The conversations leaders botch are the ones they run for the first time live: the missed promotion, the project cancellation, the conflict between two seniors. This playbook uses AI as a rehearsal partner — playing the defensive, upset, or blindsided counterpart — then as a critic scoring your performance against the framework you chose.
Workflow area: Leadership Ops · Tier: Core · Hands-on time: ~30 minutes
Pilots get simulators; leaders traditionally get to crash the real plane. Role-play with a model fixes the asymmetry: you can take the hardest version of the conversation three times before 9am, hear your opening land badly, and fix it while it costs nothing. The rehearsal is not about scripting the human — real people will surprise you — it is about draining the adrenaline from your first attempt so your second attempt, the real one, gets your full attention.
Define the scenario on paper first. One paragraph: the message you must deliver, the outcome you need, the reaction you most fear, and the thing you must NOT say (the unannounced reorg, the peer comparison, the confidential context). The last item is your tripwire — rehearsal exists partly to practice not saying it.
Set up the role-play.
Role-play a difficult workplace conversation with me. You play
[ROLE — e.g. "a senior engineer, 6 years tenure, who expected
the promotion I am about to tell them they did not get"].
Play them [PICK ONE: defensive and argumentative / visibly upset
and quiet / blindsided and asking rapid questions]. Be realistic,
not cartoonish: they are a competent professional having a bad
day, not a villain. Push back where a real person would. Do not
make it easy for me, and do not resolve the conversation for me.
Stay in character until I say "PAUSE". I open the conversation:
[TYPE YOUR ACTUAL OPENING LINE]
Run the conversation for 8–12 exchanges. Then say PAUSE and switch modes.
Get the critique against your chosen framework.
PAUSE. Step out of character. Critique my side of that
conversation against [FRAMEWORK — e.g. "SBI + Radical Candor" /
"Nonviolent Communication" / "Crucial Conversations"].
Score me on: (1) clarity of the core message — could they repeat
the decision back?; (2) where I defended, over-explained, or
negotiated a settled decision; (3) empathy that was concrete vs
performative; (4) anything I said that made a commitment or
comparison I should not have; (5) the single change with the
highest payoff. Quote my exact lines as evidence for each point.
Good critique output looks like:
2. You over-explained: after delivering the decision you gave
four justifications unprompted ("and also the budget...").
Each extra reason handed them a new thing to argue with.
4. Risk line: "you're definitely on track for next cycle" — you
just made a promise a calibration committee owns, not you.
Run it again, harder. Take the top critique item, change one thing, and rerun with the same reaction mode — or escalate: "play them angrier this time" or "this time they threaten to quit." Two or three reps is the sweet spot; past five you are polishing a script instead of building readiness.
For mediation: rehearse both chairs, then draft the anonymized agenda. Role-play as party A, then as party B — you will discover your framing favors one of them. Then: "Draft a mediation agenda for a conflict between two colleagues over [NEUTRAL DESCRIPTION — e.g. 'code review tone and turnaround expectations']. Ground rules, sequence of speaking, questions that surface interests rather than positions. Include nothing that reveals what either party told me privately." The agenda goes to both parties in advance; private disclosures never do.
Rehearsal prompts describe real workplace situations — keep names, confided grievances, health matters, and unannounced decisions out of them, use your organization's approved AI tenant, and for any conversation with legal or HR exposure, rehearse only what HR has already approved you to say.
Book the rehearsal the day before the conversation, not the hour before — you want a night's sleep between hearing your opening fail and delivering the version that works.