Metrics question
Being a hotel, travel and experience company, what data points will you leverage, how will you use them, and what business objectives would you want to achieve through data?
- Expedia
- Metrics
- Hard
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What this question tests
Tests metrics and data strategy thinking: identifying which data points actually matter for a travel business and tying them to business goals.
How to approach it
- Segment the data sources: booking behavior, on trip activity data, post trip reviews, and customer service interactions.
- Identify the business objectives data should serve: personalization to increase booking conversion, and demand forecasting for pricing and inventory.
- Propose specific data points: search to booking funnel drop off, repeat booking rate, and review sentiment by property or experience type.
- Connect each data point to an action, for example using search abandonment data to trigger targeted remarketing.
- Define success: incremental booking conversion or revenue per visitor attributable to data driven personalization.
- Confirm with the interviewer whether the focus is the hotel, travel, or experiences line of business.
What a strong answer includes
- Names concrete data points, search to booking funnel drop off and repeat booking rate, rather than a vague statement about using data.
- Ties data to a specific business objective, using search abandonment signals to power targeted remarketing that recovers lost bookings.
- Proposes using review sentiment data by property type to improve recommendation ranking, directly linking data quality to conversion.
- Sets a measurable goal, for example a stated increase in revenue per visitor from personalization within a defined period.
Common mistakes
- Listing generic data categories without connecting any of them to a specific business action or objective.
- Ignoring privacy and data governance considerations when discussing personal travel and behavioral data.
Likely follow-up questions
- How would you balance personalization with user privacy concerns?
- Which data point would you prioritize building first if resources were limited?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop