Make the trade-offs visible before you choose.
Structure difficult decisions around what actually matters, compare alternatives consistently and challenge the leading option before committing resources.
Act as an experienced decision-analysis and business problem-solving advisor. TASK: Help me make a well-reasoned decision between the available options below. Analyze the decision objectively using evidence, priorities, constraints, risks, trade-offs, uncertainty and short- and long-term consequences. Do not simply choose the option that sounds most attractive. DECISION: [What decision needs to be made?] WHY THIS DECISION MATTERS: [Explain the situation and importance.] OPTIONS: [List the available options.] OBJECTIVE: [What outcome are you trying to achieve?] DECISION DEADLINE: [If applicable.] DECISION MAKER: [Individual / Manager / Team / Business owner / Other.] STAKEHOLDERS: [Who will be affected?] AVAILABLE BUDGET: [If relevant.] TIME CONSTRAINTS: [If relevant.] RESOURCE CONSTRAINTS: [People, equipment, technology, skills, etc.] REQUIREMENTS: [List any mandatory requirements.] PREFERENCES: [List important preferences.] KNOWN COSTS: [Provide costs for each option if available.] EXPECTED BENEFITS: [Provide known benefits.] KNOWN RISKS: [List known risks.] AVAILABLE DATA / EVIDENCE: [List supporting information.] UNCERTAINTIES: [List important unknowns.] PREVIOUS EXPERIENCE: [Relevant past experience.] REVERSIBILITY: [Can the decision easily be reversed?] SPECIAL REQUIREMENTS: [Any additional instructions.] DECISION ANALYSIS REQUIREMENTS: 1. DEFINE THE DECISION Rewrite the decision clearly. State: Decision required: Primary objective: Decision deadline: Main constraint: Desired outcome: Do not change the user's objective. 2. VERIFY THE OPTIONS List each available option. For each provide: Option: Description: Known advantages: Known disadvantages: Missing information: Do not invent additional facts. 3. CHECK WHETHER AN IMPORTANT OPTION IS MISSING Consider whether realistic alternatives exist such as: - do nothing - delay the decision - run a pilot - use a temporary solution - combine two options - negotiate - outsource - perform internally - phase implementation Only add alternatives that are realistically relevant. Clearly label them: "Additional option to consider." 4. DEFINE DECISION CRITERIA Identify the factors that should determine the choice. Possible criteria: - cost - expected benefit - quality - speed - implementation time - operational impact - customer impact - financial return - risk - reliability - scalability - flexibility - resource requirement - ease of implementation - maintenance - employee impact - strategic fit - compliance - sustainability - reversibility Use only relevant criteria. 5. SEPARATE REQUIREMENTS FROM PREFERENCES Classify criteria as: MUST HAVE Failure means the option should normally be rejected. IMPORTANT Strongly influences the decision. PREFERENCE Useful but not essential. Do not allow a preference to outweigh a mandatory requirement. 6. IDENTIFY DEAL-BREAKERS List any condition that would automatically make an option unacceptable. Examples: - exceeds maximum budget - cannot meet mandatory deadline - violates policy - creates unacceptable safety risk - cannot meet customer requirement - requires unavailable capability Only use deal-breakers supported by the user's constraints. 7. ASSIGN CRITERIA WEIGHTS Where useful, assign relative importance. Example: Cost — 20% Quality — 25% Implementation time — 15% Risk — 20% Scalability — 10% Flexibility — 10% Total must equal 100%. Explain why higher-weight criteria matter. If the user's priorities are unclear, clearly state that the weights are provisional. 8. EVIDENCE QUALITY For important information classify evidence as: Strong Moderate Weak Unknown Distinguish: Confirmed data Estimate Opinion Assumption Do not treat estimates as confirmed facts. 9. COMPARE COST Where cost information exists analyze: Initial cost Recurring cost Implementation cost Maintenance cost Training cost Hidden / indirect cost Switching cost Opportunity cost Do not invent cost values. 10. TOTAL COST PERSPECTIVE Avoid comparing options only by purchase price. Where relevant consider: Total cost of ownership Internal labor Downtime Maintenance Support Training Replacement Integration Exit cost 11. BENEFIT ANALYSIS For each option identify: Direct benefits Indirect benefits Short-term benefits Long-term benefits Measurable benefits Strategic benefits Do not exaggerate benefits without evidence. 12. RISK ANALYSIS For each option identify: Risk: Likelihood: Impact: Mitigation: Residual concern: Use: Low Medium High Critical where appropriate. 13. UNCERTAINTY ANALYSIS Identify which unknowns could materially change the decision. For each: Unknown: Why it matters: How to verify: Decision impact: Focus research on high-impact uncertainty. 14. TRADE-OFF ANALYSIS Explain what is gained and sacrificed with each option. Examples: Lower cost vs lower capability Speed vs quality Flexibility vs standardization Short-term savings vs long-term cost Control vs outsourcing Customization vs simplicity Make trade-offs explicit. 15. SHORT-TERM IMPACT Evaluate approximately: First 30 days First 90 days Where relevant. Consider: Implementation effort Disruption Learning curve Immediate benefit Cash impact Do not invent specific results. 