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ChatGPT Prompts for CEOs & Founders

CEOs and founders open ChatGPT for a thinking partner, not an oracle — these prompts make it a good one. They run a pre-mortem on a big decision, draft the honest narrative spine for a board update, turn metrics-vs-plan into a no-euphemisms story, and pressure-test a strategy against the downside consensus is hiding. ChatGPT won't make the call; it structures your judgment so you act on evidence, not projection. Keep confidential financials out of consumer tools — and know the prompts work identically in Claude, Copilot, or Gemini.

3 free prompts you can run right now

Strategic DecisionsFREE

Decision stress-test: pre-mortem, base rates, and pre-committed tripwires

A big call is hardening into consensus. Stress-test it with the advisor who is paid to disagree — before the money moves.

You are a skeptical board advisor whose job is to disagree with me productively. I will describe a strategic decision, my rationale, and my data. Produce:

A) STEEL-MAN TABLE — my 3 strongest stated reasons, each with the strongest honest counter-argument and the evidence that would settle the disagreement.

B) PRE-MORTEM — it is 18 months later and this decision failed: the top 5 causes ranked by likelihood times damage, each with its earliest observable warning indicator.

C) BASE RATES — the reference class this decision belongs to and what typically happens in it, explicitly labeled "from general knowledge — verify current figures before relying on this".

D) VERDICT — proceed / proceed-with-tripwires / pause, with 3 tripwires (metric + threshold + the pre-committed action when hit).

Inputs: [THE DECISION + DEADLINE] · [MY RATIONALE + KEY DATA] · [ALTERNATIVES I CONSIDERED] · [WHAT WOULD MAKE ME WRONG]

Rules: Do not invent market data or figures — keep my facts separate from your general knowledge and flag every external claim for verification against current sources. Do not soften the counter-arguments to be agreeable. I will not paste material non-public information or personnel records, and you must not ask for them.

Why it works — Consensus is where companies lose money — human advisors are too polite, too invested, or too far away to object. Pre-committed tripwires convert a bet into a managed position, and the label-your-training-data rule stops the model's stale base rates from masquerading as current market fact.

Strategic DecisionsFREE

Pre-mortem: assume the decision failed, then work backward to why

You're about to make a big call and everyone's nodding. Run a pre-mortem that surfaces the failure modes optimism is hiding.

You are a decision advisor running a pre-mortem — a thinking aid; the judgment stays yours.

Produce:

A) FAILURE SCENARIO — assume it's 18 months later and this decision failed badly; write the two-paragraph story of how, grounded in the real risks I described.

B) FAILURE MODES — the top 5 specific causes from that story, each rated on likelihood and how early we'd see it coming.

C) EARLY WARNINGS — for the top 3 modes, the concrete leading indicator to watch and the pre-committed action if it trips.

D) REVERSIBILITY — an honest read on how reversible this decision is and the cheapest way to preserve optionality.

Inputs: [THE DECISION] · [WHY WE'RE LEANING YES] · [KNOWN RISKS] · [WHAT'S AT STAKE / TIMELINE]

Rules: Do not invent facts or manufacture false risks — build only from what I described, and separate plausible risks from remote ones. This structures the downside; the decision and the judgment stay yours. Verify anything uncertain against the source before relying on it; keep confidential and identifying data out of consumer AI tools.

Why it works — Executive decisions fail from risks that optimism and consensus suppressed; a pre-mortem that forces the team to inhabit the failure first, then convert its causes into leading indicators with pre-committed responses, surfaces the downside while it's still cheap to act on — and the reversibility read reframes a scary bet into a question of preserving optionality.

Strategic DecisionsFREE

Negotiation-prep brief: their constraints, your BATNA, and the concession ladder before a major deal

A partnership or vendor deal is heading to the table. Build the prep brief that fixes your walk-away line and sequences your concessions before you're across from them improvising.

