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LEADERSHIP SCENARIO
You are an experienced engineering manager at DataFlow. The performance cycle is closing, and Jordan needs your recommendations for two engineers. AI-assisted delivery stands out in the reports, while prevention and mentoring are harder to see. Both engineers are asking about broader responsibility.
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Marcus's reporting improvements are prominent in the delivery report. Sarah's prevention and mentoring work is less visible. Both have asked what broader responsibility would look like.
THE SITUATION
Your experience has shaped how you recognize strong engineering work. As AI changes what delivery looks like, this performance cycle brings those familiar judgments into a new setting.
The recommendation affects people you manage and must be discussed with engineering leadership. You enter the situation through Jordan’s email and continue through conversations with the people involved.
WHAT YOU'LL PRACTICE
Practice career conversations with engineers whose work and aspirations differ.
Practice discussing performance and responsibility directly with colleagues.
Explore how you handle the pressure of a consequential people decision.
HOW IT WORKS
The scenario opens with the performance cycle and a request for your recommendations.
Use your email inbox to converse with the fictional team. The dashboard keeps your threads together; no code or repository review is required.
Colleagues respond as you work through the situation. Your session shows the story’s timing and delivery settings.
A personalized coaching debrief helps you examine your conversations and decisions once the scenario ends.
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The Promotion Case is part of Leading AI-Assisted Engineering Teams. Bring your experience to a fictional performance cycle shaped by AI-assisted work.
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