← Expedia Interview Insights

Expedia·Product Manager·Hiring Manager Screen·Intermediate

Intermediate
May 2026

Summary

Interviewed at Expedia, got hit with a classic market sizing question about NYC hotel rooms. Pretty short interaction, nothing too wild.

Questions Asked (1)

Q1

How many hotel rooms are there in New York City?

Product Analytics & MetricsProduct Sense & Ideation
Author's notes

Market sizing.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Break the problem into demand and supply sides: estimate the number of visitors and locals needing hotel rooms, then estimate average occupancy and room supply. Use a top-down approach with clear assumptions and round numbers to simplify calculations.

Pro tip: State your assumptions explicitly and sanity-check your final number against known benchmarks (e.g., NYC has ~120,000 hotel rooms). This shows you can validate estimates with real-world knowledge.

1. Clarify the scope

Confirm whether the question refers to all five boroughs, only Manhattan, or includes short-term rentals. Assume all five boroughs and traditional hotels unless specified otherwise.

2. Estimate demand

Calculate annual visitor volume (e.g., ~60 million tourists/year) and average length of stay (e.g., 3 nights) to get total room-nights demanded. Add local demand from staycations or business travelers.

3. Estimate supply

Use average occupancy rate (e.g., 80%) to convert room-nights demanded into required room supply. Alternatively, estimate from hotel count and average rooms per hotel.

4. Sanity-check and refine

Compare your estimate to known figures (e.g., NYC has about 120,000 hotel rooms) and adjust assumptions if needed. Discuss potential sources of error.

Key Points to Mention

  • Segmentation of demand: tourists vs. business travelers vs. locals
  • Average length of stay and occupancy rates
  • Seasonality and its impact on room supply
  • Alternative accommodations (Airbnb) and their effect on hotel demand
  • Data sources: NYC tourism reports, hotel association statistics
  • Rounding and simplifying assumptions for mental math

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.