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Google·Software Engineer·Technical Phone Screen·Intermediate

IntermediateRejected
Jun 2026

Summary

Went through a Google SWE interview that had a behavioral section followed by one algorithmic question. Got rejected, and I'm still not totally sure if it was the hints I needed or the fact that I never actually coded the solution.

Questions Asked (3)

Q1

Tell me about a time you completely disagreed with someone.

Conflict Resolution
Author's notes

Weakest part of my behavioral prep by far.

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AI HintsAI Generated

Suggested Approach

Choose a professional disagreement where you respected the other person and focused on the problem, not personalities. Use a structured story (like STAR) to show how you listened, presented data, and reached a resolution. End with what you learned and how it improved the team or product.

Pro tip: Emphasize that you sought to understand the other person's perspective first and that you were willing to change your mind if presented with better evidence. This shows maturity and collaboration, which Google values highly.

1. Set the context

Briefly describe the situation, your role, and the other person's role, making sure to highlight that it was a professional disagreement about an idea or approach.

2. Explain the disagreement

Clearly state what you disagreed on and why, focusing on technical or strategic reasons rather than personal differences.

3. Show how you listened and responded

Describe how you actively listened to their perspective, asked questions, and presented your own reasoning with data or examples.

4. Describe the resolution

Explain how you reached a resolution, whether through compromise, experimentation, or escalation, and what the outcome was.

5. Reflect on the learning

Share what you learned from the experience and how it improved your ability to collaborate or make decisions in the future.

Key Points to Mention

  • Focus on the problem, not the person
  • Use data or evidence to support your position
  • Actively listen and show empathy for the other viewpoint
  • Be open to changing your mind if the other person has a better argument
  • Highlight the positive outcome or learning from the disagreement
  • Demonstrate respect and professionalism throughout

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

Q2

Describe a situation where you had to resolve a conflict with a colleague or stakeholder.

Conflict ResolutionStakeholder Management
Author's notes

Multiple conflict-type questions came up in the behavioral section.

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AI HintsAI Generated

Suggested Approach

Use the STAR method to structure your answer, focusing on a specific conflict and your role in resolving it. Emphasize how you listened to the other party, found common ground, and achieved a positive outcome. Highlight the lessons learned and how you applied them to future collaborations.

Pro tip: Show that you can disagree without being disagreeable: focus on the problem, not the person, and demonstrate how you turned the conflict into an opportunity for better solutions.

1. Set the Scene

Briefly describe the project, the stakeholders involved, and the nature of the conflict. Provide enough context for the interviewer to understand the stakes.

2. Explain Your Role

Clarify your specific role and why you needed to resolve the conflict. Show that you took ownership rather than waiting for someone else to fix it.

3. Describe Your Approach

Detail the steps you took to resolve the conflict, such as active listening, empathizing, and proposing compromises. Highlight any communication techniques you used.

4. Share the Outcome

Explain the resolution and its impact on the project and relationships. Quantify results if possible (e.g., 'delivered on time,' 'improved team morale').

5. Reflect and Learn

Summarize what you learned from the experience and how it has improved your ability to handle conflicts in the future.

Key Points to Mention

  • Active listening and empathy to understand the other person's perspective
  • Focusing on shared goals and project success rather than personal differences
  • Using data and objective criteria to make decisions
  • Maintaining professionalism and respect throughout the process
  • Escalating appropriately if needed, but only after attempting direct resolution
  • Applying lessons learned to prevent similar conflicts in the future

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

Q3

Given an algorithmic problem, prove the correctness of your proposed solution.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The coding part wasn't the hard part, weirdly.

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AI HintsAI Generated

Suggested Approach

First, restate the problem and clarify assumptions. Then, outline your algorithm and rigorously prove its correctness using induction, loop invariants, or exchange arguments. Finally, analyze time and space complexity and discuss edge cases.

Pro tip: Connect your proof to the algorithm's design choices—show how each step ensures correctness, and mention potential pitfalls like off-by-one errors or incorrect base cases.

1. Understand and Restate the Problem

Clearly restate the problem in your own words, identify inputs, outputs, and constraints. Ask clarifying questions if needed.

2. Describe Your Algorithm

Explain your approach step-by-step, including data structures and control flow. Keep it concise but complete.

3. Prove Correctness

Use a formal method like induction, loop invariants, or exchange argument to show the algorithm always produces the correct output.

4. Analyze Complexity

Derive the time and space complexity, and justify them with respect to the algorithm's operations.

5. Discuss Edge Cases and Trade-offs

Mention how your solution handles edge cases and compare with alternative approaches, highlighting trade-offs.

Key Points to Mention

  • Loop invariants: define and prove initialization, maintenance, and termination.
  • Induction: base case and inductive step for recursive or iterative algorithms.
  • Exchange argument: for greedy algorithms, show that swapping to the greedy choice doesn't worsen the solution.
  • Time and space complexity: use Big-O notation and explain the reasoning.
  • Edge cases: empty input, single element, large input, duplicates, etc.
  • Trade-offs: simplicity vs. efficiency, and why your approach is optimal for the given constraints.

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