Make important business decisions with a clear framework.
Define the real decision, compare realistic alternatives, challenge assumptions and understand what could change the recommendation before committing resources.
Act as an experienced business strategist, commercial analyst and management decision advisor. TASK: Analyze the business decision below and recommend a practical course of action. The goal is to help management make a structured decision using objectives, evidence, constraints, alternatives, financial considerations, risks, trade-offs, reversibility and implementation requirements. Do not invent market data, costs, revenues, probabilities, customer behavior, competitor information, legal requirements or business facts. Clearly distinguish between: - confirmed facts - calculated values - assumptions - estimates supplied by the user - hypotheses - unknowns requiring validation BUSINESS: [Business / organization.] DECISION: [Clearly describe the decision that needs to be made.] WHY THIS DECISION IS NEEDED: [Problem, opportunity or trigger.] OBJECTIVE: [What outcome should the decision achieve?] OPTIONS ALREADY CONSIDERED: [List known alternatives.] CURRENT SITUATION: [Relevant background.] CUSTOMERS / STAKEHOLDERS: [Who will be affected?] FINANCIAL INFORMATION: [Costs, revenue, budget, margin, investment, etc. if known.] OPERATIONAL INFORMATION: [Processes, people, systems, capacity, suppliers, etc.] MARKET INFORMATION: [Known demand, competitors, trends or alternatives.] TIME CONSTRAINT: [Decision deadline or implementation window.] RESOURCE CONSTRAINTS: [Budget, people, systems, expertise, etc.] LEGAL / CONTRACTUAL CONSTRAINTS: [Known requirements only.] RISK TOLERANCE: [If known.] SUCCESS CRITERIA: [How will success be judged?] SPECIAL REQUIREMENTS: [Any additional instructions.] BUSINESS DECISION ANALYSIS REQUIREMENTS: 1. DEFINE THE DECISION Rewrite the decision as one clear question. Example: "Should the business outsource delivery or continue managing delivery internally?" Avoid vague questions such as: "What should we do?" 2. IDENTIFY THE DECISION TYPE Classify the decision where useful: Strategic Financial Operational Commercial Technology People Supplier Investment Expansion Product Customer Risk 3. DEFINE THE OBJECTIVE State: Primary objective Secondary objectives Desired outcome Do not assume profit is always the only objective. 4. DEFINE SUCCESS Identify how management will know whether the decision worked. Use supplied metrics where available. Do not invent targets. 5. REVIEW THE EVIDENCE Classify inputs as: CONFIRMED Supported by supplied information. CALCULATED Derived mathematically from confirmed inputs. ASSUMPTION Believed but not verified. HYPOTHESIS Needs testing. UNKNOWN Important information missing. 6. IDENTIFY HARD CONSTRAINTS Hard constraints cannot reasonably be violated. Examples: Available budget Contract requirement Legal requirement Physical capacity Deadline Technical compatibility Do not treat preferences as hard constraints. 7. IDENTIFY PREFERENCES Separate desirable characteristics from mandatory requirements. Examples: Lower cost Faster implementation More flexibility Better customer experience 8. IDENTIFY DECISION CRITERIA Possible criteria include: Cost Profitability Revenue potential Customer impact Quality Speed Operational complexity Strategic fit Scalability Risk Flexibility Resource requirement Implementation difficulty Time-to-value Use only relevant criteria. 9. PRIORITIZE CRITERIA Classify criteria as: Critical Important Useful Avoid treating every criterion equally. 10. WEIGHT CRITERIA Where useful assign percentage weights totaling 100%. Explain the reasoning. If weights are inferred, clearly state: "Provisional weighting for discussion." Do not present inferred weights as management-approved priorities. 11. IDENTIFY ALL REALISTIC OPTIONS Include: User-provided alternatives Reasonable additional alternatives Status quo / do nothing Pilot / limited implementation Hybrid approach where relevant. 12. DO NOT FORCE BINARY DECISIONS If the choice appears to be A vs B, check whether: Partial implementation Phased implementation Hybrid model Temporary solution could be legitimate alternatives. 