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Google·Product Manager·Onsite - Product Sense / Strategy·Intermediate

Intermediate
May 2026

Summary

Google PM interview with a Spotify-as-the-product metrics question. Not a ton of context to go on, but it's the kind of question that sounds easy until you're actually in the room trying to decide what matters.

Questions Asked (1)

Q1

If you were the PM for Spotify, what metrics would you prioritize and why?

Product Analytics & MetricsProduct Strategy
Author's notes

My first instinct was to go straight to MAUs and skip count, which in hindsight was pretty surface level.

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AI HintsAI Generated

Suggested Approach

Start by clarifying Spotify's business model and strategic goals, then define a metric framework that balances user engagement, monetization, and content ecosystem health. Prioritize metrics based on the current product lifecycle stage and company objectives, and explain how they interconnect to drive sustainable growth.

Pro tip: Avoid listing metrics in isolation; instead, show how they form a system where improving one can impact others, and tie them to Spotify's North Star metric like 'time spent listening' or 'premium subscriber growth'.

1. Clarify Business Context

Briefly state Spotify's core business: ad-supported free tier and premium subscriptions, with content costs from licensing. This sets the stage for metric selection.

2. Define North Star Metric

Propose a North Star metric that captures the value Spotify delivers to users and the business, such as 'Total Listening Hours' or 'Premium Subscriber Lifetime Value'.

3. Select Supporting Metrics

Choose 3-4 key metrics across acquisition, engagement, monetization, and retention that support the North Star, explaining why each matters.

4. Prioritize Based on Strategic Goals

Explain how you would prioritize these metrics given Spotify's current focus, e.g., growing premium subscribers vs. increasing ad revenue, and how priorities might shift over time.

5. Discuss Trade-offs and Interconnections

Acknowledge potential trade-offs, such as increasing ad load may boost short-term revenue but hurt user experience, and show how metrics interact.

Key Points to Mention

  • North Star Metric: e.g., Total Listening Hours or Premium Subscriber Growth
  • Engagement Metrics: Daily Active Users (DAU), Monthly Active Users (MAU), Time Spent Listening, Session Frequency
  • Monetization Metrics: Conversion Rate (Free to Premium), Average Revenue Per User (ARPU), Ad Revenue per User, Churn Rate
  • Content Metrics: Playlist Adds, Skip Rate, Artist Diversity, Podcast Engagement
  • Retention Metrics: Cohort Retention, Customer Lifetime Value (CLV)
  • Trade-offs: Balancing ad load with user experience, and free vs. premium features

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