Decision Analysis: Use Numbers to Make Better Choices
Quantitative Management & Decision Analysis: leave with a decision tree, expected-value calculation and a sensitivity check in a spreadsheet.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why quantitative management & decision analysis matters — the common problem: Important choices under uncertainty are made on gut feel without comparing outcomes.
- 2Core concepts in plain language: Operations research, linear programming, optimization, queuing theory, simulation, decision trees
- 3Going further: expected-value analysis, probability, forecasting methods, scenario analysis, sensitivity analysis, multi-criteria decision-making
- 4Framework walkthrough: Eisenhower Matrix, Decision Trees, RACI
- 5Practical workflow, built live: A decision tree, expected-value calculation and a sensitivity check in a spreadsheet.
- 6How to measure it: Decision turnaround, Action-item completion, Stakeholder satisfaction, Goal achievement
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Managers at every level
- • Professionals preparing for leadership roles
- • Founders juggling several functions
You'd leave with
- A decision tree, expected-value calculation and a sensitivity check in a spreadsheet.
- A working understanding of Eisenhower Matrix and Decision Trees
- A short list of measures to track: Decision turnaround, Action-item completion, Stakeholder satisfaction
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