You are a negotiation strategist preparing me for a high-stakes partnership or vendor negotiation — a preparation aid; the deal decisions stay mine. I will describe the deal, what I know about the other side, and my constraints. Produce:

A) INTERESTS vs POSITIONS — a two-column table separating what each side is likely SAYING they want (the position) from the underlying interest driving it (the why). Every claim about the counterparty's interest is marked [ASSUMPTION] unless I gave it to you as fact.

B) MY WALK-AWAY — my BATNA (best alternative if this deal dies) stated concretely, my WATNA (worst realistic alternative), and from those a single RESERVATION POINT: the exact terms below which I walk. If my BATNA is weak, say so plainly and name the one move that would strengthen it before I sit down.

C) THEIR LIKELY BATNA — my best read of the other side's walk-away alternative and how strong it is, with every element labeled [ASSUMPTION] and paired with the signal that would confirm or kill it. From my reservation point and theirs, sketch the ZOPA — the range a deal can actually land in — or state honestly that there may be none.

D) THE ASK + ANCHOR — where to open on each major term (not price alone), the justification that makes the anchor defensible rather than insulting, and the terms on which they likely hold the weakest conviction, where I should concentrate on claiming value.

E) CONCESSION LADDER — an ordered sequence of concessions I can make, each one small, each one bought (what I ask for in return), each one moving toward but never past my reservation point. Flag the two red-line terms I must not trade at all.

F) THEIR PLAYBOOK + MY COUNTERS — the 3 most likely tactics or objections from the other side, each with a one-line counter, plus the exact walk-away line I say out loud if they cross my reservation point.

Inputs: [THE DEAL + WHAT I NEED FROM IT] · [WHAT I KNOW ABOUT THE OTHER SIDE] · [MY REAL ALTERNATIVES IF THIS FAILS] · [MY CONSTRAINTS + DEADLINE] · [THE TERMS ON THE TABLE]

Rules: Do not invent facts about the counterparty — their leverage, deadlines, finances, or intent — every such claim must be labeled [ASSUMPTION] and paired with how to verify it before I rely on it. Verify any market benchmark, comparable deal, or price reference against a current source rather than trusting your training data. This structures the preparation; the strategy and every concession stay my call. Never paste the counterparty's confidential terms, non-public financials, or any individual's personal contact details into a consumer AI tool — keep names out and reason about roles.

Why it works — Executives lose deals they should win by negotiating without a fixed walk-away line, so they concede past their own interest under time pressure; anchoring the prep on a concrete BATNA and reservation point turns the negotiation into a managed position, the label-every-counterparty-assumption discipline stops a guess about the other side's leverage from hardening into false certainty, and a concession ladder where every give is bought prevents the unilateral drift that trains a counterpart to keep taking.

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8 more C-suite prompts in the full set

Here's what's in the rest of the pool — every prompt is free to read in full on its own page; the PromptSharp C-suite Brief delivers them to your inbox:

Board & Investor Comms

Board memo: the pre-read that kills surprises

Board meeting in two weeks. Draft the pre-read that surfaces the hard topic on your terms — before a director does it on theirs.

You are a chief of staff drafting a board pre-read memo. I will paste the quarter's numbers and the situation. Produce:

A) MEMO SKELETON — a headline
Board & Investor Comms

Board narrative: the story your metrics tell, good news and bad

The board deck is due and the numbers are mixed. Build a narrative that's honest about the misses and clear on the plan.

You are a CEO advisor drafting the narrative spine of a board update — a drafting aid; the message is yours.

Produce:

A) HEADLINE — the one honest s
Org & Talent

Org design review: structure follows strategy, with a migration plan

The org chart grew by accretion and the strategy changed. Review structure against strategy before the next planning cycle locks it in.

You are an organizational-design advisor. I will describe our strategy, current structure, and observed pain. Produce:

A) STRESS POINTS — a table of
Org & Talent

Role scorecard: define the job before you write the job post

You're about to hire and the role is fuzzy. Define outcomes and competencies first, so you hire for the job, not a resume.

You are an org-design advisor drafting a role scorecard — a drafting aid; the hiring judgment stays yours.

Produce:

A) MISSION — one sentence on why
Operating Cadence

Operating cadence audit: fewer meetings, real decision velocity

The calendar is full and decisions still take three weeks. Audit the operating rhythm — meetings, metrics, decision rights — end to end.

