You should perform sensitivity analysis when:You want to reach more accurate forecast resultsYou want to demonstrate several business casesYou need to change multiple inputs at onceYou need to determine which assumptions matter the most

You should perform sensitivity analysis when:

1. You want to reach more accurate forecast results: Sensitivity analysis allows you to understand how different values of an independent variable impact a particular dependent variable under a given set of assumptions. This process can help to validate the accuracy of your forecasts by showing how changes in assumptions can impact your results.

2. You want to demonstrate several business cases: Sensitivity analysis can be used to show a range of possible outcomes for a business case, which can be particularly useful when presenting to stakeholders. By showing a range of scenarios, you can demonstrate the potential impact of different decisions or events.

3. You need to change multiple inputs at once: Sensitivity analysis allows you to change multiple inputs at once and see the impact on your result. This can be useful when you are dealing with complex models with many variables.

4. You need to determine which assumptions matter the most: Sensitivity analysis can help you to identify which assumptions have the biggest impact on your results. This can be useful for focusing your attention on the areas that matter most, and for understanding the risks associated with particular assumptions.