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Google·Software Engineer·Onsite - Behavioral / Leadership·Intermediate

Intermediate
May 2026

Summary

Behavioral round at Google for a SWE role, just the one question but it took up most of the time.

Questions Asked (1)

Q1

Tell me about a time you had to convince a team that disagreed with your approach.

Conflict ResolutionCross-functional AlignmentStakeholder Management
Author's notes

I had a story ready but partway through I realized it made me sound more stubborn than persuasive.

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AI HintsAI Generated

Suggested Approach

Use the STAR method to describe a specific situation where you had to persuade a team that disagreed with your technical approach. Focus on how you listened to their concerns, presented data-driven arguments, and ultimately reached a consensus that benefited the project.

Pro tip: Emphasize that you were open to being wrong and that you sought to understand their perspective first; this shows maturity and collaboration, which Google values highly.

1. Set the Context

Briefly describe the project, your role, and the team's disagreement, including why your approach was initially met with resistance.

2. Listen and Understand

Explain how you actively listened to the team's concerns and validated their perspectives to build trust and uncover the root of the disagreement.

3. Present Your Case

Describe how you articulated your approach using data, prototypes, or industry best practices, and how you addressed the team's specific objections.

4. Collaborate and Compromise

Detail how you worked with the team to find a middle ground or adjust your approach based on feedback, demonstrating flexibility and teamwork.

5. Resolve and Reflect

Share the outcome: how the team aligned, the results achieved, and what you learned from the experience about persuasion and collaboration.

Key Points to Mention

  • Use of data and evidence to support your approach
  • Active listening and empathy towards team members' concerns
  • Flexibility and willingness to adapt your approach
  • Collaboration and consensus-building techniques
  • Positive outcome and lessons learned
  • Alignment with Google's values of user focus and teamwork

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