You are an operating-system designer for executive teams. I will describe our current rhythm. Produce:

A) CADENCE MAP — a table of every recurring fo
Operating Cadence

Operating review: the meeting that catches a slipping goal in week 3, not month 3

Your operating reviews are status theater. Redesign the cadence so a slipping metric gets caught and acted on early.

You are an operations advisor designing an operating-review cadence — a design aid; the calls stay yours.

Produce:

A) METRIC SET — the 5-7 metrics t
Market Intelligence

Competitive scan brief: signal-ranked moves and the response option set

Quarterly strategy review. Turn scattered competitor news into a ranked read on what actually threatens you — with response options costed.

You are a competitive-intelligence analyst preparing an executive brief. I will paste the raw signals I have collected. Produce:

A) SIGNAL TABLE — fo
Market Intelligence

Competitive teardown: what a rival's moves reveal about their strategy

A competitor made a move and the team is reacting emotionally. Get a cold read on what it signals and whether it changes your plan.

You are a market-strategy advisor doing a competitive teardown — an analysis aid whose inferences I will pressure-test.

Produce:

A) MOVE READ — what
Reality guardrail: these prompts make the model reason from data you paste — they do not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

What Pro adds

The prompts above are free to copy and always will be. Pro is for people who want the PromptSharp C-suite Brief working for them every day:

Every vertical's Pro includesWhat it means
Every prompt, every dayThe full daily prompt set, not just the free rotating sample.
MCP accessPull your prompts straight into Claude, Cursor & any MCP client — scoped to your tier (your vertical / your 3 / entire cross-vertical). Profile-merged responses are a later enhancement.
Role-personalized promptsEvery prompt tailored to your role — log in, set your profile once, and prompts auto-fill for you on the web. LIVE (verified end-to-end 2026-07-21).
Favorites + network viewSave & search your own prompts in one cross-vertical favorites library (one click), PLUS see the most-favorited across the network (early ranking estimated from usage, sharpens over time). LIVE (verified 2026-07-21).
Monthly prompt packsA curated themed pack of prompts each month on top of your daily set — scoped to your tier. Your first pack lands the first business day after month-end, then every month after.
Weekly roundupA weekly roundup of the week's best prompts, curated from copy + favorite signal. Free readers see a teaser; Pro gets the full set.
Suggestion channelA direct line to request the prompts and verticals YOU want — all subscribers, free and paid.
Full prompt archiveThe vertical's full back-catalog of prompts, free to browse by date — every prompt we've shipped stays online.
MCP access — liveConnect the PromptSharp prompt library inside Claude, ChatGPT, or Cursor and pull prompts where you work. Live today.

MCP access is live today — connect the prompt library in Claude, ChatGPT, or Cursor in two minutes →

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All 11 C-suite prompts

Every prompt in this pack has its own permanent page — full text, copy-paste ready, free, no account needed.

Frequently asked

Can ChatGPT actually help with executive decisions?

Not by making them — by structuring them. The strongest use is a pre-mortem: tell ChatGPT to assume the decision failed, work backward to the causes, and convert them into leading indicators you watch. It surfaces the downside that optimism and consensus suppress. The model organizes the risk; the call, and the accountability for it, stay entirely with you. Claude and Gemini run the same prompt.

How do founders use ChatGPT for board prep?

To draft the honest narrative spine faster. Paste your metrics-vs-plan and have ChatGPT name the real reason for each miss — no euphemisms — and tie last quarter's commitments to this quarter's results so the story stays consistent over time. It drafts; you verify every number. Keep confidential financials out of ChatGPT and any consumer AI tool.

Which model is best for strategy work — ChatGPT or something else?

The prompts are model-agnostic — ChatGPT, Claude, Copilot, and Gemini all work. A larger context window helps when you paste a full board deck or a stack of competitive intel, and some founders prefer Claude for long docs. What matters more than the model is prompt structure and separating observation from inference so you act on evidence, not projection.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.