13. INCLUDE THE STATUS QUO Explain what happens if the business makes no change. The status quo should be evaluated rather than assumed to be risk-free. 14. DEFINE EACH OPTION For every option describe: What it involves Resources required Major dependency Expected benefit Major drawback 15. CHECK OPTION FEASIBILITY Before scoring an option verify whether it satisfies hard constraints. Mark: Feasible Conditionally feasible Not currently feasible 16. DISQUALIFY WHEN NECESSARY An option that violates a critical constraint should not win merely because its weighted score is high. 17. IDENTIFY INFORMATION REQUIREMENTS For each option identify what must be known before a reliable decision can be made. 18. FINANCIAL ANALYSIS Where data exists evaluate: Initial investment Recurring cost Operating cost Revenue impact Cost savings Contribution Cash-flow impact Do not invent missing numbers. 19. CALCULATE TOTAL COST Where relevant: Total Cost = Initial Cost + Recurring Cost + Operating Cost + Other Relevant Costs State the period being analyzed. 20. ROI Calculate only when sufficient data exists. ROI % = (Net Benefit / Investment) × 100 Show inputs. 21. PAYBACK PERIOD Where cash benefits are reasonably known: Payback Period = Initial Investment / Periodic Net Benefit State assumptions. 22. BREAK-EVEN Where relevant calculate the volume or time required to recover costs. Do not calculate without adequate inputs. 23. NPV For significant long-term investments, mention NPV where appropriate. Only calculate when: Cash flows Time periods Discount rate are supplied or explicitly assumed. 24. AVOID FAKE FINANCIAL PRECISION Do not invent: Revenue growth Cost savings Conversion improvements Market share ROI 25. USE SCENARIOS Where outcomes are uncertain, consider: Favorable scenario Base scenario Adverse scenario Do not assign probabilities unless evidence supports them. 26. CUSTOMER IMPACT For each option assess: Customer value Experience Price Availability Quality Service Trust Use available evidence. 27. EMPLOYEE / TEAM IMPACT Consider: Workload Skills Training Roles Change effort Capacity Do not invent employee sentiment. 28. OPERATIONAL IMPACT Assess: Process Capacity Lead time Quality Inventory Systems Suppliers Service level Complexity 29. TECHNOLOGY IMPACT Where relevant assess: Compatibility Integration Security Data Maintenance Vendor dependency Scalability 30. SUPPLIER IMPACT Where relevant consider: Availability Lead time Quality Contract Dependency Alternative supply 31. STRATEGIC FIT Ask: Does the option support the business direction? Does it strengthen an important capability? Does it distract from core priorities? Does it create useful future options? 32. CAPABILITY FIT Assess whether the organization has: People Skills Technology Process Management capacity Funding needed to execute the option. 33. OPPORTUNITY COST For each major option ask: What else could the business do with the same: Money Time People Management attention Capacity? 34. IDENTIFY RISKS For every option identify material: Financial Operational Customer Strategic Technology Supplier People Compliance risks. 35. ASSESS RISK QUALITATIVELY Use: Low Medium High unless reliable quantitative data exists. 36. DO NOT INVENT PROBABILITIES Do not state: "70% chance of success" without supporting data. 37. IDENTIFY RISK MITIGATION For major risks provide practical mitigation. 38. IDENTIFY RESIDUAL RISK Explain what important risk remains after mitigation. 39. IDENTIFY DEPENDENCIES For each option identify major dependencies such as: Supplier Technology Approval Funding Recruitment Customer adoption Data Contract Training 40. IDENTIFY ASSUMPTIONS For each material assumption provide: Assumption Why it matters Confidence Validation method Impact if wrong 41. IDENTIFY CRITICAL ASSUMPTIONS Prioritize assumptions capable of changing the recommended option. 42. ASSESS REVERSIBILITY Classify each option: Highly reversible Partially reversible Difficult to reverse 43. ASSESS COMMITMENT Consider: Capital commitment Contract commitment People commitment Technology lock-in Customer commitment 44. ASSESS FLEXIBILITY Identify whether the option preserves future choices. 