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Microsoft·Software Engineer·Onsite - Behavioral / Leadership·Senior

SeniorPrefer not to say
May 2026

Summary

Microsoft behavioral round focused almost entirely on one question about working in ambiguity, but the follow-ups kept coming for a solid chunk of the conversation. More probing than I expected for what looked like a standard behavioral screen.

Questions Asked (1)

Q1

Tell me about a time you had to complete a task with very little information or guidance. How did you figure out what to do, what got in your way, and how did you work through it?

Adaptability & AmbiguityA/B Testing & ExperimentationRoadmap Prioritization
Author's notes

This felt manageable until the follow-ups started stacking.

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AI HintsAI Generated

Suggested Approach

Use the STAR method to structure your answer, focusing on how you proactively gathered information, made assumptions, and validated them. Emphasize the obstacles you faced and the iterative process you used to overcome them, highlighting your resourcefulness and technical judgment.

Pro tip: Show that you not only completed the task but also improved the process for next time—e.g., by documenting your findings or creating a reusable framework. This demonstrates initiative and a growth mindset, which Microsoft values.

1. Set the Scene

Briefly describe the project, your role, and why information or guidance was scarce. Highlight the ambiguity and its impact on the team.

2. Identify Obstacles

Explain the specific challenges you faced, such as unclear requirements, missing documentation, or tight deadlines, and how they hindered progress.

3. Take Action

Detail the steps you took to gather information, such as researching, consulting experts, or running experiments, and how you made decisions with incomplete data.

4. Overcome and Deliver

Describe how you worked through the obstacles, validated your approach, and successfully completed the task, including any adjustments made along the way.

5. Reflect and Learn

Summarize the outcome, key lessons learned, and how you applied them to future projects or shared them with your team.

Key Points to Mention

  • Proactive information gathering: reaching out to stakeholders, searching internal wikis, or analyzing similar past projects.
  • Making and documenting assumptions: clearly stating assumptions and validating them through experiments or feedback.
  • Iterative approach: breaking the task into smaller pieces, testing hypotheses, and adjusting based on results.
  • Collaboration: leveraging team members' expertise and building consensus despite ambiguity.
  • Technical decision-making: choosing appropriate tools or methods (e.g., A/B testing, prototyping) to reduce uncertainty.
  • Impact and learning: quantifying the outcome and describing how you improved processes for future ambiguous tasks.

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