Product Manager Toolkit

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

Table of Contents

• - Quick Start
• Core Workflows

• - Tools Reference

• - Input/Output Examples
• Integration Points
• Common Pitfalls

Quick Start

For Feature Prioritization

For Interview Analysis

For PRD Creation

1. 1. Choose template from INLINECODE0
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

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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

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

Step 3: Analyze Portfolio

• - 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

• - [ ] 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

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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

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

• - [ ] 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

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Step 1: Choose Template

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

• - [ ] 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:
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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

Integration Points

Compatible tools and platforms:

JSON export enables integration with most tools:

# Export for Jira import
python scripts/rice_prioritizer.py features.csv --output json > priorities.json

# Export for dashboard
python scripts/customer_interview_analyzer.py interview.txt json > insights.json

Common Pitfalls to Avoid

Best Practices

Writing Great PRDs:

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

Effective Prioritization:

• - Mix quick wins with strategic bets
• Consider opportunity cost of delays
• Account for dependencies between features
• Buffer 20% for unexpected work
• Revisit priorities quarterly
• Communicate decisions with context

Customer Discovery:

• - Ask "why" five times to find root cause
• Focus on past behavior, not future intentions
• Avoid leading questions ("Wouldn't you love...")
• Interview in the user's natural environment
• Watch for emotional reactions (pain = opportunity)
• Validate qualitative with quantitative data

Quick Reference

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Reference Documents

• - references/prd_templates.md - PRD templates for different contexts
• INLINECODE6 - Detailed framework documentation (RICE, MoSCoW, Kano, JTBD, etc.)