45. IDENTIFY EXIT COST Where relevant consider: Cancellation Migration Write-off Contract termination Retraining Customer disruption Do not invent amounts. 46. ASSESS TIME-TO-VALUE Estimate qualitatively when numerical evidence is unavailable. Use: Short Medium Long Explain the basis. 47. ASSESS IMPLEMENTATION COMPLEXITY Consider: Number of teams Technology Process change Training Supplier dependency Approval Customer migration 48. CREATE A DECISION MATRIX For feasible options create: Criterion Weight Option score Weighted score Rationale Use a simple scale such as 1–5. 49. EXPLAIN THE SCORE Every important score should have a reason. Do not create arbitrary numbers merely to make the table look analytical. 50. LABEL PROVISIONAL SCORES If evidence is incomplete, state that scoring is provisional. 51. DO NOT LET THE MATRIX OVERRIDE REALITY A mathematical winner should not override: Hard constraints Critical risk Missing evidence Legal requirement Safety requirement Strategic incompatibility 52. PERFORM SENSITIVITY ANALYSIS Test whether the recommendation changes if: Cost becomes more important Risk becomes more important Speed becomes more important A major assumption changes 53. IDENTIFY DECISION DRIVERS Explain which 2–4 factors most strongly determine the result. 54. IDENTIFY DECISION BREAKERS State what evidence or event could reverse the recommendation. 55. COMPARE BEST AND SECOND-BEST Explain why the recommended option is stronger than the nearest alternative. 56. EXPLAIN WHY NOT THE OTHERS For each rejected major option give the main reason. 57. CONSIDER A PILOT Where uncertainty is significant, determine whether the decision can be tested through: Pilot Prototype Trial Limited region Small customer group Single department Temporary contract 58. DEFINE PILOT OBJECTIVE State what uncertainty the pilot should resolve. 59. DEFINE PILOT SUCCESS MEASURES Use supplied baselines or measurable outcomes. Do not invent arbitrary targets. 60. DEFINE STOP CONDITIONS Identify conditions under which the pilot should be: Stopped Adjusted Expanded Avoid unsupported numeric thresholds. 61. IDENTIFY INFORMATION VALUE Ask: Which missing information would most improve decision confidence? Prioritize research accordingly. 62. AVOID ANALYSIS PARALYSIS Not every unknown requires research. Focus on uncertainties capable of changing the decision. 63. DISTINGUISH REVERSIBLE VS IRREVERSIBLE DECISIONS For highly reversible decisions, faster experimentation may be appropriate. For difficult-to-reverse decisions, stronger evidence may be required. 64. IDENTIFY REGRET RISK Ask: Which option would management most regret choosing if the key assumption proves wrong? Use this as supporting analysis, not the only decision rule. 65. CONSIDER DOWNSIDE PROTECTION Identify how the business can limit losses while preserving potential upside. 66. CONSIDER OPTIONALITY Prefer options that preserve useful future choices when uncertainty is high, where commercially reasonable. 67. CONSIDER SECOND-ORDER EFFECTS Ask what could happen after the immediate effect. Example: Outsourcing reduces internal workload → dependency on supplier increases → internal capability declines. 68. IDENTIFY UNINTENDED CONSEQUENCES For each major option consider: Customer behavior Employee workload Supplier dependency Process complexity Cost shifting Quality Future flexibility 69. CHECK FOR BIAS Challenge: Confirmation bias Sunk-cost fallacy Status-quo bias Overconfidence Recency bias Competitor imitation Fear of change 70. SUNK COST Costs already incurred should not automatically justify continuing a poor option. Distinguish sunk costs from future costs. 71. STATUS-QUO BIAS Do not assume no change is safer. Identify the risk of inaction. 72. ACTION BIAS Do not assume making a change is automatically better than maintaining the current approach. 73. COMPETITOR BIAS Do not copy competitors without checking strategic fit. 74. CONFIRMATION BIAS Actively identify evidence that could contradict the preferred option. 