Measure Impact with a Sensitivity Analysis

 Sensitivity Analysis is the process of determining the impact a  fixed percentage change in the thing being measured has on the overall performance of something.  For example, a 1% change in product price had an 11% change in profit on average in 1000 European businesses.  For real life tests on your own data, search for our free ChangeBoard products.  Blue Belt

 

Sorry to disappoint!

This is a placeholder for content yet to come.

If you would especially like to see content here, email us to tell us what you would like to see more of and requesting we speed up providing content here.

 

Sensitivity Analysis is the process of determining the impact a particular variable has on the overall performance of something.

It is usually discovered by building a spreadsheet model of whatever the business or project is.

By way of example, the variables in the spreadsheet might be:

  • cost per unit of part 1
  • cost per unit of part 2 and
  • cost per unit of part 3
  • and their respective impact on gross profit

To work out the part whose change in price will have the greatest impact on gross profit, change each of them by (say) 10% while holding the others at the same value.

The impact of each on the gross profit will be different.

The business model you have constructed is most "sensitive" to the variable that changed the gross profit the most when you did the experiment.

That then is likely the one to focus on first because it has the greatest impact.

Indirectly, the 80/20 Rule (see the Amazing 80/20 Rule article) arrives at much the the same conclusion that most impact is done by just a few variables.

Starting with the most sensitive input variable means you move as quickly as possible to growth in output. 

Alternatively, if you don't want to upset things too much, you might work with the least sensitive variable.

 

 

 

 

 

 

 

 

 

 

Pin It