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Google·Software Engineer·Hiring Manager Screen·Intermediate

Intermediate
Jun 2026

Summary

Interviewed for a BA role at Google, one question about handling ambiguous stakeholder asks. Not much else to report.

Questions Asked (1)

Q1

How do you handle a request from a stakeholder that isn't clearly defined?

Adaptability & AmbiguityStakeholder Management
Author's notes

This is the kind of question where you think you have a good answer until you're actually saying it out loud.

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AI HintsAI Generated

Suggested Approach

Start by acknowledging that ambiguity is common and that your approach is to clarify before acting. Describe a structured process: ask clarifying questions, propose a tentative plan, and confirm with the stakeholder. Emphasize collaboration and iterative refinement to ensure alignment.

Pro tip: Show that you balance proactive problem-solving with avoiding wasted effort by suggesting a small prototype or spike to uncover hidden requirements. This demonstrates both initiative and pragmatism, which Google values.

1. Clarify the Request

Ask open-ended questions to understand the stakeholder's underlying goal, constraints, and success criteria. Avoid making assumptions.

2. Propose a Tentative Plan

Based on your understanding, outline a high-level approach or options, and share it with the stakeholder for feedback. This makes the ambiguity concrete.

3. Confirm and Align

Iterate with the stakeholder until you have a shared understanding of the problem and a mutually agreed-upon direction. Document key decisions.

4. Execute and Adapt

Proceed with the plan, but remain flexible. Check in regularly to ensure you're still on track and adjust as new information emerges.

Key Points to Mention

  • Active listening and asking clarifying questions
  • Proposing a tentative solution to drive discussion
  • Iterative communication and feedback loops
  • Documenting assumptions and decisions
  • Balancing speed with thoroughness
  • Using prototypes or spikes to reduce uncertainty

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.