product-manager-toolkit▌
borghei/claude-skills · updated Apr 8, 2026
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Essential tools and frameworks for modern product management, from discovery to delivery.
Product Manager Toolkit
Essential tools and frameworks for modern product management, from discovery to delivery.
Table of Contents
Quick Start
For Feature Prioritization
# 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
python scripts/customer_interview_analyzer.py interview_transcript.txt
For PRD Creation
- Choose template from
references/prd_templates.md - Fill sections based on discovery work
- Review with engineering for feasibility
- 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
# 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
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 solution hypotheses (see
references/frameworks.md) - Test with low-fidelity prototypes
- Measure actual behavior vs stated preference
- Iterate based on feedback
- Document learnings for future research
PRD Development Process
Scope → Draft → Review → Refine → Approve → Track
Step 1: Choose Template
Select from references/prd_templates.md:
| Template | Use Case | Timeline |
|---|---|---|
| Standard PRD | Complex features, cross-team | 6-8 weeks |
| One-Page PRD | Simple features, single team | 2-4 weeks |
| Feature Brief | Exploration phase | 1 week |
| Agile Epic | Sprint-based delivery | Ongoing |
Step 2: Draft Content
- Lead with problem statement
- Define success metrics upfront
- Explicitly state out-of-scope items
- Include wireframes or mockups
Step 3: Review Cycle
- Engineering: feasibility and effort
- Design: user experience gaps
- Sales: market validation
- Support: operational impact
Step 4: Refine Based on Feedback
- Address technical constraints
- Adjust scope to fit timeline
- Document trade-off decisions
Step 5: Approval and Kickoff
- Stakeholder sign-off
- Sprint planning integration
- Communication to broader team
Step 6: Track Execution
After launch:
- Compare actual metrics vs targets
- Conduct user feedback sessions
- Document what worked and what didn't
- Update estimation accuracy data
- Share learnings with team
Tools Reference
RICE Prioritizer
Advanced RICE framework implementation with portfolio analysis.
Features:
- RICE score calculation with configurable weights
- Portfolio balance analysis (quick wins vs big bets)
- Quarterly roadmap generation based on capacity
- Multiple output formats (text, JSON, CSV)
CSV Input Format:
name,reach,impact,confidence,effort,description
User Dashboard Redesign,5000,high,high,l,Complete redesign
Mobile Push Notifications,10000,massive,medium,m,Add push support
Dark Mode,8000,medium,high,s,Dark theme option
Commands:
# Create sample data
python scripts/rice_prioritizer.py sample
# Run with default capacity (10 person-months)
python scripts/rice_prioritizer.py features.csv
# Custom capacity
python scripts/rice_prioritizer.py features.csv --capacity 20
# JSON output for integration
python scripts/rice_prioritizer.py features.csv --output json
# CSV output for spreadsheets
python scripts/rice_prioritizer.py features.csv --output csv
Customer Interview Analyzer
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 per section
- Theme and quote extraction
- Competitor mention detection
Commands:
# Analyze interview transcript
python scripts/customer_interview_analyzer.py interview.txt
# JSON output for aggregation
python scripts/customer_interview_analyzer.py interview.txt json
Input/Output Examples
RICE Prioritizer Example
Input (features.csv):
name,reach,impact,confidence,effort
Onboarding Flow,20000,massive,high,s
Search Improvements,15000,high,high,m
Social Login,12000,high,medium,m
Push Notifications,10000,massive,medium,m
Dark Mode,8000,medium,high,s
Command:
python scripts/rice_prioritizer.py features.csv --capacity 15
Output:
============================================================
RICE PRIORITIZATION RESULTS
============================================================
📊 TOP PRIORITIZED FEATURES
1. Onboarding Flow
RICE Score: 16000.0
Reach: 20000 | Impact: massive | Confidence: high | Effort: s
2. Search Improvements
RICE Score: 4800.0
Reach: 15000 | Impact: high | Confidence: high | Effort: m
3. Social Login
RICE Score: 3072.0
Reach: 12000 | Impact: high | Confidence: medium | Effort: m
4. Push Notifications
RICE Score: 3840.0
Reach: 10000 | Impact: massive | Confidence: medium | Effort: m
5. Dark Mode
RICE Score: 2133.33
Reach: 8000 | Impact: medium | Confidence: high | Effort: s
📈 PORTFOLIO ANALYSIS
Total Features: 5
Total Effort: 19 person-months
Total Reach: 65,000 users
Average RICE Score: 5969.07
🎯 Quick Wins: 2 features
• Onboarding Flow (RICE: 16000.0)
• Dark Mode (RICE: 2133.33)
🚀 Big Bets: 0 features
📅 SUGGESTED ROADMAP
Q1 - Capacity: 11/15 person-months
• Onboarding Flow (RICE: 16000.0)
• Search Improvements (RICE: 4800.0)
• Dark Mode (RICE: 2133.33)
Q2 - Capacity: 10/15 person-months
• Push Notifications (RICE: 3840.0)
• Social Login (RICE: 3072.0)
Customer Interview Analyzer Example
Input (interview.txt):
Customer: Jane, Enterprise PM at TechCorp
Date: 2024-01-15
Interviewer: What's the hardest part of your current workflow?
Jane: The biggest frustration is the lack of real-time collaboration.
When I'm working on a PRD, I have to constantly ping my team on Slack
to get updates. It's really frustrating to wait for responses,
especially when we're on a tight deadline.
I've tried using Google Docs for collaboration, but it doesn't
integrate with our roadmap tools. I'd pay extra for something that
just worked seamlessly.
Interviewer: How often does this happen?
Jane: Literally every day. I probably waste 30 minutes just on
back-and-forth messages. It's my biggest pain point right now.
Command:
python scripts/customer_interview_analyzer.py interview.txt
Output:
============================================================
CUSTOMER INTERVIEW ANALYSIS
============================================================
📋 INTERVIEW METADATA
Segments found: 1
Lines analyzed: 15
😟 PAIN POINTS (3 found)
1. [HIGH] Lack of real-time collaboration
"I have to constantly ping my team on Slack to get updates"
2. [MEDIUM] Tool integration gaps
"Google Docs...doesn't integrate with our roadmap tools"
3. [HIGH] Time wasted on communication
"waste 30 minutes just on back-and-forth messages"
💡 FEATURE REQUESTS (2 found)
1. Real-time collaboration - Priority: High
2. Seamless tool integration - Priority: Medium
🎯 JOBS TO BE DONE
When working on PRDs with tight deadlines
I want real-time visibility into team updates
So I can avoid wasted time on status checks
📊 SENTIMENT ANALYSIS
Overall: Negative (pain-focused interview)
Key emotions: Frustration, Time pressure
💬 KEY QUOTES
• "It's really frustrating to wait for responses"
• "I'd pay extra for something that just worked seamlessly"
• "It's my biggest pain point right now"
🏷️ THEMES
- Collaboration friction
- Tool fragmentation
- Time efficiency
Integration Points
Compatible tools and platforms:
| Category | Platforms |
|---|---|
| Analytics | Amplitude, Mixpanel, Google Analytics |
| Roadmapping | ProductBoard, Aha!, Roadmunk, Productplan |