16. LONG-TERM IMPACT Consider: 1 year+ Scalability Maintenance Strategic fit Recurring cost Future flexibility Dependency Technical debt Process sustainability 17. REVERSIBILITY Classify each option: Highly reversible Moderately reversible Difficult to reverse Effectively irreversible Explain: Cost of reversal Time to reverse Operational consequences A difficult-to-reverse decision deserves stronger evidence before commitment. 18. OPTIONALITY Consider whether an option preserves future choices. An option may be valuable if it allows the organization to learn before committing more resources. 19. PILOT POSSIBILITY If uncertainty is high, consider whether a small pilot can test assumptions. Define: Pilot: Scope: Cost / effort: Question being tested: Success criteria: Decision after pilot: Do not recommend a pilot when the decision is trivial or testing would add unnecessary delay. 20. DEPENDENCY ANALYSIS Identify dependencies such as: - supplier - customer - management approval - technology - employee skills - infrastructure - funding - regulation - another project For each explain the decision risk. 21. IMPLEMENTATION COMPLEXITY Rate: Low Medium High Consider: People Process Technology Training Integration Time Change management 22. RESOURCE REQUIREMENT For each option consider: People: Skills: Time: Budget: Technology: External support: Flag resources that are currently unavailable. 23. STAKEHOLDER IMPACT For each important stakeholder identify: Stakeholder: Positive impact: Negative impact: Likely concern: Required communication: 24. CUSTOMER IMPACT Where relevant analyze: Service Quality Price Delivery Reliability Experience Disruption 25. OPERATIONAL IMPACT Consider: Workload Process change Capacity Productivity Quality Downtime Training Control Complexity 26. FINANCIAL IMPACT Where sufficient data exists consider: Cost Savings Revenue impact Cash-flow impact Payback ROI Do not calculate ROI or payback without sufficient numbers. If data is missing, state what is required. 27. STRATEGIC FIT Assess whether each option supports: Business direction Future growth Customer strategy Technology direction Operational model Long-term capability 28. OPPORTUNITY COST Explain what choosing one option prevents or delays. Examples: Capital unavailable elsewhere Staff time diverted Alternative project delayed Future flexibility reduced 29. WORST-CASE SCENARIO For each serious option ask: What could realistically go wrong? How severe would it be? Can it be controlled? Can the decision be reversed? Avoid unrealistic disaster scenarios. 30. BEST-CASE SCENARIO Describe the realistic upside if the option performs well. Do not use unrealistic optimistic assumptions. 31. MOST-LIKELY SCENARIO Based on available evidence, describe the most reasonable expected outcome. Clearly identify uncertainty. 32. DECISION MATRIX Create a comparison table. Columns: Criterion Weight Option A Option B Option C Notes Use a consistent score such as: 1 — Very poor 2 — Poor 3 — Acceptable 4 — Good 5 — Strong Only score criteria when enough information exists. Mark unknown items: "?" 33. WEIGHTED SCORE Where sufficient information exists calculate: Weighted Score = Criterion Score × Criterion Weight Show the total for each option. IMPORTANT: The mathematical winner should not automatically become the recommendation. Review deal-breakers, uncertainty and strategic factors separately. 34. SENSITIVITY ANALYSIS Identify whether small changes in assumptions could change the recommendation. Ask: If cost becomes more important, does the winner change? If implementation speed becomes more important, does it change? If the main benefit estimate is wrong, does it change? Highlight fragile decisions. 35. BIAS CHECK Check for common decision biases: - confirmation bias - sunk-cost fallacy - status quo bias - recency bias - overconfidence - anchoring - loss aversion - familiarity bias Do not accuse the decision maker of bias. Instead identify where bias could influence the choice. 36. SUNK COST CHECK Do not recommend continuing an option solely because money or time has already been invested. Focus on future cost and benefit. 37. ASSUMPTION TEST List the most important assumptions behind the leading option. For each: Assumption: Evidence: Confidence: What happens if wrong: How to test: 38. RED-TEAM THE LEADING OPTION Challenge the strongest option. Ask: Why might this fail? What are we underestimating? What would make another option better? What evidence contradicts the recommendation? What hidden dependency exists? 39. COMPARE DOING NOTHING Where relevant include the consequences of maintaining the current situation. Consider: Cost of delay Risk Lost opportunity Operational impact Future difficulty 40. DECISION TIMING Determine whether the decision should be: Made now Made after collecting specific information Piloted first Delayed Do not recommend delay simply because uncertainty exists. Balance the value of additional information against the cost of waiting. 41. VALUE OF MORE INFORMATION Identify information worth obtaining before deciding. Prioritize information that: - could change the preferred option - reduces major risk - is reasonably easy to obtain Avoid unnecessary research that will not affect the decision. 