Managers and executives use AI as a thinking partner: pressure-testing a strategy, structuring a decision, drafting board updates and all-hands talking points, and preparing for difficult conversations. The prompts here are designed to challenge your thinking rather than agree with it, because models tend to flatter by default.
The risk with AI for leaders is not that it gets things wrong - it is that it agrees with you. Every prompt here asks the model to argue against the plan, name the weakest assumption and state what would change its mind.
What AI helps managers & executives with
- Pressure-testing a strategy
- Structuring a difficult decision
- Writing a board-ready one-pager
- Preparing all-hands talking points
- Planning a difficult conversation
- Deciding whether to stop a project
12 AI prompts for managers & executives
Press "Fill in" to complete the [BRACKETS] in a form, then copy or open the prompt straight in ChatGPT, Claude or Gemini. Save the ones you use with the heart.
Pressure-test a strategy before committing to it
Have your plan argued against properly.
Attack this strategy. Your job is to find where it breaks, not to improve it. THE STRATEGY: [WHAT WE PLAN TO DO] THE REASONING: [WHY WE THINK IT WILL WORK] WHAT WE ARE BETTING ON: [KEY ASSUMPTIONS] OUR SITUATION: [SIZE, RESOURCES, MARKET POSITION, CONSTRAINTS] TIMEFRAME: [HOW LONG BEFORE WE EXPECT RESULTS] Produce: 1. THE LOAD-BEARING ASSUMPTION - of everything I have said, the one that, if false, collapses the whole plan. Name it, and give the cheapest way to test it. 2. THE STRONGEST COUNTER-ARGUMENT - written as an intelligent critic would make it. Full strength, no strawman. 3. WHO ELSE HAS TRIED THIS - the general pattern, how it usually goes, and what distinguishes the cases that worked. Be honest about the base rate. 4. WHAT HAS TO BE TRUE - list the conditions required for this to work, and mark each: already true / probably true / unverified / unlikely. 5. THE COMPETITIVE RESPONSE - if this works, what do competitors do, and does our advantage survive it? 6. WHAT WE ARE NOT DOING - the opportunity cost of committing these resources here. 7. THE HONEST VERDICT - one paragraph. If the plan is weak, say so directly. If it is sound, say what makes it sound rather than agreeing. Do not offer encouragement. Do not end on an upbeat note.
What you get: A full adversarial review naming the load-bearing assumption, the base rate, and an unsoftened verdict.
Tip: 'Do not end on an upbeat note' is load-bearing. Models reliably undo a critique in the final paragraph unless told not to.
Decide between options with an explicit framework
Make a structured comparison instead of a gut call.
Help me decide between these options. THE DECISION: [WHAT I AM CHOOSING BETWEEN] OPTIONS: [LIST THEM] WHAT I AM TRYING TO ACHIEVE: [THE UNDERLYING GOAL] CONSTRAINTS: [BUDGET, TIME, PEOPLE, ANYTHING FIXED] MY CURRENT LEAN: [WHICH ONE, AND WHY] REVERSIBILITY: [how hard is this to undo] Produce: 1. THE REAL QUESTION - restate the decision. Often the stated choice is a proxy for a different question. If it is, say so. 2. CRITERIA - derive 5-7 criteria from my goal and constraints, not generic ones. Weight each 1-5 by importance and justify each weight in a few words. 3. SCORING MATRIX - each option against each criterion, 1-5, with a one-line reason per cell. Weighted total at the bottom. 4. WHY THE WINNER MIGHT BE WRONG - the scoring's blind spots. What does this framework not capture? 5. MY LEAN, EXAMINED - I said I lean toward one. Is that supported by the analysis? If not, say so plainly and identify what I might be over-weighting. 6. REVERSIBILITY CHECK - if this is easily reversed, say that the right move may be to pick the fastest option and learn, not the best-scoring one. 7. WHAT WOULD CHANGE THE ANSWER - the one piece of information that would most alter the ranking, and how to get it. Do not simply endorse my lean. If the analysis contradicts it, lead with that.
