- Camille Fournier, *The Manager's Path* — level-expectations framing and hard-conversation preparation discipline.
- Lara Hogan, resilient-management writing — observation + impact + question feedback equation, noticing in 1:1s.
- Kim Scott, *Radical Candor* — care-personally / challenge-directly axis used to keep tone calibrated.
- Lattice Manager Effectiveness research (2025) — opening-specificity correlation with perceived fairness; return-from-leave ratings.
- OpenAI prompt engineering guide — structured-synthesis patterns.
- OpenAI model documentation — GPT-5 and GPT-5-mini selection.
- OpenAI pricing — per-1:1 compute cost reference.
- OpenAI data usage policies — input-handling and retention guidance for sensitive employee data.
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"headline": "10 ChatGPT prompts that prep you for hard 1:1s in 2026",
"datePublished": "2026-06-10",
"dateModified": "2026-06-10",
"author": {
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"name": "Dr. Elena Vasquez",
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"description": "Ten production-grade ChatGPT prompts for the hardest 1:1 conversations — performance concerns, scope mismatch, promotion-not-yet, peer conflict, layoff delivery, comp disappointment, IC redirect, return from leave, burnout signal, and quit-risk — grounded in Fournier, Hogan, Scott, and Lattice's manager-effectiveness research.",
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"name": "Which ChatGPT model should I use for hard-1:1 prep?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GPT-5 is the right default for performance, layoff, burnout, and quit-risk prompts because tone is the artifact. GPT-5-mini handles the structurally tighter prompts (scope, promotion, peer conflict, comp, IC redirect, return from leave) well."
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{
"@type": "Question",
"name": "Is it safe to put my report's information into ChatGPT?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Treat the input as if it were going into a public document. Use role descriptors, rounded numbers, and observed-behavior snippets only. Never paste names, salary figures tied to a person, or verbatim review text. Use your company's private LLM deployment if one exists."
}
},
{
"@type": "Question",
"name": "Will the script sound like me?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Not on the first pass. The prompts produce structure; the voice is yours. The 30-minute prep ritual includes a 5-minute step to rewrite the opening line in your voice — do not skip it."
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},
{
"@type": "Question",
"name": "What if the actual conversation goes off the script?",
"acceptedAnswer": {
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"text": "It will. The decision tree handles the three most likely responses; real reports produce a fourth. Fall back on the structure (observation, impact, question; listen first) rather than searching for the prompt's exact line."
}
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"@type": "Question",
"name": "How is this different from running these conversations with HR?",
"acceptedAnswer": {
"@type": "Answer",
"text": "HR sets policy and compliance language; the prompts prep the human delivery around that. The layoff prompt explicitly requires HR-approved reason language verbatim. HR is the source of truth on what you can say; the prompt structures how you say it."
}
},
{
"@type": "Question",
"name": "Do these prompts work for skip-level 1:1s?",
"acceptedAnswer": {
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"text": "They work for direct reports as written. For skip-levels, drop the relationship-strength input, expand the boundary list, lean more on observation than interpretation, and end with smaller commitments."
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"@type": "Question",
"name": "What if I don't have the relationship strength to run these conversations honestly?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Run the relationship-strength input as a 1 or 2. The script will be more cautious, lean on observation, and end with smaller commitments. Hard 1:1s with low-trust reports are smaller in scope and longer in horizon, not impossible."
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