Platform Launch Analyzer

A comprehensive assessment tool for evaluating platform business viability based on the Azoulay & Tucker Platform Strategy framework. This skill helps entrepreneurs make data-driven decisions about whether to pursue a platform strategy.

Quick Start

For a 5-minute viability check:

python scripts/quick_check.py

For a comprehensive assessment:

python scripts/platform_assessment.py --interactive

When to Use This Skill

Use this skill when:

Evaluating a new platform business idea
Deciding between platform vs. traditional business model
Preparing for investor pitches
Assessing competitive positioning
Identifying weaknesses in platform strategy
Planning platform launch sequence

Core Components

Assessment Scripts

Quick Check (5 minutes)

scripts/quick_check.py - Rapid pass/fail assessment covering:

Critical requirements (must-pass)
Major indicators (key success factors)
Red flags identification

Run this first to determine if deeper analysis is warranted.

Comprehensive Assessment (20 minutes)

scripts/platform_assessment.py - Detailed evaluation across six dimensions:

Core Definition (Coring) - Platform design quality
Network Effects - Growth potential
Seeding Strategy - Launch viability
Competitive Dynamics - Market positioning
Value Creation - Problem-solving clarity
Pricing Strategy - Monetization approach

Generates detailed report with:

Numerical scores by category
Specific strengths and risks
Strategic recommendations
Next steps guidance

Usage Modes

Interactive Mode (Recommended for first-time use):

python scripts/platform_assessment.py --interactive

Guides you through questions with explanations.

Batch Mode (For multiple assessments):

python scripts/platform_assessment.py --input assessment.json --output report.txt

Use templates in assets/ folder.

JSON Output (For integration):

python scripts/platform_assessment.py --input assessment.json --format json

Structured data for further analysis.

Reference Guides

Load these references when diving deep into specific areas:

Platform Design

references/coring_checklist.md - Comprehensive guide covering:

The 5 essential coring questions
Platform core coherence test
Governance design patterns
Control mechanisms
Common coring failures

Use when: Designing or refining platform core

Launch Strategy

references/seeding_strategies.md - Tactical playbook including:

Overcoming chicken-egg problem
Marquee user acquisition
Geographic concentration strategies
Stand-alone value creation
Incentive design
Industry-specific tactics

Use when: Planning go-to-market strategy

Competition Analysis

references/competitive_dynamics.md - Strategic framework covering:

WTAoM (Winner-Take-All or Most) assessment
Competitive tactics (offensive/defensive)
Tipping point indicators
Platform war patterns
Exit strategies

Use when: Analyzing competitive landscape

Assessment Examples

Using Templates

Copy template:

cp assets/assessment_template.json my_platform.json

Edit with your platform details
Run assessment:

python scripts/platform_assessment.py --input my_platform.json

Learning from Examples

Study successful platform assessments:

assets/example_airbnb.json - How AirBnB would score

Interpreting Results

Overall Scores

75-100%: Strong viability - proceed with confidence
60-74%: Moderate viability - address weaknesses first
45-59%: Questionable - significant challenges
<45%: Weak viability - reconsider platform approach

Category Thresholds

Critical categories (must score >50%):

Core Definition
Network Effects
Seeding Strategy

Important categories (should score >40%):

Competitive Dynamics
Value Creation
Pricing Strategy

Red Flags (Automatic Concerns)

Undefined platform sides
No solution to chicken-egg problem
Weak network effects
No differentiation from competitors
Unclear monetization path

Advanced Usage

Comparative Analysis

Run assessments for multiple variations:

# Assess marketplace model
python scripts/platform_assessment.py --input marketplace_model.json --output marketplace_report.txt

# Assess SaaS-platform hybrid
python scripts/platform_assessment.py --input hybrid_model.json --output hybrid_report.txt

Sensitivity Analysis

Test different scenarios:

Best case (strong network effects)
Base case (moderate assumptions)
Worst case (weak network effects)

Iteration Tracking

Save assessments over time:

# Name with dates
python scripts/platform_assessment.py --input platform.json --output reports/2024_01_assessment.txt

Decision Framework

Based on assessment results:

GREEN LIGHT (Score >75%)

Proceed with detailed business planning
Build MVP/prototype
Begin marquee user recruitment
Seek seed funding

YELLOW LIGHT (Score 60-74%)

Address identified weaknesses
Run focused experiments
Refine platform core
Re-assess in 30 days

RED LIGHT (Score <60%)

Consider pivot options
Evaluate traditional business model
Study successful platforms in space
Major redesign if proceeding

Best Practices

Before Assessment

Have clear platform concept
Identify both/all sides
Understand target users
Research competitors

During Assessment

Be honest about weaknesses
Don't inflate scores
Consider worst-case scenarios
Think 10x scale implications

After Assessment

Share report with advisors
Address weaknesses systematically
Re-assess after major changes
Track scores over time

Common Pitfalls

Platform Envy: Not every business should be a platform. Score <60% suggests traditional model may be better.

Core Lock-in: Platform cores are sticky. Design carefully before launch.

Subsidy Trap: Sustainable unit economics essential. Don't rely on endless subsidies.

Feature Creep: Focus on core interaction, not features.

Quick Reference Card

MUST HAVE:
✓ Clear sides definition
✓ Identified value unit  
✓ Network effects potential
✓ Chicken-egg solution
✓ Differentiation

WARNING SIGNS:
✗ 3+ sides at launch
✗ No stand-alone value
✗ Pure subsidy-based growth
✗ Commodity offering
✗ No control mechanisms

VALIDATION METHODS:
• Paper prototype test
• Wizard of Oz test
• Cohort analysis
• Unit economics model
• Competitive analysis