What you get: A weighted decision matrix with the framework's own blind spots named and your stated lean examined rather than confirmed.
Tip: Section 6 changes more decisions than the matrix does. For reversible choices, speed of learning beats quality of analysis.
Decide whether to kill a project or initiative
Make a stop/continue call without sunk-cost reasoning.
Help me decide whether to continue or stop this. WHAT IT IS: [THE PROJECT/PRODUCT/INITIATIVE] ORIGINAL GOAL AND SUCCESS CRITERIA: [WHAT WE SAID AT THE START] HOW LONG IT HAS RUN: [TIME] WHAT HAS BEEN SPENT: [MONEY, PEOPLE, TIME] RESULTS SO FAR: [HONEST NUMBERS AND OUTCOMES] WHAT WOULD BE NEEDED TO CONTINUE: [FURTHER INVESTMENT] WHO IS ATTACHED TO IT: [INTERNAL POLITICS, HONESTLY] Produce: 1. THE FRESH-START TEST - if this did not exist and someone proposed it today, with everything we now know, would we start it? Answer directly. This is the central question and everything spent so far is irrelevant to it. 2. AGAINST THE ORIGINAL CRITERIA - a table: Criterion | Target | Actual | Met? Be literal. 3. THE CASE FOR CONTINUING - at full strength. Include the legitimate reasons: learning curve, delayed effects, a known fixable problem. 4. THE CASE FOR STOPPING - at full strength. Include the opportunity cost of the resources. 5. SUNK COST CHECK - identify every argument in section 3 that is really 'we have already spent a lot'. Name them and set them aside. 6. THE MIDDLE OPTIONS - between continuing as-is and killing it: reduce scope, hand to one person, pause and revisit at a stated date, open-source it, sell it, change the goal. Each with what it costs and preserves. 7. THE DECIDING QUESTION - the single piece of evidence that should determine this, and whether we have it. 8. IF WE STOP - how to do it well: what to salvage, what to tell people, how to treat those attached to it. Answer section 1 before anything else, and do not hedge it.
What you get: A fresh-start verdict, both cases at full strength, sunk-cost arguments named and set aside, and middle options.
Tip: Section 1 is the whole decision. Everything else is scaffolding to stop you arguing your way out of the answer.
Build a board-ready one-pager
Compress a quarter into a single page for people with no context.
Write a board one-pager. ORGANISATION: [WHAT IT DOES] PERIOD: [QUARTER] HEADLINE NUMBERS: [METRICS WITH PRIOR-PERIOD COMPARISON] WHAT WENT WELL: [NOTES] WHAT WENT BADLY: [NOTES - be honest, this is the section that matters] DECISIONS OR APPROVALS NEEDED: [LIST] BOARD'S KNOWN CONCERNS FROM LAST TIME: [LIST] One page, roughly 500 words, structured: 1. THE QUARTER IN ONE SENTENCE 2. NUMBERS - table with prior period and variance. Flag anything off-plan. 3. WHAT CHANGED - three items, each two sentences 4. WHAT WENT WRONG - two items, each with: what happened, impact, what we are doing, and by when. Do not soften. 5. LAST MEETING'S CONCERNS - address each one explicitly, even the ones with no progress. Especially those. 6. ASKS - numbered, each with the decision, the options, the recommendation, and what happens if deferred Rules: - No adjectives on performance. 'Revenue grew 12%' not 'revenue grew strongly'. - Section 4 must not be shorter than section 3. - If a board concern from last time has had no progress, say 'no progress' and why, rather than reframing it. - Anything you cannot evidence from my notes: mark [NEEDS DATA] rather than asserting it.
What you get: A one-page board update where bad news is as prominent as good, and prior concerns are answered directly.
Tip: The rule that section 4 cannot be shorter than section 3 is the most useful constraint here. Board packs fail by burying problems, and boards notice.
Prepare talking points for a team update or all-hands
Turn business news and numbers into clear talking points leaders can deliver.
