AI can fill in any strategy framework in seconds, and the result usually fits your competitors as well as it fits you. Here's how to choose the right framework and get analysis you can actually decide with.
Name the decision, pick the one framework built for that kind of question, and give AI the facts it can’t find online. Have it tag which points came from your facts, rank them and argue against its top pick. If the analysis would still hold with a competitor’s name swapped in, go back for more facts. You choose the framework and own the conclusion.
Most AI-generated strategy work fails in the same quiet way. You ask for a SWOT or a Five Forces analysis, the answer comes back tidy and confident, and nothing in it is wrong. It’s just as true of your closest competitor as it is of you, which means it can’t help you choose anything.
A head of marketing gets the planning template on a Thursday afternoon, opens ChatGPT and asks for a SWOT of the business. Four neat quadrants come back: strong brand, loyal customers, limited budget, rising competition, AI disruption. She pastes it into the deck. In the meeting nobody disagrees with a single line, and nobody changes a single decision because of it.
Two choices went wrong before the tool did anything. The framework was picked by habit rather than by the question on the table, and the model was given nothing it couldn’t have found in a business textbook. Fix those two and the same tools start producing analysis you can argue with.
If you already know you need a SWOT, PESTLE or scenario exercise, our guide to using AI for strategic planning with SWOT, PESTLE and scenarios has the prompts for each. This piece sits one step earlier: deciding which framework to run at all.
Strategic frameworks are answers to particular questions. Michael Porter’s five forces describe how competition for profit plays out across an industry: rivalry among existing competitors, plus the power of suppliers, the power of customers, the threat of new entrants and the threat of substitutes.[1] It’s a sharp tool for “is this market worth being in?” and a blunt one for “what should we launch next quarter?”
So start with one sentence describing the decision, then ask which kind of question it really is. The diagram below is the whole method in one picture.
Which question is it, really?
The question-first selector this guide is built on. Pick one lettered question, not several. It's a Future Factors working method based on our own judgment, not a validated research model.
Name the decision before you name the framework. One question, one framework, one run.
The table goes a layer deeper. The last column is the one that matters, because it’s the part AI can’t find on the internet.
| If your question is… | Use | It can’t tell you | The fact only you can supply |
|---|---|---|---|
| Is this market worth being in, and where will margin get squeezed? | Five Forces | What customers want, or what to do next. It describes an industry, not your plan. | Who your buyers could switch to and what switching costs them; which suppliers you can’t easily replace. |
| Where should next year’s growth come from? | Ansoff matrix | Whether you can actually deliver each option. | What current customers already ask you for, and the capacity you really have. |
| What outside changes could hit us in the next few years? | PESTLE | Which items matter. It produces long lists with equal weight. | Which rules, costs or shifts actually touch your revenue and cost lines. |
| We can’t predict the big unknown. How do we plan anyway? | Scenario planning | Which future is likely. Scenarios aren’t forecasts. | The two uncertainties your leadership team genuinely disagrees about. |
| Why do customers choose us, and why do they leave? | Jobs to Be Done | How big the opportunity is. | Real switching stories in customers’ own words, from interviews or sales calls. |
| What should we build, buy or outsource? | Wardley map | Anything quickly. Positions on the map are judgment calls. | Your actual value chain and how mature each part is in your market. |
| Where do we stand, on one page, for the plan? | SWOT | What to do. It lists and doesn’t rank. | Evidence for each item, and a ranking you’re prepared to defend. |
Our own selector, based on how each framework is designed to be used. SWOT sits last on purpose: it’s most useful as a summary of the other work.
The right framework also depends on who’s asking. A single house favourite rarely serves a whole leadership team, because each role brings a different kind of question:
Every framework has a blind spot built in, and AI tends to fill that blind spot with confident general knowledge. Knowing where each one is weak tells you where to look hardest at the draft.
Read down that list and a pattern shows up: each weakness sits exactly where your private information should have gone.
Choosing well is also about choosing less.
Three frameworks on one question tend to produce three documents that half-agree. I’d run one properly and add a second only when the first leaves a specific gap. A Five Forces run showing buyers hold the power, for example, is a good reason to follow up with Jobs to Be Done on why they stay.
A product manager is asked, late on a Friday, whether a new customer segment is worth entering. She asks the chatbot for a Five Forces analysis of the segment and gets five tidy paragraphs, each ending in some version of “moderate.” It would read just as well for any company in her industry, and it says nothing about the two large buyers who dominate the segment and squeeze on price.
