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

IntermediatePrefer not to say
May 2026

Summary

Asana PM interview, got a product metrics question dressed up in a silly wrapper. Pretty standard underneath the cat gif framing.

Questions Asked (1)

Q1

You're building CatGifs.com. How would you measure the site's performance?

Product Analytics & MetricsProduct Sense & Ideation
Author's notes

The cat gifs thing threw me for a second because I kept trying to make it mean something deeper.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the product's goal and target user, then define a North Star metric that captures core value. Structure your answer around a metrics hierarchy (acquisition, activation, engagement, retention, monetization, referral) and tie each metric to a specific product decision.

Pro tip: Emphasize that metrics should drive action: for each metric, state what you would do if it moved up or down. Also, mention the importance of guardrail metrics to avoid optimizing one area at the expense of another.

1. Clarify product goal and user

Ask clarifying questions to understand CatGifs.com's purpose (e.g., entertainment, social sharing) and primary user segment. This ensures metrics align with business objectives.

2. Define North Star metric

Choose a single metric that best captures the core value the product delivers, such as 'daily gifs viewed per user' or 'time spent laughing'.

3. Build a metrics hierarchy

Break down the North Star into input metrics across the user journey: acquisition (new users), activation (first gif view), engagement (gifs viewed/session), retention (return rate), monetization (ad revenue/ARPU), and referral (shares).

4. Prioritize and set targets

Identify which metrics are most critical at the current stage (e.g., early-stage focus on retention) and set realistic targets based on benchmarks or experiments.

5. Monitor and iterate

Describe how you would track metrics over time, run A/B tests, and use insights to inform product improvements, ensuring a feedback loop.

Key Points to Mention

  • North Star metric and why it matters
  • Acquisition, activation, engagement, retention, monetization, and referral metrics
  • Guardrail metrics to prevent negative side effects
  • Cohort analysis and retention curves
  • A/B testing and experimentation
  • Tying metrics to actionable product decisions

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