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Coinbase·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
Jun 2026

Summary

PM interview at Coinbase where I got a product metrics question about Airbnb's homepage. Pretty standard product sense round but the cross-company framing threw me a little.

Questions Asked (1)

Q1

What success metrics would you define for Airbnb's homepage?

Product Analytics & MetricsProduct Sense & Ideation
Author's notes

I went straight for booking conversion and blanked on the awareness/discovery side for longer than I'd like to admit.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the purpose of Airbnb's homepage—whether it's primarily for inspiration, search, or conversion—and then define metrics across the full user journey. Structure your answer around a metric framework like HEART or AARRR, ensuring you cover both business and user-centric outcomes.

Pro tip: Tie every metric back to a specific user behavior or business goal, and mention how you'd prioritize them (e.g., leading vs. lagging indicators) to show strategic thinking.

1. Clarify homepage goals

Ask clarifying questions to understand the homepage's primary objective (e.g., drive bookings, inspire exploration, or acquire new users) and the target audience.

2. Map user journey

Outline the key stages a user goes through on the homepage: landing, engagement, search, and conversion. Identify where the homepage directly influences each stage.

3. Select metric categories

Choose a framework like HEART (Happiness, Engagement, Adoption, Retention, Task Success) or AARRR (Acquisition, Activation, Retention, Referral, Revenue) to ensure comprehensive coverage.

4. Define specific metrics

For each category, propose 1-2 concrete metrics (e.g., search initiation rate, booking conversion rate, bounce rate) and explain how they relate to homepage success.

5. Prioritize and align

Prioritize metrics based on business impact and feasibility, and discuss how they ladder up to company-level goals like revenue or growth.

Key Points to Mention

  • North Star Metric: e.g., bookings or nights booked, and how homepage contributes
  • Engagement metrics: search initiation rate, click-through rate on destination cards, time to first interaction
  • Conversion metrics: booking conversion rate, drop-off rate at each step from homepage
  • User experience metrics: bounce rate, page load time, satisfaction (e.g., NPS or CSAT)
  • Retention and loyalty: repeat booking rate, return visits to homepage
  • Segmentation: new vs. returning users, host vs. guest, geographic differences

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