Prepare talking points for a team update. AUDIENCE: [WHOLE COMPANY / TEAM / BOARD] LENGTH: [MINUTES] WHAT HAPPENED (results, news, changes): [PASTE] THE ONE MESSAGE PEOPLE MUST REMEMBER: [MESSAGE] SENSITIVE TOPICS: [e.g. layoffs rumours, missed targets] Produce: 1. OPENING - 2-3 sentences that say the most important thing first 2. 3-5 TALKING POINTS - each with the point, one supporting fact, and what it means for the audience 3. THE HARD PART - how to address bad news or rumours honestly and specifically 4. LIKELY QUESTIONS - 6 questions people will ask, with honest answers; mark any where the answer is "we don't know yet" and suggest how to say that well 5. CLOSE - what happens next and when they will hear more Rules: plain language, no corporate filler ("synergies", "right-sizing"). Do not promise anything I did not state.
What you get: An opening, talking points with facts and relevance, a plan for bad news, likely Q&A and a close.
Tip: Say the most important thing in the first 30 seconds. Audiences listen hardest at the start and remember the end.
Prepare for a difficult employee conversation
Plan a conversation about performance or behaviour before you have it.
Help me prepare for a difficult conversation with someone who reports to me. THE ISSUE: [WHAT IS HAPPENING] SPECIFIC INCIDENTS: [DATES AND WHAT HAPPENED - as factual as you can] IMPACT: [ON THE TEAM, THE WORK, OR THEM] WHAT I HAVE ALREADY TRIED: [PREVIOUS CONVERSATIONS OR SUPPORT] OUTCOME I WANT: [WHAT CHANGES] MY RELATIONSHIP WITH THEM: [CONTEXT] Produce: 1. OPENING - exactly what to say in the first 30 seconds. Name the topic directly. No warm-up. 2. THE FACTS - my incidents restated as observable behaviour with impact, stripped of interpretation. Flag anything I have written as a judgement rather than an observation. 3. WHAT I MIGHT BE MISSING - three plausible explanations for this behaviour that I have not considered, including ones where the cause is me or the system. 4. QUESTIONS TO ASK - four, designed to let them explain rather than defend. Open, not leading. 5. WHAT GOOD LOOKS LIKE - the specific change, stated so both of us would know it when we see it. 6. IF IT GOES BADLY - responses for: they get upset, they disagree with the facts, they blame someone else, they say nothing. 7. WHAT I SHOULD NOT SAY - phrases to avoid in this specific conversation. Do not write a script for the whole conversation. Prepare me, do not perform it for me.
What you get: A preparation brief with your judgements flagged, alternative explanations, and responses for the four ways it can go wrong.
Tip: Section 3 is the one that changes outcomes. Going in with one explanation of someone's behaviour is how these conversations fail.
Turn a strategy into quarterly goals that cascade
Get from an annual direction to what a team does this quarter.
Turn this strategy into quarterly objectives. STRATEGY / ANNUAL GOAL: [STATEMENT] WHY IT MATTERS: [THE REASONING] TIMEFRAME: [WHICH QUARTER] TEAMS INVOLVED: [LIST AND ROUGH SIZE] CONSTRAINTS: [WHAT CANNOT CHANGE] WHAT IS ALREADY COMMITTED: [EXISTING WORK THAT MUST CONTINUE] Produce: 1. THE QUARTER'S ONE THING - if only one objective could be achieved, which, and why that one. 2. OBJECTIVES - maximum three. Each: a qualitative statement of what will be different by quarter end. 3. KEY RESULTS per objective - 2-3 each. Each must be: - A measurable outcome, not an activity. 'Ship feature X' is activity; 'X% of accounts using feature X weekly' is outcome. - Sourced from a metric that already exists, or accompanied by the work to start measuring it - Given a baseline (current value) and a target. Where I have not given a baseline, mark [BASELINE NEEDED]. 4. TEAM CASCADE - for each team, what they own toward which key result, and what they should stop doing to make room. 5. CAPACITY CHECK - against my stated team sizes and existing commitments, is this plausible? If not, say so and name what must drop. 6. WHAT THIS QUARTER IS NOT ABOUT - explicitly, so teams can say no. Rules: - Never more than three objectives. If I gave you more, tell me which to cut and why. - No key result may be a binary ship/not-ship. - If a key result has no baseline and no way to measure it, it is not a key result.
