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A question I have is how can I focus my effort in a process mining project on the right things.

Via the root-cause-miner we can show dependencies/relations with certain dimensional values and hopefully at some point also measures (see ARISPMIYU-I-47).

I would like to take it one step further. Say we determined that a relation exist between 2 measures. Before i actually start improving something i want to make sure that (1) there is no adverse effect on other measures in the process, (2) how much should i actually improve

An impact analysis might help to answer these questions.

The idea is as follows:

• User selects the Measure to be analysed

• Measure is shown as a slide-bar where a user can increase or decrease the value of the measure.

• Below that a list of other selected that where we want to determine impact.

• Initially both the selected measure as the measures we want to determine the impact on all show the average value.

• However the moment the user starts playing with the slide bar (increase/decrease) we see also the results of the measures in the list change based on the impact we determined.

This should give users a very clear picture on the potential impact of their improvements. For example; If i focus my effort on decreasing this particular cycle time i will see an improvement in measures x,y,z however it might lead into problems with measures a,b,c where the results actually get worse...

In a sense this is similar to simulation however this is purely measure focused and does not go into any actual simulation of process structural changes