75. PRE-MORTEM For the recommended option ask: "Imagine this decision failed badly. What were the most plausible reasons?" Use the result to strengthen mitigation. 76. RED-TEAM THE RECOMMENDATION Present the strongest argument against the recommended option. 77. IDENTIFY NO-REGRET ACTIONS List actions worth doing regardless of which final option is selected. 78. IDENTIFY DECISION DEADLINE Use the supplied deadline. If unknown state: "Decision timing to be established." 79. IDENTIFY COST OF DELAY Where evidence exists assess whether delaying the decision creates: Lost revenue Higher cost Customer impact Capacity problem Risk exposure Lost opportunity Do not invent values. 80. IDENTIFY APPROVAL NEEDS Determine which decisions may require: Management Finance Legal IT Operations Customer Supplier approval. Do not invent company authority structures. 81. IDENTIFY STAKEHOLDERS For each major stakeholder identify: Interest Impact Input needed Communication need 82. IDENTIFY DECISION OWNER Use the supplied role. If unknown state: "Decision owner to be assigned." 83. IDENTIFY IMPLEMENTATION OWNER Decision owner and implementation owner may differ. 84. DEFINE IMPLEMENTATION PHASES Where appropriate: Validate Approve Prepare Pilot Implement Monitor Review 85. DEFINE FIRST ACTIONS List the first 3–5 concrete actions following the decision. 86. DEFINE SUCCESS MEASURES For implementation provide: Metric Baseline Target Data source Review point If baseline or target is unknown, mark it as needing establishment. 87. DEFINE LEADING INDICATORS Where useful identify early indicators that implementation is progressing. 88. DEFINE LAGGING INDICATORS Identify final business outcomes where relevant. 89. DEFINE REVIEW POINT Recommend a formal decision review after enough evidence becomes available. Do not invent a date when none is supplied. 90. DOCUMENT THE DECISION Create a concise decision record containing: Decision Date Owner Options considered Key criteria Evidence Assumptions Risks Reason Review trigger Use placeholders for unknown date or owner. 91. IDENTIFY CONDITIONS FOR REVERSAL State what would justify revisiting the decision. 92. IDENTIFY CONDITIONS FOR EXPANSION For phased decisions, explain what evidence would justify scaling. 93. IDENTIFY CONDITIONS FOR PAUSE Explain what warning signs should cause management to stop and review. 94. MANAGEMENT SUMMARY Provide: Decision Recommended option Main reason Major benefit Major risk Critical assumption Required management action 95. EXECUTIVE VERSION Create a concise decision brief suitable for senior management. 96. CONFIDENCE LEVEL Rate recommendation confidence: High Medium Low based on: Evidence quality Assumption sensitivity Risk Option difference Missing information 97. EXPLAIN CONFIDENCE Do not give a confidence label without explaining why. 98. IDENTIFY NEXT RESEARCH PRIORITIES Rank: P1 — Could change the decision P2 — Important P3 — Useful 99. FINAL RECOMMENDATION State clearly: Recommended option Why Conditions Risks What should happen next Avoid vague conclusions such as: "It depends." If evidence is insufficient for a final choice, recommend the specific validation action required before deciding. 100. FINAL QUALITY CHECK Before completing verify: - the decision question is clear - realistic alternatives were considered - status quo was included where relevant - hard constraints were respected - facts and assumptions are separated - financial values were not invented - probabilities were not invented - risks and residual risks are visible - opportunity cost was considered - reversibility was considered - decision matrix scores are explained - sensitivity was tested - strongest counterargument was considered - recommendation is actionable - conditions that could change the recommendation are visible - implementation and review are included OUTPUT FORMAT: 1. Decision Statement 2. Objective & Success Criteria 3. Evidence Review 4. Constraints 5. Decision Criteria 6. Options Considered 7. Feasibility Check 8. Financial Analysis — if possible 9. Customer / Stakeholder Impact 10. Operational Impact 11. Risk Analysis 12. Assumptions & Unknowns 13. Decision Matrix 14. Sensitivity Analysis 15. Option Comparison 16. Strongest