Influence Stakeholders for Product Decision at Meta
Overview
This behavioral and leadership interview question evaluates a Data Scientist's competency in influencing cross-functional stakeholders, communicating trade-offs, aligning teams, and using evidence-based analysis to drive measurable product decisions.
Meta
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Behavioral & Leadership
0
0
Behavioral: Influencing Stakeholders To Drive a Product Decision
Scenario
Cross-functional product development at Meta often requires influencing without direct authority. As a Data Scientist, you collaborate with PMs, engineers, designers, infra, privacy/integrity, and research to make evidence-based decisions.
Prompt
Tell me about a time you influenced multiple stakeholders to drive a product decision.
- How did you communicate trade-offs?
- How did you align teams and lead to execution?
- What was the measurable impact?
What to Cover
- Specific situation and decision context (product, users, metrics, constraints).
- Stakeholders involved and their goals/incentives.
- Decision options considered and trade-offs (impact, cost, risk, privacy, integrity, latency).
- Your influence tactics (data, experiments, qualitative research, 1:1s, decision doc, DACI/RACI).
- Execution steps (owners, milestones, guardrails, rollout plan).
- Quantified results and learning.
Use a structured story (e.g., STAR: Situation, Task, Action, Result) in 2–3 minutes.
Solution
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