The prompt

Prepare for Panel Interview Dynamics guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.

text prompt
I have a panel interview with {{number}} interviewers for {{role}}. The panel includes: [List each person: name, role, what they likely care about] Help me prepare for: how to address a room (eye contact distribution, who to look at when answering), different priorities for each panelist (what the hiring manager vs HR vs technical lead care about), how to handle contradictory questions from different panelists, strategies for connecting with each person individually, time management (longer answers get cut short in panels), and follow-up strategy (individual thank-yous vs one email). Include a "panel interview cheat sheet" with each person's likely questions and what they're evaluating.

Tune the prompt, not the plumbing.

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Customized prompt709 characters
I have a panel interview with a specific number interviewers for product manager. The panel includes: [List each person: name, role, what they likely care about] Help me prepare for: how to address a room (eye contact distribution, who to look at when answering), different priorities for each panelist (what the hiring manager vs HR vs technical lead care about), how to handle contradictory questions from different panelists, strategies for connecting with each person individually, time management (longer answers get cut short in panels), and follow-up strategy (individual thank-yous vs one email). Include a "panel interview cheat sheet" with each person's likely questions and what they're evaluating.

Useful structure, room to move.

Prepare for Panel Interview Dynamics guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when preparing for a job search, interview, or professional decision and you want a response that is easier to evaluate and act on.

The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.