Day 1: Problem Definition and Diagnostic Construction

Framing the Right Problem

• Describe current gaps against expected conditions
• Identify where and when failure occurs
• Separate the issue from suggested solutions
• Reframe several ambiguous management cases

Gathering Relevant Evidence

• Identify data capable of changing understanding
• Verify source context and information timing
• Interview stakeholders without leading their answers
• Compose concise and neutral fact sheet

Structured Causal Diagnosis

• Use iterative questioning without oversimplifying conditions
• Map interacting causes and resulting consequences
• Test proposed causes against available evidence
• Conduct collaborative structured root-cause analysis

Day 2: Developing Alternatives and Making Decisions

Expanding the Solution Space

• Generate options from deliberately different perspectives
• Combine complementary ideas into stronger alternatives
• Avoid rejecting proposals before full understanding
• Create options under a defined constraint

Decision Comparison Criteria

• Choose criteria reflecting the intended outcome
• Assign weights matching each criterion's importance
• Score alternatives using evidence over impressions
• Apply a transparent decision matrix

Testing Decisions Before Commitment

• Anticipate side effects from each option
• Identify risks and relevant mitigation conditions
• Use critical reviewers to challenge logic
• Run challenge session before final approval

Day 3: Solution Execution and Decision Laboratory

Corrective Action Planning

• Define steps owners and deadlines
• Align resources with approved solution scope
• Set early success and failure indicators
• Write an accountable corrective action card

Monitoring and Adaptation

• Collect implementation evidence at suitable intervals
• Compare actual impact against original expectations
• Adapt intervention without concealing material deviation
• Carry out a concise learning review

Problem File Simulation

• Diagnose an issue using progressive information
• Defend the cause and selected alternative
• Respond to risks emerging during implementation
• Document final decision and problem-solving lessons

• Ambiguous cases discouraging premature movement toward solutions
• Causal option and evaluation tools applied progressively
• Peer reviews testing evidence quality and decision logic
• A complete problem-file simulation from diagnosis through follow-up