← instagram Interview Insights

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

Intermediate
Jun 2026

Summary

Interviewed for a PM role at Instagram and got hit with a product strategy question about one of their more controversial decisions. Short post but the question itself took some real thinking.

Questions Asked (1)

Q1

Why did Instagram decide to hide the like count from posts, and how would you evaluate whether it was the right call?

Product StrategyProduct Analytics & MetricsA/B Testing & Experimentation
Author's notes

I went straight to the user wellbeing angle because that's the obvious one, but I think I leaned on it too hard without grounding it in metrics.

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AI HintsAI Generated

Suggested Approach

Start by explaining Instagram's strategic rationale for hiding likes, focusing on user well-being, mental health, and shifting focus from popularity to content. Then, outline a structured evaluation plan using metrics like engagement, user sentiment, and retention, and discuss how you would design an A/B test to measure the impact.

Pro tip: Acknowledge the trade-offs: hiding likes may reduce social comparison but could also decrease engagement for influencers and advertisers. Show you understand the business implications and how to balance them.

1. Understand the rationale

Explain Instagram's stated reasons: reducing social pressure, improving mental health, and encouraging users to focus on content rather than likes. Mention the broader industry trend and regulatory pressure.

2. Define success metrics

Identify key metrics to evaluate the change: user engagement (likes, comments, shares), time spent, retention, user sentiment (surveys), and creator/business impact (reach, engagement rates).

3. Design an experiment

Propose an A/B test where some users see like counts and others don't. Ensure randomization, control for confounders, and measure both short-term and long-term effects.

4. Analyze results and trade-offs

Compare metrics between control and test groups. Consider qualitative feedback and segment analysis (e.g., by user type, region). Weigh benefits (well-being) against potential negatives (engagement drop).

5. Make a recommendation

Based on data, decide if the change is net positive. Suggest iterations or alternatives (e.g., optional hiding, different metrics) if needed.

Key Points to Mention

  • Social comparison theory and mental health concerns
  • Impact on influencer marketing and advertiser metrics
  • A/B testing methodology and statistical significance
  • User engagement metrics (likes, comments, shares, time spent)
  • Qualitative user feedback and sentiment analysis
  • Long-term vs short-term effects and potential unintended consequences

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