Evaluating and launching Instagram Stories

Q: Evaluating and launching Instagram Stories

This question evaluates a data scientist's competency in product analytics, experimentation design, launch metric definition, and causal attribution for feature cannibalization across two social apps, and sits in the Analytics & Experimentation domain for a Data Scientist role.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

Context

You are evaluating the rollout and impact of Stories, an ephemeral sharing format similar to Snapchat, across two apps: Instagram and Facebook. Stories may increase engagement but could cannibalize Feed posts. You are asked to define evaluation criteria, launch decisions, mitigation strategies for cannibalization, and explain cross‑app performance gaps, including an experiment design.

Questions

How would you evaluate Instagram Stories? (Hint: DAU lift, posting frequency, interaction time)
What criteria decide a full launch? (Hint: pilot KPIs, competitor benchmarks)
If Stories cannibalize Feed posts, how would you respond? (Hint: offset metrics, incremental revenue)
Facebook Stories views are half Instagram’s—why? Design an experiment. (Hint: audience mix, product positioning)

Evaluating and launching Instagram Stories

Context

Questions

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Evaluating and launching Instagram Stories

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Context

Questions

Solution

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