Diagnose a drop in DAU

Last updated: March 26, 2026

Quick Overview

The engagement dropped by 15% this week. Walk through your investigation process.

Anduril
Product / Decision Making
Data Scientist
Anduril
March 26, 2026
Data Scientist
Onsite
Product / Decision Making
Hard

182

4

3,190 solved


The engagement dropped by 15% this week. Walk through your investigation process.

Anduril asks this during the Onsite to assess your product sense and structured thinking. They want to see how you define the problem, identify the target user, prioritize features, and measure success.

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
Competitive analysis
Data-informed decision making
Success metrics and KPIs
Platform and network effects
How to Approach This
  1. Start with the user. Who are they, what problem do they have, and what is their current workaround?
  2. Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
  3. Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
  4. Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
  • How would you handle pushback from engineering on feasibility?
  • What would you do if usage data contradicts user feedback?
  • How would you validate this idea before committing engineering resources?
  • How would you sequence the rollout across different user segments?
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Sample Answer
Problem Framing

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