How to show the percent of employees who had 2 or more evaluations on a rolling 4 week timeline?

[ninos-shiba]

I have a table that has data on evaluations performed on employees in this format:

EMPLOYEE	WEEK START	WEEK END
John	10/26/2020	11/1/2020
John	11/9/2020	11/15/2020
Sam	11/9/2020	11/15/2020
Beth	11/23/2020	11/29/2020

The team goal is that each employee receives a minimum of 2 evaluations on a rolling 4-week basis. I'm trying to create a measure that returns the % of employees that received 2 or more evaluations on a rolling 4-week basis. John would count as 100% because he received 2, but Sam and Beth would be 0% because they each only had 1 evaluation. How could I create a measure to show this rate?

[v-yuaj-msft]

Hi @ninos-shiba ,

It's still not very clear. Can you share some sample data and the expected result in a sample .pbix file to have a clear understanding of your question?

You can save your files in OneDrive, Google Drive, or any other cloud sharing platforms and share the link here.

Best Regards,

Yuna

[amitchandak]

@ninos-shiba , Have date table with following week columns

Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)

Join with week start and have measures like

This Week = CALCULATE(count('Table'[EMPLOYEE]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(count('Table'[EMPLOYEE]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
Last 4 weeks = CALCULATE(count('Table'[EMPLOYEE]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-4 && 'Date'[Week Rank]<=max('Date'[Week Rank])))

employees who had 2 or more evaluations = countx(filter(summarize('Table','Table'[EMPLOYEE], "_1", [Last 4 weeks]), [_1]>=2),[Employee])

Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...