOM(整体可触达市场/服务able可触达市场/可获得市场)
- 滩头市场(初始聚焦)
- 扩张计划
-
价值主张:
- 核心价值
- 差异化
- 证明点
-
定价策略:
- 定价模型(订阅、免费增值、按使用量付费)
- 价格点
- 竞争定位
-
分销渠道:
- 直接 vs 间接
- 线上 vs 线下
- 合作伙伴
-
营销组合:
- 内容营销
- SEO/SEM(搜索引擎优化/搜索引擎营销)
- 社交媒体
- PR与网红营销
- 活动与社区
-
销售方式:
- 自助服务 vs 销售协助
- 试用策略
- 新用户引导计划
-
成功指标:
- 获取:CAC(客户获取成本)、转化率
- 激活:新用户引导完成率
- 留存:日活/月活
- 收入:LTV(客户生命周期价值)、MRR(月度经常性收入)
5. Roadmap Planning
5. 路线图规划
Roadmap Types
路线图类型
Now-Next-Later Roadmap:
Now (Current Quarter):
- Feature A
- Feature B
Next (Next 1-2 Quarters):
- Feature C
- Feature D
Later (Future, 6+ months):
- Feature E
- Feature FBenefits: Flexible, acknowledges uncertainty
Theme-Based Roadmap:
Q1 2024: User Onboarding
Q2 2024: Power User Features
Q3 2024: Mobile Experience
Q4 2024: Enterprise CapabilitiesBenefits: Focuses on outcomes, not outputs
Feature-Based Roadmap:
Q1: Social Login, Profile Customization
Q2: Advanced Search, Filters
Q3: Mobile App (iOS), Push Notifications
Q4: Analytics Dashboard, Export ToolsBenefits: Clear deliverables, easy to communicate
Now-Next-Later路线图:
Now(当前季度):
- 功能A
- 功能B
Next(未来1-2个季度):
- 功能C
- 功能D
Later(未来6个月以上):
- 功能E
- 功能F优势:灵活,承认不确定性
主题型路线图:
2024年Q1:用户新手指引
2024年Q2:高级用户功能
2024年Q3:移动端体验
2024年Q4:企业级功能优势:聚焦结果,而非输出
功能型路线图:
Q1:社交登录、个人资料自定义
Q2:高级搜索、筛选器
Q3:iOS移动端应用、推送通知
Q4:分析仪表盘、导出工具优势:交付内容清晰,易于沟通
Roadmap Communication
路线图沟通
For Executives:
- Strategic themes
- Business impact
- Revenue opportunities
- Competitive positioning
For Sales:
- Customer-facing features
- Competitive advantages
- Timeline (quarters, not dates)
- Caveats about changes
For Engineering:
- Technical dependencies
- Architecture decisions
- Resource requirements
- Risk mitigation
For Customers:
- Value and benefits
- Use cases
- General timeframes (not promises)
- How to provide feedback
面向高管:
- 战略主题
- 业务影响
- 收入机会
- 竞争定位
面向销售团队:
- 面向客户的功能
- 竞争优势
- 时间线(按季度,而非具体日期)
- 关于变更的说明
面向研发团队:
- 技术依赖
- 架构决策
- 资源需求
- 风险缓解
面向客户:
- 价值与收益
- 使用场景
- 大致时间范围(不做承诺)
- 反馈渠道
6. Metrics and Analytics
6. 指标与分析
AARRR (Pirate Metrics)
AARRR(海盗指标)
Acquisition: Users discovering product
- Website visitors
- Sign-ups
- App downloads
- CAC (Customer Acquisition Cost)
Activation: Users having great first experience
- Onboarding completion rate
- Time to first value
- Aha moment achievement
Retention: Users coming back
- Day 1, 7, 30 retention
- DAU/MAU ratio
- Churn rate
Revenue: Monetization
- MRR/ARR
- ARPU
- LTV
- Conversion rate (free → paid)
Referral: Users telling others
- NPS
- Viral coefficient
- Referral rate
获取: 用户发现产品
- 网站访客
- 注册用户
- 应用下载量
- CAC(客户获取成本)
激活: 用户获得良好的首次体验
- 新用户引导完成率
- 首次价值获取时间
- “惊喜时刻”达成率
留存: 用户回访
- 1日、7日、30日留存率
- DAU/MAU比率
- 流失率
收入: 变现
- MRR/ARR(月度/年度经常性收入)
- ARPU(每用户平均收入)
- LTV(客户生命周期价值)
- 转化率(免费→付费)
推荐: 用户推荐他人
- NPS(净推荐值)
- 病毒系数
- 推荐率
Key Product Metrics
核心产品指标
Engagement:
- DAU (Daily Active Users)
- MAU (Monthly Active Users)
- DAU/MAU Ratio (Stickiness): Target 20%+
- Session length
- Session frequency
Growth:
- MoM (Month-over-Month) growth: Target 20%+ for startups
- Activation rate: Target 40%+ consumer, 60%+ B2B
- Viral coefficient (K-factor): >1 = viral growth
Business:
- MRR (Monthly Recurring Revenue)
- ARR (Annual Recurring Revenue)
- LTV (Lifetime Value)
- CAC (Customer Acquisition Cost)
- LTV/CAC Ratio: Target 3:1 or higher
- Payback Period: Target <12 months
- Gross Margin
Satisfaction:
- NPS (Net Promoter Score): 0-30 good, 30-70 great, 70+ excellent
- CSAT (Customer Satisfaction): Target 80%+
- CES (Customer Effort Score): Lower is better
参与度:
