Understand the problem before choosing the solution.
Move from a vague issue to a clear problem definition, evidence-based cause analysis, realistic solution options and an implementation plan that can actually be measured.
Act as an experienced professional problem-solving facilitator. TASK: Help me analyze and solve the problem described below in a structured, practical and evidence-based way. PROBLEM: [Describe the problem.] CONTEXT: [Where is this happening? Workplace, operations, business, project, customer issue, personal productivity, etc.] EXPECTED CONDITION: [What should be happening instead.] ACTUAL CONDITION: [What is happening now.] IMPACT: [Operational, financial, customer, quality, time, productivity, safety or other impact.] WHEN IT STARTED: [If known.] FREQUENCY: [One-time / Repeated / Intermittent / Continuous / Unknown.] PEOPLE / TEAMS INVOLVED: [If relevant.] AVAILABLE FACTS: [List confirmed facts.] AVAILABLE DATA: [List relevant figures, reports, KPIs, observations or evidence.] POSSIBLE CAUSES: [List any suspected causes, if known.] CONSTRAINTS: [Budget, time, resources, policy, customer requirements, system limitations, staffing, etc.] SOLUTIONS ALREADY TRIED: [List previous attempts and results.] DEADLINE / URGENCY: [If applicable.] SPECIAL REQUIREMENTS: [Any additional instructions.] PROBLEM-SOLVING REQUIREMENTS: 1. DEFINE THE PROBLEM Rewrite the issue as a clear problem statement. Use: What is happening? Where? When? Who / what is affected? What should be happening instead? How large is the gap? Why does it matter? Keep the statement factual. Do not include an assumed cause unless confirmed. 2. SEPARATE FACTS FROM ASSUMPTIONS Create: CONFIRMED FACTS Information supported by evidence. UNCONFIRMED INFORMATION Information reported but not validated. ASSUMPTIONS Possible explanations requiring verification. Do not treat assumptions as facts. 3. DEFINE THE GAP Clearly compare: Expected condition: Actual condition: Gap: Impact: If measurable information exists, quantify the gap. Do not invent numbers. 4. ASSESS THE IMPACT Consider relevant areas: - customer - operational - financial - quality - productivity - service level - time - people - safety - compliance - reputation Prioritize the impacts that actually matter. 5. DETERMINE URGENCY Classify the problem as: Critical High Medium Low Explain the reason. Base urgency on consequence and time sensitivity, not inconvenience alone. 6. IDENTIFY IMMEDIATE CONTAINMENT If the problem could worsen, identify short-term actions to control the impact. Examples: - isolate affected work - pause a process - verify data - communicate with affected stakeholders - use a temporary workaround - check similar cases - preserve evidence Do not confuse temporary containment with the permanent solution. 7. MAP THE PROCESS Where relevant, outline the process surrounding the problem. For each step identify: Step: Expected activity: Actual condition: Possible failure point: Available evidence: 8. BREAK DOWN THE PROBLEM Divide a complex problem into smaller parts. Possible dimensions: - location - time - product - customer - employee - shift - system - process stage - supplier - transaction - equipment Identify where the issue occurs and where it does not occur. 9. LOOK FOR PATTERNS Analyze: - when the problem happens - when it does not happen - which locations are affected - which products / tasks are affected - whether frequency is increasing - whether the issue is tied to a particular condition Do not claim a trend without enough data. 10. IDENTIFY POSSIBLE CAUSES Generate plausible causes under relevant categories: People Process System Equipment Material Method Measurement Environment Management control Supplier / external dependency Do not force every category into the analysis. 11. PRIORITIZE CAUSES For each possible cause provide: Cause: Supporting evidence: Contradicting evidence: Likelihood: Verification required: Use: High likelihood Medium likelihood Low likelihood Insufficient evidence 12. ROOT-CAUSE DEPTH Where the issue requires deeper investigation, use techniques such as: - 5 Whys - cause-and-effect analysis - process comparison - before / after comparison - failure-point analysis Do not stop at vague causes such as: "Human error." "Poor communication." "Lack of attention." "System issue." Ask why that condition was possible. 13. IDENTIFY INFORMATION GAPS List the information needed before reaching a confident conclusion. For each gap: Information required: Why it matters: How to obtain it: Who may have it: 14. DEFINE SOLUTION CRITERIA Before proposing solutions, define what a good solution must achieve. Examples: - solve the actual cause - reduce recurrence - remain within budget - be practical - avoid customer disruption - preserve quality - maintain safety - be easy to sustain - be measurable 15. GENERATE SOLUTION OPTIONS Create multiple realistic options. Do not immediately choose the first idea. For each option provide: Option: How it works: Problem addressed: Expected benefit: Resources required: Time to implement: Risks: Limitations: 16. INCLUDE LOW-COST OPTIONS Where appropriate, include: - process change - sequencing change - clearer ownership - simple checklist - approval control - visual control - better information flow - scheduling change - layout change - exception report Do not recommend expensive technology when a simpler control could solve the problem. 17. INCLUDE SYSTEM / AUTOMATION OPTIONS ONLY WHEN JUSTIFIED Technology may help when: - volume is high - manual error is recurring - data exists - control can be automated - business benefit justifies cost Do not recommend automation merely because it sounds advanced. 18. COMPARE OPTIONS Evaluate each solution using criteria such as: Effectiveness Cost Implementation time Complexity Risk Sustainability User impact Scalability Use a simple rating: Strong Moderate Weak or High Medium Low Explain the reasoning. 19. RECOMMEND THE BEST OPTION Choose the strongest practical solution based on available information. Explain: Why this option is preferred: What cause it addresses: Expected result: Main limitation: What must be verified first: If evidence is insufficient to choose, say so. 20. CONSIDER COMBINED SOLUTIONS Some problems require several controls. Separate: Primary solution Supporting controls Monitoring controls Avoid creating unnecessary complexity. 21. CHECK FOR UNINTENDED CONSEQUENCES For each major solution consider: - new delays - additional workload - customer impact - cost - safety risk - quality risk - workarounds - system conflicts - dependency shifts 22. CREATE AN IMPLEMENTATION PLAN For the recommended solution provide: Action: Purpose: Responsible role: Priority: Dependency: Target: Evidence of completion: Do not invent employee names or official deadlines. 23. PHASE THE IMPLEMENTATION Where useful, structure: Immediate Short-term Medium-term For complex changes: Pilot Review Adjust Rollout 24. DEFINE OWNERSHIP Assign responsibility by role. Examples: Manager Supervisor Team Leader Operations Quality IT Finance Procurement Supplier Project Lead Do not assume organizational roles that were not provided unless clearly marked as suggestions. 25. DEFINE SUCCESS MEASURES For each important solution define: Metric: Baseline: Target: Review period: Success criteria: If the baseline is unavailable, state: "Baseline required." Do not invent targets. 26. VERIFY EFFECTIVENESS Explain how to check whether the solution worked. Possible methods: - KPI review - audit - sample check - transaction review - customer feedback - error rate - cycle count - observation - repeat measurement 27. MONITOR RECURRENCE Define warning indicators. Examples: - repeated complaints - repeated discrepancies - repeated delays - error rate - backlog - exception frequency - rework - downtime 28. CREATE A FALLBACK PLAN For important problems include: If the solution fails: Immediate fallback: Escalation required: Alternative option: 29. DECISION POINTS Identify decisions management may need to make. For each: Decision: Options: Recommended choice: Impact of delay: 30. CONSTRAINT REVIEW Check the proposed solution against: - budget - time - staffing - policy - compliance - customer requirements - technology - available skills Do not recommend an option that clearly violates stated constraints. 31. STAKEHOLDER IMPACT Identify: Stakeholder: Impact: Required communication: Required involvement: 32. COMMUNICATION PLAN Where relevant, define what should be communicated to: - management - employees - customers - suppliers - other departments Keep communication proportional to the problem. 33. PREVENT RECURRENCE Ask: What control would have prevented this? What control should detect it earlier? What process change would make recurrence less likely? Can the solution be standardized elsewhere? 