Add Standard Error of the Mean into Quick Calculations or even better control limits to identify normal and non normal variation.
Currently Power BI just presents data. It is data rich. We are all drowning in a sea of data. It should be highlighting where data needs flagging up for investigation. Data outside the normal variation. It needs to identify normal variation. Using the SE of mean it is possible to apply control limits (like funnel plots (based on sample size)) to target only performance outside the normal range. However this is still complex. it would be even better if you could just apply control limits and select the type A: as above based on sample size, B: based on mean range * 2.66, C: based on median range, D: IQR *1.5. Using these control limits to filter the data it would transform Power BI reporting into a realm beyond all your competitors. And provide managers with the information they really need to manage performance.
If we can produce measures containing control limits these can be applied to conditional formatting and filters. Currently very complicated DAX measures need to be developed to do this. This should be simple so that it can be applied to all performance reporting and attainable by everyone rather than just a few specialists.