Uncover User Needs for Group Calling Effectively
Overview
This question evaluates proficiency in product analytics and experimentation, covering survey design, competitive benchmarking with limited observability, experimental metric selection, and handling network effects in causal measurement.
Meta
Jul 12, 2025, 6:59 PM
Data Scientist
Technical Screen
Analytics & Experimentation
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Scenario
You are the product analyst for a messaging platform planning to introduce a group-calling capability. You need to understand user needs, benchmark competitors without direct data, and design a robust experiment to measure impact under network effects.
Questions
- 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: Consider feature importance, willingness to pay, self-reported usage, third-party data, simulations, and causal-inference corrections like diff-in-diff or instrumental variables.
Solution
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