Decision Management: Framing, Analysis, and Commitment
Decision Management: Framing, Analysis, and Commitment
Decision management is the disciplined process of choosing among alternatives under uncertainty. Candidates must know the six decision-quality elements: an appropriate frame, creative alternatives (including the status quo), reliable information, clear values and trade-offs, sound reasoning, and commitment to action. Related tools include the decision hierarchy and strategy table, objectives hierarchies with value measures, decision trees, expected monetary value (EMV), expected utility, sensitivity and tornado analysis, Monte Carlo simulation, and value of information (EVSI = expected value with information − expected value without − cost of information).
Traps: EMV is not automatically the decision criterion; risk-averse organizations may use expected utility. Sunk costs are irrelevant. Do not compare alternatives on single-point estimates or forget the “do nothing” alternative. A good decision can produce a bad outcome; judge the process, not only the result. Avoid double-counting correlated branches and confusing precision with accuracy.
Worked example: Alternative A returns a certain $2.0M. Alternative B returns $6M with 40% probability and −$1M with 60%, so EMV(B)=0.4($6M)+0.6(−$1M)=$1.8M. EMV favors A. The value of perfect information is the expected value with perfect information minus the best EMV without it: [0.4($6M)+0.6($2M)] − $2.0M = $1.6M, so paying up to $1.6M for a perfect test is justified before risk attitude and test cost are considered.