Evaluates LinkedIn newsfeed health through engagement, quality, trust, ecosystem, and revenue metrics. Strong answers distinguish short-term spikes from durable value and design causal analyses for product changes.
Scenario:
Evaluate the health of LinkedIn's Newsfeed feature.
Question 1:
What engagement and revenue metrics would you track at daily and monthly granularity?
Question 2:
How would you distinguish short‑term engagement spikes from sustainable quality improvements?
Question 3:
Design an analysis to attribute specific feed changes to metric movements.
Question 4:
How would you balance time‑spent with user satisfaction and long‑term retention?
Quick Answer: Evaluates LinkedIn newsfeed health through engagement, quality, trust, ecosystem, and revenue metrics. Strong answers distinguish short-term spikes from durable value and design causal analyses for product changes.
You are assessing the health of LinkedIn's personalized newsfeed. Assume you can track user-, session-, and impression-level events such as views, dwell time, reactions, comments, shares, hides, ad impressions, survey feedback, and feed-ad revenue.
The goal is to monitor health, separate transient spikes from durable improvements, attribute changes to product updates, and optimize for long-term member value.
Constraints & Assumptions
Include engagement, quality, trust, ecosystem, and revenue metrics.
Track daily operational metrics and monthly durability metrics.
Avoid optimizing short-term engagement at the expense of member value.
Include causality and product decision-making.
Clarifying Questions to Ask Guidance
What feed surfaces are in scope: mobile, web, homepage, notifications, or ads?
What member segments matter most?
What product changes are suspected to affect feed health?
Which revenue metrics are guardrails versus primary goals?
Part 1 - Metrics
Which engagement and revenue metrics would you track at daily and monthly granularity?
What This Part Should Cover Guidance
Daily: DAU, feed sessions, impressions, depth, dwell time, reactions, comments, shares, hides, reports, follows, ad impressions, CTR, revenue, latency, and errors.