That’s the core failure mode, and it has a few recognisable shapes:
There’s some evidence for the sameness problem outside strategy. In a 2024 study published in Science Advances, writers who used a single AI-generated idea produced short stories that were 10.7% more similar to each other than stories from writers working alone.[5] That was creative writing, not planning, so I’d read it as a warning rather than a measurement of strategy work. The mechanism carries over, though: when competitors ask the same tools the same questions, their analysis converges.
The defence is a short test you run on any AI-drafted framework before it goes into a deck.
If you could swap in your closest competitor’s name and the analysis still holds, it isn’t analysis yet.
| Check | Ask yourself | It fails when |
|---|---|---|
| 1. Swap | Replace your company’s name with your nearest competitor’s. Does each line still hold? | More than a couple of lines survive the swap unchanged. |
| 2. Source | Which items came from facts you supplied, and which from the model’s general knowledge? | You can’t point to your own evidence for most of it. |
| 3. Rank | Is it clear which one or two items matter most, and why? | Every box carries the same weight. |
| 4. Numbers | Can you trace every figure to a source you’ve opened yourself? | A market size or growth rate appears that nobody gave it. |
| 5. Decision | Does it point toward a choice someone could disagree with? | Everyone in the room would nod at it. |
Score one point per check passed. Five means it’s ready to discuss. Three or four means go back with more of your facts. Under three, start again from the decision sentence. Our own checklist, a working tool rather than a validated scale.
The second check is the one people skip. Asking “which of these points came from what I gave you?” in the same chat answers it quickly.
Here’s the method end to end on one question. The business is a specialty coffee roaster that sells mostly to independent cafés, with a small online shop on the side. The owner’s decision sentence: “By the end of the month, I’ll decide where next year’s growth effort goes.”
That’s a growth question, so the selector points to Ansoff. Before opening any tool, the owner writes down what only the business knows. Cafés keep asking the account managers about barista training and equipment servicing. Online subscriptions tend to lapse after a few months. Office managers nearby have asked whether the roaster supplies workplaces. And the roastery has spare capacity on weekdays.
With no facts, a prompt about “growth options for a coffee roaster” tends to return the category answer: expand online, launch subscriptions, enter new regions. With the facts in, it gets specific enough to argue with:
| Route | The specific option | Evidence the owner already has | Main risk | What AI did |
|---|---|---|---|---|
| Market penetration Current products, current customers | Win more independent cafés inside the current delivery area. | The sales lead’s list of cafés in range that aren’t customers yet. | Low. Mostly a sales-capacity question. | Drafted the outreach segments from a CRM export, with café names removed. |
| Market development Current products, new customers | Supply offices nearby with wholesale coffee. | Direct enquiries from office managers. | Medium. Different buying process, with procurement and invoicing. | Listed the questions an office buyer would ask that a café wouldn’t. |
| Product development New products, current customers | Barista training and equipment servicing for existing cafés. | Repeated requests logged by account managers. | Medium. Needs staff who can train and repair. | Flagged it as the option with the most customer evidence behind it. |
| Diversification New products, new customers | Open the roaster’s own café. | None beyond the idea. | High. It competes with the roaster’s own customers. | Raised the conflict with existing café accounts unprompted. |
An illustration of the method, not a client story. The owner, not the tool, ranks the four routes and chooses.
The prompt that produced the draft is below. Two parts of it do the heavy lifting: the facts block, and the instruction to say which points came from those facts.
| I’m the [role] at [type of business]. The decision I have to make is: [one sentence, with a deadline]. I’ve chosen [framework] because the question is [what kind of question]. Here are the facts only we know: [customer requests, real numbers, what we tried before and what happened, constraints]. Work only from these facts plus widely known information about the framework itself. Do not invent market sizes, growth rates, competitor moves or quotes. Fill in the framework. For every point, mark it [OURS] if it comes from my facts or [GENERAL] if it doesn’t. Then rank the two or three points that matter most for my decision and explain why. Finally, argue against your own top-ranked point in three sentences, and list what you’d need from me to be more specific. |
Swap in any framework from the selector. The [OURS] and [GENERAL] tags make the Competitor Swap Test take about a minute.
Product development rises to the top because it’s the only route with repeated customer requests behind it. The owner may still choose offices, for reasons the grid doesn’t capture. The framework narrows the choice, and a person makes it.
