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

SeniorPrefer not to say
Jul 2026

Summary

Behavioral screen at Meta, just the one question about giving tough feedback. Short and straightforward, nothing too surprising.

Questions Asked (1)

Q1

Tell me about a time you gave harsh feedback to a colleague.

Conflict ResolutionStakeholder Management
Author's notes

I had a story ready but mid-answer I realized it sounded more like I was venting than actually helping someone grow.

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AI HintsAI Generated

Suggested Approach

Choose a situation where you delivered constructive but direct feedback that was necessary for project success or team health. Frame the feedback as specific, actionable, and focused on the work, not the person. Highlight how you maintained respect and supported your colleague afterward.

Pro tip: Emphasize that you asked for permission before giving feedback and followed up to offer support, showing emotional intelligence and a growth mindset.

1. Set the context

Briefly describe the project, your colleague's role, and the specific issue that required feedback. Keep it concise and avoid blaming language.

2. Explain your approach

Describe how you prepared the feedback: focusing on observable behavior, impact, and desired outcome. Mention if you sought a private setting and asked for permission.

3. Deliver the feedback

Summarize what you said, using 'I' statements and specific examples. Show that you were direct but empathetic, and that you invited dialogue.

4. Describe the outcome

Explain how the colleague responded and what changed. Highlight any positive results for the project or team, and how the relationship was preserved or strengthened.

5. Reflect and learn

Share what you learned from the experience and how it improved your communication or leadership skills.

Key Points to Mention

  • Specific, observable behavior rather than personal attacks
  • Impact of the behavior on the team or project
  • Private and timely delivery of feedback
  • Use of 'I' statements and active listening
  • Follow-up and support offered after feedback
  • Positive outcome or lesson learned

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