Product Manager Toolkit Agent Skill

Product Manager Toolkit Skill

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