Argument Against the Recommendation 17. Recommended Option 18. Why the Other Options Were Not Selected 19. Conditions That Could Change the Decision 20. Pilot / Validation Plan — if appropriate 21. Implementation Plan 22. Success Measures 23. Decision Review Triggers 24. Decision Record 25. Executive Summary 26. Confidence Level 27. Immediate Next Actions IMPORTANT: - Do not invent financial values, market facts, probabilities, competitor information or customer behavior. - Separate confirmed evidence from assumptions. - Include the status quo where it is a legitimate alternative. - Do not force a binary choice when phased or hybrid options exist. - Hard constraints override weighted scoring. - Explain all important decision-matrix scores. - Treat inferred weights and scores as provisional. - Consider opportunity cost, reversibility and the cost of inaction. - Identify the strongest argument against the recommendation. - Do not allow sunk costs or competitor behavior to determine the decision automatically. - Recommend validation when a critical unknown could change the outcome. - Make the final recommendation clear, conditional where necessary and actionable.
Use the prompt effectively.
Frame the real decision
Turn a vague business question into a clear choice with a defined objective, success criteria, hard constraints and realistic alternatives.
Compare options systematically
Evaluate financial, customer, operational, strategic and risk implications using transparent criteria instead of choosing the option that initially feels most attractive.
Challenge the preferred answer
Test assumptions, sensitivity, opportunity cost, reversibility and the strongest counterargument before treating one option as the winner.
Turn the decision into execution
Define validation, implementation, success measures and review triggers so management can determine whether the decision actually produced the expected result.
Evaluate a business decision without pretending missing evidence is known.
Decision: Should a small online retailer continue packing orders internally or outsource fulfillment?
Objective: Support growth without reducing customer service quality.
Known issue: Internal order volume is increasing.
Known constraint: The business has limited warehouse space.
Outsourcing information: A fulfillment provider is available, but final pricing and service performance have not yet been verified.
Unknown: Future order volume, full outsourcing cost, service-level performance and customer impact.
Decision statement: Should the retailer retain internal fulfillment, outsource it, or test a hybrid model to support growth while maintaining service quality?
Hard constraint: Available warehouse space is limited, making continued internal growth potentially difficult without additional capacity.
Critical unknown: Outsourcing should not be selected based on assumed cost savings because complete provider pricing and service-performance evidence are not yet available.
Alternative worth testing: A limited fulfillment pilot may provide stronger evidence than immediately transferring all operations.
Decision driver: The choice depends heavily on total fulfillment economics, required capacity, service reliability and the business's expected order volume.
Recommended next action: Obtain a complete provider cost structure and service commitments, compare them against current internal fulfillment economics and test performance with a controlled order segment if commercially practical.
Make decisions that remain defensible when assumptions change.
Don't force an A-or-B choice
Many business decisions have a third option: pilot, hybrid, phased implementation or maintaining the status quo temporarily while gathering better evidence.
Hard constraints beat the score
A decision matrix can organize judgment, but an option that violates a critical legal, financial, technical or operational constraint should not win because its weighted total is higher.
Ask what could reverse the decision
A useful recommendation explains not only why one option is preferred, but also which assumption, risk or new evidence would justify changing course.