Act as a strategy analyst helping me decide [STRATEGIC DECISION] for [COMPANY AND BUSINESS MODEL]. Our objective, time horizon, and success metric are [OBJECTIVE AND SUCCESS METRIC]. Here is the relevant evidence: [MARKET, CUSTOMER, FINANCIAL, AND OPERATING FACTS]. Our constraints are [CONSTRAINTS]. Start by defining the decision precisely, including what is in and out of scope. Then create 3–4 genuinely distinct strategic options, including a credible “do nothing or delay” option when relevant. For each option, assess: 1. Customer problem and target segment. 2. Mechanism by which the option creates value or revenue. 3. Required capabilities, dependencies, cost categories, and execution sequence. 4. Likely upside, downside, leading indicators, and failure modes. 5. Competitive response and what must be true for the option to work. Do not invent market size, customer demand, pricing, unit economics, competitor behavior, or internal capacity. Put unproven statements in an Assumptions to test section. Weight criteria according to the stated objective rather than using an arbitrary scorecard. Produce: an executive summary of 150 words or fewer; a comparison table; a recommended option with reasoning and confidence level; a 90-day action plan with owner roles and measurable milestones; and a list of five highest-value validation questions or experiments. Make a clear recommendation even if it is “delay pending evidence.” Before answering, self-check that the recommendation follows from the supplied facts and that the 90-day plan does not assume resources or authority I have not provided. Ask up to 3 clarifying questions only if a required input is missing.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [STRATEGIC DECISION] | State the specific choice the business needs to make. | Should we launch a self-serve plan, expand enterprise sales, or focus on retaining current customers? |
| [COMPANY AND BUSINESS MODEL] | Describe the company, customers, revenue model, and stage. | A 22-person B2B SaaS company selling workflow software to operations teams; annual contracts average $18,000. |
| [OBJECTIVE AND SUCCESS METRIC] | Enter the goal, time horizon, and measurable outcome that matters most. | Reach $3.5M ARR within 12 months while keeping net revenue retention above 105%. |
| [MARKET, CUSTOMER, FINANCIAL, AND OPERATING FACTS] | Paste the relevant validated data, research, customer feedback, performance, and operational facts. | Current ARR is $2.4M; 38 customers; churn is concentrated among customers with fewer than 20 users; sales cycle averages 74 days; 11 interview notes cite setup complexity. |
| [CONSTRAINTS] | List budget, team, timing, legal, technical, and other limits. | $350,000 annual hiring budget; no additional engineering manager until next year; product team has two quarters of roadmap capacity. |
How to use
- Frame one decision with a measurable objective instead of asking for a broad company strategy.
- Paste actual performance data, customer evidence, and constraints, including evidence that conflicts with your preferred option.
- Check the assumption list before treating the recommendation as a plan.
- Follow up with: “Design the cheapest credible test for the two assumptions most likely to invalidate the recommendation.”
Variations
Market entry
Use when deciding whether and how to enter a new market or segment.
Assess entry into [MARKET OR SEGMENT] for [COMPANY AND OFFER]. Our objective is [OBJECTIVE], and available evidence is [EVIDENCE]. Compare no entry, a focused pilot, a partner-led entry, and a full launch where appropriate. For each, examine target customer, unmet need, willingness to pay, route to market, localization or regulatory needs, competitive alternatives, required investment, and exit criteria. Produce a recommendation, a pilot design, milestones, and assumptions needing validation. Do not invent market size, demand, regulations, or partner interest. Ask up to 3 questions only if required inputs are missing.
Pricing decision
Use when you need to test a packaging or pricing change.
Evaluate [PROPOSED PRICING OR PACKAGING CHANGE] for [PRODUCT AND CUSTOMER SEGMENT]. Use these facts: [CURRENT PRICING, SALES DATA, COSTS, AND CUSTOMER EVIDENCE]. Compare keeping the current model, the proposed change, and one alternative. Analyze buyer value metric, willingness-to-pay evidence, discounting, migration risk, sales compensation effects, support burden, and unit-economics implications. Output a decision table, a recommended experiment, success and stop metrics, and customer communication risks. Do not invent elasticity, margins, or competitor prices. Ask up to 3 questions only if required inputs are missing.
Annual strategy memo
Use when turning existing planning inputs into a leadership-ready narrative.
Draft an annual strategy memo for [COMPANY] based only on [PLANNING INPUTS]. The audience is [LEADERSHIP AUDIENCE], and the planning horizon is [TIME HORIZON]. Produce sections for current position, strategic diagnosis, three priorities, explicit tradeoffs, key risks, resource implications, and metrics. Tie each priority to evidence, an accountable role, and a leading indicator. Identify contradictions or missing facts rather than resolving them by assumption. Keep the memo to [WORD COUNT] words. Before answering, check that priorities are few enough to be executable. Ask up to 3 questions only if required inputs are missing.
Tips
- A strategy prompt works best when it asks for one decision and one success metric; “grow the business” is not a decision.
- Include operational capacity alongside market evidence, because an attractive option can still be impossible to execute this quarter.
- Require a delay option so the model can recommend evidence gathering when the facts do not justify a commitment.
- Use the proposed experiments to create real customer conversations, financial models, and owner commitments before approving a high-cost move.
FAQ
Can AI create a business strategy from scratch?
It can organize hypotheses and options, but it cannot replace customer discovery, market validation, or internal financial analysis.
How much data should I provide?
Include the decision metric, current performance, customer evidence, major constraints, and any prior attempts. Even a short set of specific facts is better than broad company descriptions.
Should I use the recommendation as the final decision?
Use it as a structured input to leadership judgment. Validate its highest-impact assumptions before committing money, staffing, or contracts.