Influence Stakeholders for Product Decision at Meta

Q: Influence Stakeholders for Product Decision at Meta

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.

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Question

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.

Influence Stakeholders for Product Decision at Meta

Behavioral: Influencing Stakeholders To Drive a Product Decision

Scenario

Prompt

What to Cover

Solution

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