Indies Education · Business Curriculum
Decision Making
Use evidence, explicit trade-offs, and review loops to make better calls under uncertainty.
The Stepladder Technique for Better Group Decisions
The Stepladder Technique structures how members enter a decision discussion so each person contributes before being influenced by the existing group. This chapter explains independent preparation, core-pair formation, sequential entry, evidence capture, order effects, hierarchy, remote adaptation, decision rules, validation, and limits.
Avoiding Groupthink: Build Decisions That Invite Dissent
Groupthink describes a pattern in which pressure for agreement undermines realistic appraisal. This chapter examines the theory and its criticisms, conformity, shared-information bias, authority, escalation, authentic versus assigned dissent, red teams, premortems, independent estimates, decision records, and safeguards for high-quality group choice.
Hartnett’s Consensus-Oriented Decision-Making Model
Hartnett’s Consensus-Oriented Decision-Making model guides groups from framing and open discussion through proposal development, concern testing, modification, decision, and implementation. This chapter explains its seven steps, consensus meaning, facilitation, stand-asides and objections, authority, evidence, accessibility, power, failure modes, and responsible use.
Cautious or Courageous? Calibrate Business Risk
A rigorous, practical guide to calibrate boldness to stakes, reversibility, downside, evidence, option value, and organizational resilience rather than rewarding fear or bravado. 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.
Cost-Benefit Analysis: A Practical Business Guide
A rigorous, practical guide to compare incremental benefits and costs against a credible counterfactual while making timing, risk, externalities, distribution, and non-monetized effects visible. 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.
Break-Even Analysis: Formula, Limits and Scenarios
A rigorous, practical guide to calculate and stress-test the volume, revenue, utilization, or time required for incremental contribution to cover relevant fixed commitments. 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.