Predict Impact of 'Online Indicator' Feature

Q: Predict Impact of 'Online Indicator' Feature

This question evaluates a data scientist's competence in product analytics, experimentation design, uplift estimation, cohort segmentation, and monitoring of engagement and privacy-sensitive metrics.

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Question

LinkedIn Messaging: Online Presence Indicator — Analytics Design

Context

LinkedIn plans to display an online presence indicator (for example, a green dot) next to 1st-degree connections across key messaging surfaces. The goal is to increase messaging engagement and responsiveness without harming user trust or privacy. Assume we can toggle the feature at the user level and we log session activity, presence (online/offline) state, and messaging events across web and mobile.

Questions

Which user cohorts and behaviors are likely to be affected by this feature?
Propose a method to estimate the number of reachable users and the expected lift prior to launch.
How would you leverage analogous historical features to calibrate lift assumptions?
What key metrics and guardrails would you monitor during rollout?

Predict Impact of 'Online Indicator' Feature

LinkedIn Messaging: Online Presence Indicator — Analytics Design

Context

Questions

Solution

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Predict Impact of 'Online Indicator' Feature

Overview

LinkedIn Messaging: Online Presence Indicator — Analytics Design

Context

Questions

Solution

Comments (0)