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Uncover User Needs for Group Calling Effectively

MetaData Scientist · Technical Screen

Last updated

Meta product analytics prompt on group calling, covering user-needs surveys, competitor benchmarking without direct data, experiment design, network effects, contamination, metrics, and guardrails.

Scenario

You are the product analyst for a messaging platform planning to introduce a group-calling capability.

Question

What survey questions would you ask current and potential users to uncover their needs for group calling?

How would you benchmark competitor adoption of group calls when you lack direct access to their data?

Propose an experiment to measure the impact of launching group calls: define treatment, control, primary and guardrail metrics. Is total call volume an appropriate primary metric—why or why not?

Group calling exhibits strong network effects. If engineering resources prevent a cluster-randomized rollout, how else could you control for contamination and measure causal impact?

Hints

Think about feature importance, willingness to pay, self-reported usage, third-party data, simulations, causal-inference corrections like diff-in-diff or instrumental variables.