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@pstrauss If you're using MagicETL, I'd recommend a combination of the Group by tile and a Filter Rows tile. In the Group by tile, group by user_id and create the below formula to check whether all of the rows for each user_id have a value of "false_inquiry":

case when count(case when inquiry_type = 'false_inquiry' then user_id end) = count(user_id) then 'Exclude' else 'Include' end

Then join your grouped data back to the original by user_id and use the Filter Rows tile to remove any rows marked with "Exclude"

You'll need to prep your data via an ETL to do this. You can pull in the calendar dimension dataset from the Domo Dimensions connector.

In the etl filter your calendar dataset to be after your first date in your dataset and exclude any dates in the future with a filter tile formula

`dt` >= DATE('2020-01-01') AND `dt` < CURRENT_DATE()

This will reduce the amount of records your ETL will need to process and make it run faster.

Then add a constant to your dataset and the filtered calender dataset with the value of 1.

Join these two datasets together on this new join column constant.

Feed the result into a filter and filter where the dt field from the calendar dataset is between your start and end date.

Then use a formula tile to calculate the work hours per day.

`work` / DATEDIFF(`plannedEndDate`, `plannedStart`)