Diagnose a drop in DAU
Last updated: August 10, 2025
Quick Overview
The engagement dropped by 15% this week. Walk through your investigation process.
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The engagement dropped by 15% this week. Walk through your investigation process.
This product question from LinkedIn's Take-home Project goes beyond feature brainstorming. The interviewer expects a framework-driven approach that considers market dynamics, user segmentation, and data-informed decision making.
What the Interviewer Expects
- Demonstrate strategic product thinking beyond feature-level decisions
- Analyze second-order effects and long-term ecosystem impact
- Balance multiple stakeholder needs with clear trade-off rationale
- Design experiments to validate key assumptions before building
- Consider platform effects, network effects, and marketplace dynamics
- Propose a phased rollout strategy with go/no-go criteria
Key Topics to Cover
How to Approach This
- Start with the user. Who are they, what problem do they have, and what is their current workaround?
- Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
- Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
- Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
- How would you sequence the rollout across different user segments?
- What competitive response would you expect and how would you prepare?
- What would you do if usage data contradicts user feedback?
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Browse Product QuestionsSample Answer
Problem Framing
To address the 15% drop in Daily Active Users (DAU) on LinkedIn, I would begin by framing the problem through a systematic investigation of user behavior changes. This involves segmenting the user bas...
User & Market Context
The primary users of LinkedIn are professionals seeking career opportunities, recruiters looking for talent, and content creators aiming to share insights and grow their networks. During periods of ec...
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