Diagnose a drop in NPS
Last updated: November 1, 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 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
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
- What competitive response would you expect and how would you prepare?
- 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?
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Browse Product QuestionsSample Answer
Problem Framing
To diagnose the 15% drop in NPS at LinkedIn, we must first conduct a thorough analysis of the user engagement data from the past week. This includes identifying which segments of users (e.g., job seek...
User & Market Context
LinkedIn's primary users include professionals seeking job opportunities, recruiters looking for candidates, and users engaged in networking and content sharing. For these users, factors such as the r...
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