AI does real work in this process, so it’s worth being exact about the split. The middle column is the part to protect.
| What AI does | What you still own | How it gets checked |
|---|---|---|
| Explains how a framework works and what it’s for | Choosing which framework fits the decision | You can say the decision sentence and the question type out loud before any prompt |
| Turns your notes, transcripts and exports into a first-draft grid | Which facts go in, and whether they’re current and allowed to be shared | Inputs come from your organisation’s approved tools and data rules |
| Tags each point as from your facts or general knowledge | Throwing out the generic points | The Competitor Swap Test, scored before the draft goes in a deck |
| Ranks the points and argues against its own top pick | The ranking you’ll defend in the room | A colleague who wasn’t in the chat reads the ranking and tries to knock it over |
| Drafts the one-page summary for the plan | The conclusion and the recommendation | The decision owner signs it off by name, with the date |
Our recommended split for AI-assisted strategy work. Adapt the checks to your own review habits.
AI can fill the frame and argue with it. The choice of framework and the conclusion belong to a named person.
The row people tend to leave thin is the second one. It feels administrative, and it’s where most of the quality comes from, because a draft is only as specific as what went into it. For the fourth row, a structured pre-mortem prompt is a good way to attack the ranking before the meeting does.
The people who get the most from this tend to know their frameworks well already, so they spot a weak Five Forces draft in seconds. Teams can start on this themselves, and structured training shortens the learning curve and gets a whole leadership team working the same way, rather than one enthusiastic analyst carrying it.
The next time a planning template lands in your inbox, I’d resist opening a chat window first. This order takes a little longer up front and saves the meeting where everyone nods at a generic slide.
If you’re not sure which question you’re holding, the prompt below is a good first move. It asks the tool to help you choose without letting it choose for you.
| Here’s a decision I’m facing: [one sentence]. Here’s the context: [two or three lines]. Ask me up to three questions to work out what kind of question this really is (for example market attractiveness, where growth comes from, outside change, deep uncertainty, why customers buy, or build versus buy). Then suggest the one strategic framework that fits best and one runner-up. For each, tell me what it will not answer for this decision, and list the facts I’d need to gather before running it. Don’t run the framework yet. |
The last line matters. Choosing and running are separate steps, and keeping them apart is what stops the habit-driven SWOT.
For problems that don’t fit a market framework, such as a dip nobody can explain, our companion piece on consulting frameworks like issue trees and the pyramid principle covers the problem-solving tools. For the whole route from fuzzy question to recommendation, the four-gate method for solving strategic problems with AI puts this choice inside a bigger process.
Start with one decision you’re facing this month. Write the sentence, pick the framework, and see whether the draft survives the swap.
The one that matches the decision your role makes most often. Marketing leaders tend to get most from Ansoff and Jobs to Be Done; anyone assessing a market or segment should know Five Forces. Add a second when you hit the first one’s blind spot.
You can, and the output usually gets thinner, with each frame getting the generic version. Run one framework per chat with your facts. If you need a summary, ask for a SWOT built only from the finished analyses.
Use the tools your organisation has approved and follow its data rules. For sensitive material, strip names and replace exact figures with ranges or relative terms; the analysis usually survives. The facts that matter most here are often qualitative anyway, such as what customers ask for and what you’ve tried.
Treat it as a check on your reasoning rather than a verdict. Ask what kind of question it thinks you’re holding. If its reading is better than yours, rewrite your decision sentence; if not, keep your choice. Either way you’ve tested the question before spending an afternoon on the wrong framework.
AI makes drafting fast. It doesn’t make choosing the question, gathering the right facts or spotting a hollow analysis any easier, and that’s where experience shows. Teams can start on their own, and structured training or expert facilitation shortens the learning curve and gives a leadership team a shared way of working.
Framework descriptions were checked on October 7, 2026 against Michael Porter’s Harvard Business Review articles on the five forces, the HBR article by Clayton Christensen and colleagues on Jobs to Be Done, Pierre Wack’s 1985 HBR article on scenarios, and Simon Wardley’s own mapping site. The figure on AI and similarity comes from the University of Exeter’s release on Doshi and Hauser’s 2024 Science Advances paper; the journal page itself wasn’t readable, so only figures in the release are used. We left out the original date of Ansoff’s matrix and the origins of SWOT and PESTLE because we couldn’t confirm them in a primary source. The selector, the three rules, the Competitor Swap Test and the ownership table are Future Factors working methods based on our own judgment. The scenes and the coffee roaster example are illustrations, not client stories.
Weekly tips. Real examples. Practical help for busy professionals.
We care about your data, check out our privacy policy.