product-manager-toolkit

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: "product-manager-toolkit"
description: Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.
---

# Product Manager Toolkit

Essential tools and frameworks for modern product management, from discovery to delivery.

---

## Table of Contents

- [Quick Start](#quick-start)
- [Core Workflows](#core-workflows)
  - [Feature Prioritization](#feature-prioritization-process)
  - [Customer Discovery](#customer-discovery-process)
  - [PRD Development](#prd-development-process)
- [Tools Reference](#tools-reference)
  - [RICE Prioritizer](#rice-prioritizer)
  - [Customer Interview Analyzer](#customer-interview-analyzer)
- [Input/Output Examples](#inputoutput-examples)
- [Integration Points](#integration-points)
- [Common Pitfalls](#common-pitfalls-to-avoid)

---

## Quick Start

### For Feature Prioritization
```bash
# Create sample data file
python scripts/rice_prioritizer.py sample

# Run prioritization with team capacity
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
```

### For Interview Analysis
```bash
python scripts/customer_interview_analyzer.py interview_transcript.txt
```

### For PRD Creation
1. Choose template from `references/prd_templates.md`
2. Fill sections based on discovery work
3. Review with engineering for feasibility
4. Version control in project management tool

---

## Core Workflows

### Feature Prioritization Process

```
Gather → Score → Analyze → Plan → Validate → Execute
```

#### Step 1: Gather Feature Requests
- Customer feedback (support tickets, interviews)
- Sales requests (CRM pipeline blockers)
- Technical debt (engineering input)
- Strategic initiatives (leadership goals)

#### Step 2: Score with RICE
```bash
# Input: CSV with features
python scripts/rice_prioritizer.py features.csv --capacity 20
```

See `references/frameworks.md` for RICE formula and scoring guidelines.

#### Step 3: Analyze Portfolio
Review the tool output for:
- Quick wins vs big bets distribution
- Effort concentration (avoid all XL projects)
- Strategic alignment gaps

#### Step 4: Generate Roadmap
- Quarterly capacity allocation
- Dependency identification
- Stakeholder communication plan

#### Step 5: Validate Results
**Before finalizing the roadmap:**
- [ ] Compare top priorities against strategic goals
- [ ] Run sensitivity analysis (what if estimates are wrong by 2x?)
- [ ] Review with key stakeholders for blind spots
- [ ] Check for missing dependencies between features
- [ ] Validate effort estimates with engineering

#### Step 6: Execute and Iterate
- Share roadmap with team
- Track actual vs estimated effort
- Revisit priorities quarterly
- Update RICE inputs based on learnings

---

### Customer Discovery Process

```
Plan → Recruit → Interview → Analyze → Synthesize → Validate
```

#### Step 1: Plan Research
- Define research questions
- Identify target segments
- Create interview script (see `references/frameworks.md`)

#### Step 2: Recruit Participants
- 5-8 interviews per segment
- Mix of power users and churned users
- Incentivize appropriately

#### Step 3: Conduct Interviews
- Use semi-structured format
- Focus on problems, not solutions
- Record with permission
- Take minimal notes during interview

#### Step 4: Analyze Insights
```bash
python scripts/customer_interview_analyzer.py transcript.txt
```

Extracts:
- Pain points with severity
- Feature requests with priority
- Jobs to be done patterns
- Sentiment and key themes
- Notable quotes

#### Step 5: Synthesize Findings
- Group similar pain points across interviews
- Identify patterns (3+ mentions = pattern)
- Map to opportunity areas using Opportunity Solution Tree
- Prioritize opportunities by frequency and severity

#### Step 6: Validate Solutions
**Before building:**
- [ ] Create sol