Strategy question
Why did Instagram remove the like count on posts?
- Meta
- Strategy
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Understanding of a real product decision driven by user wellbeing over raw engagement metrics.
How to approach it
- Context: like counts were widely reported to drive social comparison and anxiety, especially among younger users (common knowledge context).
- Explain the tradeoff: like counts are a strong engagement and validation loop, but at a cost to user mental health and platform trust.
- Explain the strategic logic: removing public like counts reduces pressure to perform for likes, potentially improving authentic posting behavior.
- Note the business risk accepted: engagement per post might dip short term, but user trust and long-term retention were prioritized instead.
- Mention it was tested as an option rather than a blanket removal, giving users some control.
- Tie to outcome: a signal that platforms are willing to trade some engagement metrics for user wellbeing and brand trust.
What a strong answer includes
- Grounds the answer in the well known wellbeing rationale (common knowledge), not invented internal data.
- Explains the real tradeoff accepted, potential engagement dip for improved trust and long-term retention.
- Notes it was rolled out as an optional or tested change in some markets, showing nuance rather than an absolute claim.
Common mistakes
- Inventing specific internal statistics about the impact that were never publicly disclosed.
- Ignoring the wellbeing rationale entirely and guessing unrelated reasons.
- Treating it as a simple engagement optimization when it was explicitly a tradeoff against engagement.
Likely follow-up questions
- How would you measure whether this change actually improved user wellbeing?
- What would you do if engagement dropped more than expected after the change?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop