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Google·Software Engineer·Hiring Manager Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Interviewed at Google and got hit with a budget overrun scenario. Pretty short experience to write up, but the question itself made me think more than I expected.

Questions Asked (1)

Q1

If a project you're managing goes over budget, what do you do?

Stakeholder ManagementAdaptability & AmbiguityCross-functional Alignment
Author's notes

I fumbled this a bit.

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AI HintsAI Generated

Suggested Approach

Show that you take ownership by immediately assessing the situation, communicating transparently with stakeholders, and proposing a plan to get back on track. Emphasize collaboration and data-driven decision-making, while highlighting your ability to learn and prevent future overruns.

Pro tip: Frame the overrun as a shared challenge and focus on solutions, not blame. Mention that you'd document lessons learned to improve future estimates and processes.

1. Assess the Situation

Quickly gather data to understand the root cause and the extent of the overrun. Determine if it's due to scope creep, underestimation, or unexpected issues.

2. Communicate Transparently

Inform key stakeholders (e.g., project sponsor, team, finance) as soon as possible. Be honest about the situation and present your initial analysis.

3. Develop a Recovery Plan

Propose options to mitigate the overrun, such as re-scoping, reallocating resources, or negotiating additional budget. Evaluate trade-offs with the team.

4. Align and Execute

Get stakeholder buy-in on the chosen plan, then implement it with clear milestones and monitoring. Keep everyone updated on progress.

5. Learn and Prevent

Conduct a retrospective to identify lessons learned and update processes to avoid similar issues in future projects.

Key Points to Mention

  • Root cause analysis (e.g., scope changes, inaccurate estimates)
  • Transparent and timely communication with stakeholders
  • Collaborative problem-solving with cross-functional teams
  • Data-driven decision-making (e.g., using burn rate, forecasts)
  • Trade-off discussions (e.g., scope vs. budget vs. timeline)
  • Documenting lessons learned and improving estimation processes

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