What you get: Three objectives with outcome-based key results, a team cascade including stop-doing lists, and a capacity reality check.
Tip: 'What to stop doing' in section 4 is what makes goals real. Objectives added to a full workload are wishes.
Prepare for a difficult meeting
Anticipate objections and prepare responses before you are in the room.
Help me prepare for a difficult meeting. Play devil's advocate against my position. MY POSITION: [WHAT I WANT TO HAPPEN] WHY I WANT IT: [MY REASONING] WHO I AM MEETING: [ROLE AND WHAT THEY CARE ABOUT] THEIR LIKELY POSITION: [WHAT I THINK THEY WANT] CONSTRAINTS I CANNOT CHANGE: [BUDGET, TIMELINE, POLICY ETC] Produce: 1. THE STRONGEST CASE AGAINST ME - written as they would argue it, at full strength. Do not soften it. 2. MY THREE WEAKEST POINTS - where my reasoning is thin, and what evidence would fix each 3. LIKELY OBJECTIONS - a table: Objection | Why they will raise it | My response in two sentences | What I should NOT say 4. THE ZONE OF AGREEMENT - what we probably both want, stated in their language not mine 5. MY FALLBACK LADDER - four positions from ideal to walk-away, with the trigger for moving down each rung 6. ONE QUESTION to open with that would make them explain their real constraint Do not reassure me. If my position is weak, say so in point 2.
What you get: A full adversarial brief including your own weak points and a structured fallback ladder.
Tip: 'Do not reassure me' matters. Without it the model validates your plan, which is worse than useless before a negotiation.
Break a client's problem into an issue tree
Structure a messy business question into testable parts, consulting-style.
Build an issue tree for this problem. CLIENT AND CONTEXT: [DESCRIBE] THE QUESTION: [e.g. "Why have profits fallen 20% this year?" or "Should we enter market X?"] WHAT WE ALREADY KNOW: [FACTS] DATA AVAILABLE: [DATA] TIME AND BUDGET FOR THE WORK: [CONSTRAINTS] Produce: 1. THE KEY QUESTION rewritten to be specific and answerable (who, what, by when) 2. THE ISSUE TREE - 3-4 levels, with branches that are mutually exclusive and together cover the whole problem (MECE). Show it as an indented list. 3. HYPOTHESES - for the most likely branches, a testable hypothesis each 4. ANALYSIS PLAN - for each hypothesis: the data or analysis that would prove or disprove it, and the source 5. PRIORITY - which 3 branches to investigate first and why (likely impact x ease of testing) 6. GAPS - any branch where overlap or missing areas mean the tree is not MECE yet Do not jump to answers. The point is the structure.
What you get: A sharpened key question, a MECE issue tree, testable hypotheses, an analysis plan and investigation priorities.
Tip: Check each level for overlap. Branches like 'pricing' and 'revenue' overlap, and overlapping branches double-count the same cause.
Stop the model agreeing with everything you say
Get honest assessment instead of accommodation.
