Strategy question

How you would prove the value of the Reactions feature? How would you decide whether to launch it or not?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Ability to design a pre-launch validation framework for a major feature, balancing qualitative signal with a quantitative launch decision.

Define the hypothesis: reactions beyond a single Like will increase engagement by letting users express nuanced sentiment.
Run a limited beta test in a subset of markets or user segments before a full launch.
Define success metrics: engagement rate on posts with reactions available versus Like-only posts, and diversity of reactions used.
Add a guardrail: comment volume, since reactions could reduce commenting if a reaction alone feels like enough expression.
Gather qualitative signal: user surveys on whether reactions felt more expressive and authentic.
Set a launch decision rule: ship broadly if engagement rises without cannibalizing comments and reactions show genuine diverse use.

Defines a specific, falsifiable hypothesis rather than a vague expectation, tightening the test design.
Names reaction diversity as a clever proxy metric capturing real expressive value, not just more clicks.
Adds comment volume as a cannibalization guardrail, a genuine risk with any lower-effort engagement option.
Combines quantitative metrics with qualitative user sentiment, appropriate for a feature about emotional expression.

Measuring only total engagement without checking for cannibalization of other engagement types.
Not defining a launch decision threshold before running the test.
Ignoring qualitative signal on whether the feature feels authentic to users.

How would you decide which reaction options to include based on this data?
What would you do if engagement rose but everyone used the same reaction as a Like substitute?
How would you roll this out globally after a successful beta?