Diagnose a drop in NPS

Last updated: November 22, 2025

Quick Overview

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

NVIDIA
Product / Decision Making
Data Scientist
NVIDIA
November 22, 2025
Data Scientist
Phone Screen
Product / Decision Making
Medium

35

3

3,713 solved


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

This product question from NVIDIA's Phone Screen 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
  • Apply a structured framework for product thinking (user, problem, solution, metrics)
  • Segment users and identify differentiated needs
  • Prioritize features using a clear framework (RICE, ICE, impact vs effort)
  • Define comprehensive success metrics across the user funnel
  • Consider competitive dynamics and market positioning
Key Topics to Cover
Competitive analysis
User research and problem identification
Go-to-market strategy
Prioritization frameworks (RICE, ICE)
Data-informed decision making
Product strategy and vision
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 sequence the rollout across different user segments?
  • What competitive response would you expect and how would you prepare?
  • How would you decide to kill this feature if it's not working?
  • How would you handle pushback from engineering on feasibility?
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