Indies Education · Business Curriculum
Decision Making
Use evidence, explicit trade-offs, and review loops to make better calls under uncertainty.
Decision Making Under Uncertainty: A Practical Guide
A rigorous, practical guide to choose robust, staged, and learnable actions when probabilities, mechanisms, outcomes, or future conditions are only partly known. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Risk Impact/Probability Charts Done Right
Impact/probability charts can organize risk conversations but often create false precision and rank reversals. This chapter explains scale design, scenario wording, matrix mapping, confidence, velocity, controls, escalation, a worked portfolio case, and when deeper analysis is mandatory.
Risk Prioritization: From Scores to Action
Risk prioritization allocates scarce attention, capital, and response capacity across uncertain scenarios. This chapter offers a rigorous portfolio method covering mandatory gates, exposure, tail harm, velocity, controls, dependencies, tractability, information value, sequencing, and review.
Quantitative Pros and Cons: A Decision Guide
Quantitative pros and cons extends a simple list into a transparent multi-criteria decision model. This chapter explains objectives, alternatives, measurement scales, swing weighting, scoring, uncertainty, sensitivity, stakeholder distribution, validation, and the false precision that can turn arithmetic into camouflage.
What-If Analysis: Scenarios, Sensitivity, and Action
What-if analysis asks how outcomes change when assumptions or events differ. This chapter distinguishes sensitivity, scenario, stress, break-even, and simulation methods; explains model validation, correlated inputs, thresholds, decision rules, communication, and the dangers of treating a spreadsheet as reality.
Impact Analysis: Map Consequences Before You Act
Impact analysis examines what a change will affect before commitment and what it did affect afterward. This chapter integrates stakeholder, process, technical, financial, risk, behavioral, and temporal consequences; explains dependency tracing, uncertainty, change propagation, safeguards, validation, and post-implementation learning.
Business Experiments: Design Evidence That Decides
Business experiments turn uncertain strategic and operating assumptions into causal evidence. This chapter covers estimands, randomization, controls, power, interference, instrumentation, guardrails, sequential decisions, heterogeneity, external validity, ethics, implementation, and how to distinguish experimentation from shipping and watching a dashboard.
Recognition-Primed Decisions: How Experts Decide
A rigorous, practical guide to understand how experienced practitioners recognize situations, mentally simulate one workable action, and act under time pressure while managing expertise limits. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated.
Prospect Theory: A Practical Business Guide
A rigorous, practical guide to understand reference dependence, loss aversion, diminishing sensitivity, and probability weighting so choices can be designed and audited more responsibly. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Decision Matrix Analysis: A Rigorous Guide
A rigorous, practical guide to compare alternatives across explicit criteria and weights while exposing scale design, trade-offs, uncertainty, thresholds, and sensitivity. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Paired Comparison Analysis: A Practical Guide
A rigorous, practical guide to prioritize options through structured pairwise judgments while managing inconsistency, scale limits, context effects, and the difference between preference and value. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated.
Analytic Hierarchy Process: A Complete Guide
A rigorous, practical guide to structure complex multi-criteria decisions into hierarchies, elicit pairwise judgments, calculate priorities, test consistency, and examine sensitivity. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.