The model agrees with whatever I say. Help me get an honest assessment. WHAT I AM ASKING ABOUT: [YOUR PLAN, WORK, IDEA OR CLAIM] MY PROMPT: """ [PASTE] """ WHAT I SUSPECT IS HAPPENING: [YOUR SENSE OF IT] WHAT I ACTUALLY WANT TO KNOW: [THE REAL QUESTION] Produce: 1. WHY THIS HAPPENS - models are trained to be helpful and agreeable, and they take the premise of a question as given. If I ask 'is my plan good?', the framing already suggests the answer I want. Agreement is the path of least resistance, and it takes deliberate instruction to get past it. 2. THE LEADING FRAMING IN MY PROMPT - quote where I have signalled the answer I want. Common tells: stating my position before asking, asking whether something is good rather than what is wrong with it, and describing my reasoning approvingly. 3. THE NEUTRAL REFRAMING - the same question asked without signalling. Frequently this alone changes the answer substantially. 4. THE ADVERSARIAL INSTRUCTION - asking for what is wrong rather than for an assessment. 'Identify the three weakest points and why a critic would attack them' produces more than 'what do you think'. Write it for my case. 5. THE WITHHOLD-MY-POSITION APPROACH - presenting the situation without saying what I think or what I have decided, so there is nothing to agree with. Often the most effective single change. 6. THE STEELMAN REQUEST - asking for the strongest case against, written as its best advocate would put it. This is more productive than asking for criticism, which produces hedged concerns. 7. THE 'DO NOT REASSURE ME' INSTRUCTION - explicit, and it works. Also: instructing it not to end on an encouraging note, because models reliably undo a critique in the final paragraph unless told not to. 8. THE FALSIFICATION QUESTION - asking what evidence would show I am wrong, and whether it exists. This converts an opinion request into an analytical one. 9. THE SEPARATE-EVALUATION APPROACH - presenting the work without saying it is mine. Models are less accommodating about work presented neutrally. 10. THE REWRITTEN PROMPT. 11. THE HONEST LIMIT - these techniques reduce accommodation and do not eliminate it. A model has no independent stake in my being right or wrong, which is useful, but it also has no real judgement about my situation. For a decision that matters, a person who knows the domain is not replaceable by a better-worded prompt.
What you get: The leading framing in your prompt quoted, a neutral reframing, adversarial instructions, the withhold-your-position approach and an honest limit.
Tip: Point 5 works better than any instruction. Describing the situation without saying what you think leaves nothing to agree with.
Write a policy for AI use at work
Set out how your organisation uses these tools.
Help me write an AI use policy. THE ORGANISATION: [SIZE, SECTOR, WHAT IT DOES] WHO IT APPLIES TO: [everyone / specific teams] WHAT PEOPLE ARE ALREADY DOING: [CURRENT USE, INCLUDING UNOFFICIAL] WHAT WE ARE WORRIED ABOUT: [YOUR CONCERNS] WHAT TOOLS ARE APPROVED: [IF ANY] REGULATORY CONTEXT: [ANY SECTOR REQUIREMENTS] Produce: 1. THE REALISTIC STARTING POINT - people are already using these tools, including where there is no policy. A policy that prohibits everything drives use underground, where there is no oversight at all and no way to know what data has gone where. Design for the actual situation. 2. THE STRUCTURE - a usable policy covers: - What tools are approved, and how to request one - What data may and may not be entered, which is the most important section - Where output may be used and where it may not - What must be disclosed and to whom - Who is accountable for output - What to do when unsure 3. THE DATA SECTION - the highest-risk area and the one to write most carefully. What may never be entered: credentials, customer personal data unless the tool is approved for it, confidential information covered by contracts, and anything regulated in my sector. Be specific rather than general, because a general rule is interpreted variously. 4. THE APPROVED TOOLS - why the distinction matters: consumer and enterprise tiers differ on data retention, training use and processing location. Say what to check before approving a tool and what the approval should record. 5. THE OUTPUT ACCOUNTABILITY PRINCIPLE - the central rule. The person who uses AI-assisted output is accountable for it as if they had produced it themselves. This is clearer than trying to enumerate every acceptable use and it is the rule that actually works. 6. THE VERIFICATION REQUIREMENT - what must be checked before output is used: facts, figures, citations, code, and anything a person will rely on. Say what level of checking different kinds of work require. 7. THE HIGH-CAUTION LIST - where AI-assisted output must not be the basis of a decision without qualified review: decisions about individuals, anything with legal or regulatory weight, safety-related material, and anything going to a customer as authoritative. 8. THE DISCLOSURE RULES - when to say AI was involved: to customers, in submitted work, in creative or editorial contexts, and internally. Different contexts have different expectations and the policy should say which. 9. WHAT NOT TO INCLUDE - rules that cannot be enforced, technology-specific detail that dates immediately, and a prohibition on tools people will use anyway. 10. THE PRACTICAL SUPPORT - a policy alone changes little. What helps: an approved tool that is actually good enough, examples of acceptable and unacceptable use, and a named person to ask. 11. THE REVIEW - this area changes quickly. Set a review interval and name an owner. 12. THE ONE-PAGE VERSION - what people will actually read. Requirements vary by sector and jurisdiction. Anything with regulatory implications needs legal and compliance input.