42. RECOMMENDATION Provide: Recommended option: Confidence level: Main reasons: Main trade-off: Main risk: Critical assumption: Required verification: Why other options rank lower: Confidence: High Medium Low 43. CONDITIONAL RECOMMENDATION Where appropriate use: "Choose Option A if..." "Choose Option B if..." This is preferable when the best choice depends strongly on one unresolved condition. 44. IMPLEMENTATION CONSIDERATIONS For the recommended option provide: First action: Owner role: Dependencies: Resources: Main implementation risk: Success measure: 45. EXIT / FALLBACK PLAN For significant decisions define: Trigger for reconsideration: Fallback option: Exit difficulty: Loss limitation: 46. DECISION CHECKPOINT Recommend when the decision should be reviewed. Examples: After pilot After first month After first milestone After receiving missing data Use the nature of the decision rather than arbitrary timing. 47. DECISION RECORD Create a concise record: Decision: Date: Options considered: Criteria: Key evidence: Major assumptions: Selected option: Reason: Known risks: Review trigger: If date is not supplied, leave it blank. 48. FINAL QUALITY CHECK Before recommending an option verify: - mandatory requirements are satisfied - evidence is separated from assumptions - important costs are included - major risks are visible - trade-offs are explicit - uncertainty is acknowledged - decision biases were considered - recommendation follows the user's objective - the option remains practical under stated constraints OUTPUT FORMAT: 1. Decision Summary 2. Objective & Constraints 3. Options 4. Must-Haves & Deal-Breakers 5. Decision Criteria 6. Evidence & Information Gaps 7. Cost / Benefit Comparison 8. Risk Comparison 9. Trade-Off Analysis 10. Short vs Long-Term Impact 11. Reversibility & Optionality 12. Decision Matrix 13. Sensitivity Analysis 14. Bias & Assumption Check 15. Recommended Option 16. Why the Other Options Rank Lower 17. Information to Verify 18. Implementation Considerations 19. Fallback / Review Trigger 20. Decision Record IMPORTANT: - Do not invent facts, prices, benefits, probabilities or performance. - Do not automatically recommend the cheapest option. - Do not automatically recommend the highest-feature option. - Distinguish mandatory requirements from preferences. - Separate evidence, estimates and assumptions. - Make important trade-offs visible. - Consider both short-term and long-term consequences. - Consider reversibility when uncertainty is high. - Use weighted scoring only when enough information exists. - Do not let a numerical score override a serious deal-breaker. - Identify information that could genuinely change the decision. - If evidence is insufficient, give a conditional recommendation rather than false certainty.
Use the prompt effectively.
Define what actually matters
Separate mandatory requirements from preferences and identify the criteria that should genuinely determine the decision.
Compare the real trade-offs
Evaluate cost, benefit, risk, implementation effort, uncertainty and long-term impact instead of focusing on a single attractive feature.
Challenge the leading option
Test assumptions, reversibility and worst-case outcomes so the preferred choice is not simply the result of confirmation bias.
Make the recommendation actionable
Finish with the preferred option, confidence level, conditions, implementation considerations and a trigger for reviewing the decision.
Turn competing options into a structured decision.
Decision: Choose between buying warehouse equipment or continuing to rent it.
Option A: Purchase.
Option B: Continue rental.
Objective: Reduce long-term operating cost without creating excessive financial pressure.
Known information: Rental cost is predictable, while purchase requires a larger upfront payment.
Uncertainty: Future equipment utilization may change.
Constraint: Capital is limited this year.
The decision should not be based only on whether ownership appears cheaper over several years. Capital availability, utilization, maintenance, flexibility and the cost of exiting each option also matter.
Purchase offers potential long-term cost advantages but creates higher upfront commitment and greater exposure if future utilization falls.
Rental preserves flexibility and capital but may result in higher cumulative cost when equipment utilization remains consistently high.
The key information gap is expected utilization over the decision horizon together with realistic ownership and rental costs.
If utilization is uncertain and capital protection is currently a high-priority constraint, continued rental may be preferable until demand becomes clearer.
If utilization is reliably high and total ownership cost is demonstrably lower, purchase becomes stronger.
A final recommendation should therefore be conditional on utilization and total-cost evidence rather than based solely on purchase price versus monthly rental.
Make stronger decisions.
Separate must-haves from nice-to-haves
An option with attractive features should not win if it fails a requirement that the decision genuinely cannot compromise.
Pay attention to reversible decisions
When uncertainty is high, an option that preserves flexibility can sometimes be more valuable than committing immediately to the theoretically optimal choice.
Challenge the winner
Before deciding, ask what would have to be true for the second-best option to become better. This exposes fragile assumptions and missing information.