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 for feature prioritization, user research synthesis, requirement documentation, and product strategy development.

Product Manager Toolkit

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

Quick Start

For Feature Prioritization

python scripts/rice_prioritizer.py sample  # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15

For Interview Analysis

python scripts/customer_interview_analyzer.py interview_transcript.txt

For PRD Creation

Choose template from references/prd_templates.md
Fill in sections based on discovery work
Review with stakeholders
Version control in your PM tool

Core Workflows

Feature Prioritization Process

Gather Feature Requests
- Customer feedback
- Sales requests
- Technical debt
- Strategic initiatives
Score with RICE
```
# Create CSV with: name,reach,impact,confidence,effort
python scripts/rice_prioritizer.py features.csv
```
- Reach: Users affected per quarter
- Impact: massive/high/medium/low/minimal
- Confidence: high/medium/low
- Effort: xl/l/m/s/xs (person-months)
Analyze Portfolio
- Review quick wins vs big bets
- Check effort distribution
- Validate against strategy
Generate Roadmap
- Quarterly capacity planning
- Dependency mapping
- Stakeholder alignment

Customer Discovery Process

Conduct Interviews
- Use semi-structured format
- Focus on problems, not solutions
- Record with permission
Analyze Insights
```
python scripts/customer_interview_analyzer.py transcript.txt
```
Extracts:
- Pain points with severity
- Feature requests with priority
- Jobs to be done
- Sentiment analysis
- Key themes and quotes
Synthesize Findings
- Group similar pain points
- Identify patterns across interviews
- Map to opportunity areas
Validate Solutions
- Create solution hypotheses
- Test with prototypes
- Measure actual vs expected behavior

PRD Development Process

Choose Template
- Standard PRD: Complex features (6-8 weeks)
- One-Page PRD: Simple features (2-4 weeks)
- Feature Brief: Exploration phase (1 week)
- Agile Epic: Sprint-based delivery
Structure Content
- Problem → Solution → Success Metrics
- Always include out-of-scope
- Clear acceptance criteria
Collaborate
- Engineering for feasibility
- Design for experience
- Sales for market validation
- Support for operational impact

Key Scripts

rice_prioritizer.py

Advanced RICE framework implementation with portfolio analysis.

Features:

RICE score calculation
Portfolio balance analysis (quick wins vs big bets)
Quarterly roadmap generation
Team capacity planning
Multiple output formats (text/json/csv)

Usage Examples:

# Basic prioritization
python scripts/rice_prioritizer.py features.csv

# With custom team capacity (person-months per quarter)
python scripts/rice_prioritizer.py features.csv --capacity 20

# Output as JSON for integration
python scripts/rice_prioritizer.py features.csv --output json

customer_interview_analyzer.py

NLP-based interview analysis for extracting actionable insights.

Capabilities:

Pain point extraction with severity assessment
Feature request identification and classification
Jobs-to-be-done pattern recognition
Sentiment analysis
Theme extraction
Competitor mentions
Key quotes identification

Usage Examples:

# Analyze single interview
python scripts/customer_interview_analyzer.py interview.txt

# Output as JSON for aggregation
python scripts/customer_interview_analyzer.py interview.txt json

Reference Documents

prd_templates.md

Multiple PRD formats for different contexts:

Standard PRD Template
- Comprehensive 11-section format
- Best for major features
- Includes technical specs
One-Page PRD
- Concise format for quick alignment
- Focus on problem/solution/metrics
- Good for smaller features
Agile Epic Template
- Sprint-based delivery
- User story mapping
- Acceptance criteria focus
Feature Brief
- Lightweight exploration
- Hypothesis-driven
- Pre-PRD phase

Prioritization Frameworks

RICE Framework

Score = (Reach × Impact × Confidence) / Effort

Reach: # of users/quarter
Impact: 
  - Massive = 3x
  - High = 2x
  - Medium = 1x
  - Low = 0.5x
  - Minimal = 0.25x
Confidence:
  - High = 100%
  - Medium = 80%
  - Low = 50%
Effort: Person-months

Value vs Effort Matrix

         Low Effort    High Effort
         
High     QUICK WINS    BIG BETS
Value    [Prioritize]   [Strategic]
         
Low      FILL-INS      TIME SINKS
Value    [Maybe]       [Avoid]

MoSCoW Method

Must Have: Critical for launch
Should Have: Important but not critical
Could Have: Nice to have
Won't Have: Out of scope

Discovery Frameworks

Customer Interview Guide

1. Context Questions (5 min)
   - Role and responsibilities
   - Current workflow
   - Tools used

2. Problem Exploration (15 min)
   - Pain points
   - Frequency and impact
   - Current workarounds

3. Solution Validation (10 min)
   - Reaction to concepts
   - Value perception
   - Willingness to pay

4. Wrap-up (5 min)
   - Other thoughts
   - Referrals
   - Follow-up permission

Hypothesis Template

We believe that [building this feature]
For [these users]
Will [achieve this outcome]
We'll know we're right when [metric]

Opportunity Solution Tree

Outcome
├── Opportunity 1
│   ├── Solution A
│   └── Solution B
└── Opportunity 2
    ├── Solution C
    └── Solution D

Metrics & Analytics

North Star Metric Framework

Identify Core Value: What's the #1 value to users?
Make it Measurable: Quantifiable and trackable
Ensure It's Actionable: Teams can influence it
Check Leading Indicator: Predicts business success

Funnel Analysis Template

Acquisition → Activation → Retention → Revenue → Referral

Key Metrics:
- Conversion rate at each step
- Drop-off points
- Time between steps
- Cohort variations

Feature Success Metrics

Adoption: % of users using feature
Frequency: Usage per user per time period
Depth: % of feature capability used
Retention: Continued usage over time
Satisfaction: NPS/CSAT for feature

Best Practices

Writing Great PRDs

Start with the problem, not solution
Include clear success metrics upfront
Explicitly state what's out of scope
Use visuals (wireframes, flows)
Keep technical details in appendix
Version control changes

Effective Prioritization

Mix quick wins with strategic bets
Consider opportunity cost
Account for dependencies
Buffer for unexpected work (20%)
Revisit quarterly
Communicate decisions clearly

Customer Discovery Tips

Ask "why" 5 times
Focus on past behavior, not future intentions
Avoid leading questions
Interview in their environment
Look for emotional reactions
Validate with data

Stakeholder Management

Identify RACI for decisions
Regular async updates
Demo over documentation
Address concerns early
Celebrate wins publicly
Learn from failures openly

Common Pitfalls to Avoid

Solution-First Thinking: Jumping to features before understanding problems
Analysis Paralysis: Over-researching without shipping
Feature Factory: Shipping features without measuring impact
Ignoring Technical Debt: Not allocating time for platform health
Stakeholder Surprise: Not communicating early and often
Metric Theater: Optimizing vanity metrics over real value

Integration Points

This toolkit integrates with:

Analytics: Amplitude, Mixpanel, Google Analytics
Roadmapping: ProductBoard, Aha!, Roadmunk
Design: Figma, Sketch, Miro
Development: Jira, Linear, GitHub
Research: Dovetail, UserVoice, Pendo
Communication: Slack, Notion, Confluence

Quick Commands Cheat Sheet

# Prioritization
python scripts/rice_prioritizer.py features.csv --capacity 15

# Interview Analysis
python scripts/customer_interview_analyzer.py interview.txt

# Create sample data
python scripts/rice_prioritizer.py sample

# JSON outputs for integration
python scripts/rice_prioritizer.py features.csv --output json
python scripts/customer_interview_analyzer.py interview.txt json

product-manager-toolkit

Install Skill

SKILL.md