Convince Leadership to Launch Group Chat Feature

Quick Overview

This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Convince Leadership to Launch Group Chat Feature states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Convince Leadership to Launch Group Chat Feature

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario Instagram is debating whether to launch a new group chat / group video-call feature. ##### Question How would you convince leadership that a group chat / group-call feature is necessary? How could you leverage the existing video_calls table for this analysis? What additional qualitative or quantitative resources would strengthen your case? Which survey questions would you ask, and whom would you target? Should there be a maximum group size? How would you determine an appropriate cap? ##### Hints Blend usage analytics, competitive landscape, user feedback and cost considerations to build a data-backed narrative.

Quick Answer: This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Convince Leadership to Launch Group Chat Feature states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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Aug 4, 2025, 10:55 AM
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Convince Leadership to Launch Group Chat Feature

Evaluating a Group Chat / Group Video-Call Feature for Instagram

Context

You are a Data Scientist asked to assess whether Instagram should build a multi-participant group chat/group video-call feature. You have access to an existing video_calls table that currently logs 1:1 calls. Use analytics, user research, and competitive/operational considerations to build a recommendation.

Tasks

  1. Build a leadership-ready case for (or against) launching group chat/group video-calls. Define the decision framework and success metrics.
  2. Explain exactly how you would leverage the existing video_calls table to estimate demand, impact, and risks.
  3. Identify additional qualitative and quantitative resources that would strengthen the case.
  4. Draft survey questions and define target audiences for the research.
  5. Recommend whether there should be a maximum group size. Propose how to determine an appropriate cap.

Hints

Blend usage analytics, competitive landscape, user feedback, and cost/quality considerations to produce a data-backed narrative and a pragmatic rollout plan.

Constraints & Assumptions

  • Preserve the scope, facts, inputs, and requested outputs from the prompt above.
  • If the prompt leaves a detail unspecified, state a reasonable assumption before relying on it.
  • Keep the answer interview-ready: concise enough to present, but concrete enough to implement or evaluate.

Clarifying Questions to Ask Guidance

  • Clarify the business objective, unit of analysis, time window, exposure definition, and primary metric.
  • State assumptions about instrumentation, randomization, sample size, and data quality.
  • Separate descriptive analysis from causal claims.

What a Strong Answer Covers Guidance

  • A metric framework with primary, guardrail, and diagnostic metrics.
  • A credible analysis or experiment design with clear assumptions and bias checks.
  • SQL/statistical logic for segmentation, variance, confidence, and data validation where relevant.
  • An actionable recommendation that explains trade-offs and next steps.

Follow-up Questions Guidance

  • What sanity checks would you run before trusting the result?
  • How would you handle novelty effects, seasonality, or selection bias?
  • What decision would you make if metrics disagree?
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