What you get: A policy designed for actual behaviour, a specific data section, the accountability principle, verification requirements and a one-page version.
Tip: Point 5 is the rule worth building the policy around. Making people accountable for AI-assisted output as their own work covers more cases than any list of permitted uses.
Write a memo that changes a decision
Make an argument in writing to people who will not meet you.
Write a decision memo. THE DECISION AT STAKE: [WHAT NEEDS DECIDING] MY RECOMMENDATION: [WHAT YOU THINK SHOULD HAPPEN] WHO READS THIS: [ROLES, AND WHAT EACH CARES ABOUT] CURRENT DIRECTION: [WHAT WILL HAPPEN IF NOBODY INTERVENES] MY EVIDENCE: [DATA, EXPERIENCE, ANALYSIS] THE COUNTER-ARGUMENT: [WHAT THE OTHER SIDE SAYS] CONSTRAINTS: [BUDGET, TIME, POLITICS] Structure: 1. RECOMMENDATION - first sentence. What you think should happen and the decision required. 2. WHY IT MATTERS NOW - the cost of the current direction, or the closing window. 3. THE ARGUMENT - three points maximum, each: claim, evidence, and what it means. Ordered by strength, strongest first, not by chronology. 4. THE STRONGEST OBJECTION - stated at full strength, as its best advocate would put it, then answered. Never a strawman; a reader who holds that view will stop reading the moment they see it misrepresented. 5. WHAT WOULD CHANGE MY MIND - the evidence that would make you wrong. This is the most persuasive paragraph in any memo, because it signals you are reasoning rather than advocating. 6. THE OPTIONS - including doing nothing, each with consequences. Your recommendation marked. 7. THE ASK - what you need, from whom, by when. Rules: - Under 1,000 words. Detail goes in an appendix. - Every claim needs evidence or an explicit statement that it is judgement - Acknowledge uncertainty where it exists. Overclaiming invites dismissal. - No emotional appeals, no rhetorical questions - Do not bury the recommendation to seem balanced Then: THE READER MOST LIKELY TO DISAGREE, and whether this memo addresses their actual concern or a version of it you find easier to argue with.
What you get: A recommendation-first memo with the strongest objection steelmanned, falsifying evidence named, and options including inaction.
Tip: Point 5 is the most persuasive thing you can write. Naming what would change your mind is the clearest signal that you are not just advocating.
Use AI with care in this job
- Board papers and strategy documents are confidential - use approved tools only.
- Ask the model to disagree; by default it tends to agree with the framing you give it.
- Decisions affecting people should never rest on AI output alone.
Free tools that help
Which AI should you use?
Every prompt here works in the major assistants - ChatGPT, Claude and Gemini - on free or paid plans. For long documents or careful writing many people prefer Claude; for images, voice and everyday tasks ChatGPT and Gemini are strong all-rounders. Models change every few months, so see our AI models guide or answer three questions in the AI Model Picker.
Questions people ask
How do I stop AI just agreeing with me?
Tell it to argue the opposite case, list the weakest assumptions and say what evidence would change its conclusion. See the prompt on stopping the model agreeing with everything.
Should my company have an AI policy?
Yes. A short policy on approved tools, data and review steps prevents most problems. Use the AI policy prompt as a starting draft.
Can AI write my board report?
It can draft from your data and notes. You own the judgements and must check every number.