Market Sizing Methodology, Case Interview Frameworks, and Design Evaluation Standards
Quantitative Market Sizing Methodology
Core Objective: Evaluates structured analytical reasoning, comfort with ambiguity, and clear communication over exact numerical precision.
Simplifying Assumptions: Establish boundary cases (e.g., to adoption) and simplify age brackets (e.g., ) to streamline mental math.
Bottom-Up Model:
Baseline: residents/city across target US cities.
Adoption: ride-share adoption autonomous adoption Waymo share = net share ( riders/city).
Annual Volume: total riders trips/year = rides/year (underestimate due to conservative city counts and sizes).
Top-Down Model:
Baseline: US population urban = (rounded to ).
Adoption: riders.
Annual Volume: trips/year = rides/year.
Market Sizing Best Practices
Consumer Rationale: Provide explicit real-world logic for every assumed percentage or threshold.
Directional Bias: Clearly identify if the model output represents an overestimate or an underestimate.
Execution & Frameworks: Write down intermediate calculation steps and stick to standard frameworks (Top-Down or Bottom-Up).
Strategic Case Analysis: Customer Retention & Market Expansion
Retention Strategies: Mitigate safety concerns with AI safety comparative data and optimize fleet dispatch wait times.
MECE Framework:
User Engagement: Loyalty programs and automated re-engagement notifications.
Strategic Partnerships: Integrations with venue hubs, airports, and mapping platforms.
Value-Add & Positioning: Marketing centered on safety, productivity, and convenience.
Alternative Frameworks: 4 Ps (Product, Price, Place, Promotion) and Push vs. Pull dynamics.
Geographic Expansion: Target regions with severe weather, low sidewalk infrastructure/walkability, and address luxury perceptions through value retail partnerships.
Case Resolution: Validate prompt alignment, summarize core pillars, and highlight operational risks and failure modes.
Interview Execution & Design Evaluation Standards
Core Principles: Maintain strict MECE discipline, structure responses on paper, and use empirical evidence.
Design Parsing (Wayfair Case): Balance navigation features against content overload; focus on critical design reasoning over personal preference.
Design Thinking Framework: Empathize Define Ideate Prototype Test.