34. STANDARDIZATION If the solution works, consider: - SOP update - checklist - training - template - system control - audit point - KPI - visual management Do not standardize a solution before verifying effectiveness. 35. LESSONS LEARNED Summarize: What happened? Why was it difficult to detect? What allowed the problem? What solved it? What should change permanently? Could similar problems exist elsewhere? 36. SIMPLE ACTION TRACKER Create: Action: Owner role: Priority: Target: Status: Verification: Use: Not Started In Progress Blocked Pending Verification Completed 37. MANAGEMENT SUMMARY Provide a concise final summary: Problem: Impact: Most likely cause: Evidence confidence: Recommended solution: Immediate action: Main risk: Decision required: Success measure: Next review: OUTPUT FORMAT: 1. Problem Statement 2. Facts vs Assumptions 3. Expected vs Actual 4. Impact & Urgency 5. Immediate Containment 6. Process / Pattern Analysis 7. Possible Causes 8. Information Gaps 9. Root-Cause Direction 10. Solution Criteria 11. Solution Options 12. Option Comparison 13. Recommended Solution 14. Implementation Plan 15. Risks & Constraints 16. Success Measures 17. Effectiveness Verification 18. Recurrence Prevention 19. Action Tracker 20. Management Summary IMPORTANT: - Do not invent facts, data, causes or results. - Separate evidence from assumptions. - Do not jump directly from problem to solution. - Do not stop analysis at vague causes such as human error. - Do not recommend technology unnecessarily. - Consider simpler practical options first. - Do not present a suspected root cause as confirmed. - Compare multiple realistic solutions where possible. - Link the recommended solution to the actual problem or supported cause. - Define how success will be measured. - If critical information is missing, clearly identify what must be verified before making a final decision.
Use the prompt effectively.
Define the real problem
Separate what is actually happening from suspected causes so the solution is aimed at the real performance gap rather than an assumption.
Investigate before choosing
Review evidence, patterns, process failures and possible causes before jumping straight to a preferred solution.
Compare practical options
Evaluate several possible solutions by effectiveness, cost, effort, risk and sustainability instead of assuming the first idea is best.
Measure whether it worked
Define implementation actions, success criteria and follow-up checks so the problem is not considered solved without evidence.
Turn an operational problem into practical solution options.
Problem: Customer orders are frequently dispatched later than planned.
Expected condition: Orders received before cut-off should dispatch the same day.
Current condition: Around 15% are carrying into the following day.
Known facts: Picking usually finishes on time, but packing backlog increases late in the shift.
Constraint: No additional headcount is currently approved.
Goal: Reduce late dispatches without adding staff.
Problem focus: The available evidence points more strongly toward a late-shift packing bottleneck than a general order-processing problem.
Information to verify: Hourly order arrival volume, packing productivity, staffing by hour, carton/material availability and whether large batches reach packing simultaneously.
Possible solutions should include workload leveling, earlier release to packing, temporary cross-utilization, batching changes and removal of packing interruptions before considering additional automation.
Compare each option against dispatch improvement, implementation effort, operational disruption and sustainability.
Recommended actions should target the confirmed bottleneck rather than simply asking employees to work faster.
Success should be measured using same-day dispatch performance plus packing backlog by time of day.
Solve problems more systematically.
Don't solve the symptom
A visible problem may be the result of an earlier failure in the process. Understand where the gap begins before deciding what to change.
Compare more than one solution
The strongest option is not always the most expensive or technically advanced. Compare effectiveness, effort, risk and sustainability.
Require evidence of improvement
Define a measurable result and review period so you can determine whether the solution genuinely worked or only appeared to help temporarily.