- DAU(日活跃用户)
- MAU(月活跃用户)
- DAU/MAU比率(粘性):目标20%+
- 会话时长
- 会话频率
增长:
- MoM(月度环比)增长:初创公司目标20%+
- 激活率:消费类产品目标40%+,B2B产品目标60%+
- 病毒系数(K-factor):>1 = 病毒式增长
业务:
- MRR(月度经常性收入)
- ARR(年度经常性收入)
- LTV(客户生命周期价值)
- CAC(客户获取成本)
- LTV/CAC比率:目标3:1或更高
- 回收期:目标<12个月
- 毛利率
满意度:
- NPS(净推荐值):0-30为良好,30-70为优秀,70+为卓越
- CSAT(客户满意度):目标80%+
- CES(客户努力得分):分数越低越好
How to Apply These Frameworks
如何应用这些框架
For Idea Validation
创意验证
- Use JTBD to understand customer needs
- Create personas for target users
- Conduct customer interviews
- Apply Blue Ocean strategy for differentiation
- 使用JTBD理解客户需求
- 为目标用户创建画像
- 开展客户访谈
- 应用蓝海战略实现差异化
For Prioritization
优先级排序
- List all potential features
- Calculate RICE scores
- Apply MoSCoW categorization
- Plot on Value vs Effort matrix
- Validate with customer feedback
- 列出所有潜在功能
- 计算RICE评分
- 应用MoSCoW分类
- 在价值vs投入矩阵上绘制
- 用客户反馈验证
For Goal Setting
目标设定
- Define North Star Metric
- Set quarterly OKRs
- Ensure goals are SMART
- Align team around objectives
- 定义北极星指标
- 设定季度OKR
- 确保目标符合SMART标准
- 围绕目标对齐团队
For Roadmap Planning
路线图规划
- Group features by theme
- Prioritize using RICE/MoSCoW
- Consider dependencies
- Use Now-Next-Later for flexibility
- Communicate with stakeholders
- 按主题分组功能
- 使用RICE/MoSCoW进行优先级排序
- 考虑依赖关系
- 使用Now-Next-Later路线图保持灵活性
- 与利益相关者沟通
For Metrics Tracking
指标跟踪
- Map product to AARRR funnel
- Identify key metrics for each stage
- Set targets based on benchmarks
- Build dashboards for monitoring
- Review weekly, adjust monthly
- 将产品映射到AARRR漏斗
- 确定每个阶段的核心指标
- 根据基准设定目标
- 构建监控仪表盘
- 每周回顾,每月调整
Quick Reference
快速参考
Prioritization Quick Decision Tree
优先级快速决策树
Is it critical for launch? → Yes → Must Have (P0)
→ No ↓
Does it have high RICE score (>100)? → Yes → Should Have (P1)
→ No ↓
Is it quick win (high value, low effort)? → Yes → Could Have (P2)
→ No → Won't Have (P3)是否为发布关键需求?→ 是 → 必须具备(P0)
→ 否 ↓
RICE评分是否高于100?→ 是 → 应该具备(P1)
→ 否 ↓
是否为快速制胜项(高价值、低投入)?→ 是 → 可以具备(P2)
→ 否 → 暂不具备(P3)Metric Selection Guide
指标选择指南
Early stage (0-1): Focus on Activation, Retention
Growth stage (1-10): Focus on Acquisition, Retention
Scale stage (10-100): Focus on Revenue, Referral早期阶段(0-1):聚焦激活、留存
增长阶段(1-10):聚焦获取、留存
规模化阶段(10-100):聚焦收入、推荐Interview Question Templates
访谈问题模板
Opening: "Tell me about yourself and your role"
Context: "Walk me through the last time you [did task]"
Problem: "What challenges did you face?"
Solution: "How did you solve it? What didn't work?"
Ideal: "What would your ideal experience look like?"
Closing: "Is there anything else you'd like to share?"开场:“介绍一下你自己和你的角色”
背景:“带我回顾你上次[执行任务]的全过程”
问题:“你遇到了哪些挑战?”
解决方案:“你是如何解决的?哪些方法没用?”
理想状态:“你理想的体验是什么样的?”
收尾:“你还有其他想分享的内容吗?”本知识库可作为参考,借助经过验证的框架和行业最佳实践为产品管理决策提供依据。
Usage Instructions
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When this Skill is activated, use the frameworks above to:
- Analyze situations using appropriate framework
- Provide structured guidance based on PM best practices
- Reference specific methodologies with examples
- Recommend approaches suited to the context
- Cite frameworks to establish credibility
Example Usage:
- User asks: "How should I prioritize these 10 features?"
- Response: Apply RICE scoring framework, then validate with MoSCoW method
- Provide step-by-step calculation example
- Recommend final prioritization with rationale
This knowledge base should be used as a reference to inform PM decisions with proven frameworks and industry best practices.
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