Think Better · 55 sec
Test Whether a Decision Survives Assumption Changes
A recommendation is fragile when one reasonable input change reverses the winner.
The useful idea
- Expose assumptions
Every comparison depends on estimates such as cost, probability, timing, demand, benefit, and the weight given to each outcome.
- Vary plausible inputs
Sensitivity analysis changes important assumptions across reasonable ranges and recalculates the result instead of defending one forecast.
- Find the switching point
The most useful output is often the threshold where the preferred option changes, because that reveals what evidence matters next.
Why this matters
A robust decision stays attractive across plausible futures; a fragile one deserves more evidence or a reversible first step.
Try this
Change the two most uncertain assumptions across plausible ranges and note where your preferred option switches.
Test your recall
Which action best applies “Test Whether a Decision Survives Assumption Changes”?
- Change the two most uncertain assumptions across plausible ranges and note where your preferred option switches. — correct
- Add more decimal places and leave every assumption fixed.
- Use only the most optimistic case because it shows the largest potential benefit.
A robust decision stays attractive across plausible futures; a fragile one deserves more evidence or a reversible first step.