Episode 46 — Sensitivity and Drivers: Tornado Explained
Sensitivity analysis helps you discover which uncertain inputs actually move outcomes, and the tornado diagram is the clearest way to show that hierarchy. This episode defines sensitivity as the change in a result—such as cost, finish date, or probability of meeting a target—when one input varies across a plausible range while holding others constant. We explain why tornado charts sort inputs from the largest impact band to the smallest, creating a visual “tornado” that spotlights true drivers. You will learn how exam scenarios use this logic to test whether you can recommend where to focus mitigation, data collection, or management attention, rather than spreading effort evenly. We also clarify common misreads: sensitivity is not correlation, ranges must be realistic and documented, and the purpose is decision guidance, not decoration.
We extend the concept with practical patterns across delivery approaches. In predictive schedules, uncertain vendor lead times or permitting durations often sit at the top of the tornado; in Agile programs, throughput variability, defect arrival rates, or dependency readiness can dominate. Best practices include anchoring ranges to evidence, showing both positive and negative swings, and pairing top drivers with response hypotheses and owners. Troubleshooting guidance covers tornadoes that contradict intuition (usually due to skewed ranges), diagrams that bury units or scale, and stakeholder fixation on low-impact inputs because they are easy to change. A disciplined sensitivity review converts analysis into a short list of levers with the most option value—precisely the prioritization the PMI-RMP exam rewards. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
