Diagnose a drop in DAU

Last updated: May 6, 2026

Quick Overview

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

Dropbox
Product / Decision Making
Data Scientist
Dropbox
May 6, 2026
Data Scientist
Take-home Project
Product / Decision Making
Hard

8

6

695 solved


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

This product question from Dropbox'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
Competitive analysis
Prioritization frameworks (RICE, ICE)
Platform and network effects
Success metrics and KPIs
Product strategy and vision
User research and problem identification
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?
  • How would you validate this idea before committing engineering resources?
  • What would you do if usage data contradicts user feedback?
  • How would you decide to kill this feature if it's not working?
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