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Product familiarity is not evidence of suitability. The actual defect in this proposal is: Removing all filters eliminates the chosen date context too.

This addresses a different case: A revenue KPI should use an inactive PromotionDate relationship only for promoted-sales analysis. It is not the specific defect in 'Use REMOVEFILTERS on every table and expect date filters to remain'.

This is reasoning supporting the preferred solution 'Use CALCULATE([Revenue], REMOVEFILTERS(Product))', but it does not directly name the defect in the proposed shortcut.

This belongs to a different case: A revenue KPI should use an inactive PromotionDate relationship only for promoted-sales analysis. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: The denominator changes with date but not product-category slicers.

Approval of a proposed design is not evidence of working behavior. The required observation is: The denominator changes with date but not product-category slicers.

This remains unsuitable for the original situation: Removing all filters eliminates the chosen date context too. It also does not meet the changed need.

This observes the original approach but is not an additional action: The denominator changes with date but not product-category slicers.

This is the already implemented original solution: Use CALCULATE([Revenue], REMOVEFILTERS(Product)). REMOVEFILTERS on Product removes its filters without automatically removing Date filters. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: The design team wants a comma-delimited list of several selected regions. It is not the best initial response to the stated case.

This addresses a separate source situation: An executive report needs percent of all products while retaining date and region slicers. It does not directly satisfy this case's priority.

MAX can hide multiple selected values behind a single lexicographic result. The proposed shortcut 'Use MAX(Region[RegionName]) and assume it always signals multiple choices correctly' fails the documented need.

This addresses a different case: An executive report needs percent of all products while retaining date and region slicers. It is not the specific defect in 'Use MAX(Region[RegionName]) and assume it always signals multiple choices correctly'.

This is reasoning supporting the preferred solution 'Use SELECTEDVALUE(Region[RegionName], "All regions")', but it does not directly name the defect in the proposed shortcut.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: MAX can hide multiple selected values behind a single lexicographic result.

This belongs to a different case: An executive report needs percent of all products while retaining date and region slicers. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: The title shows one region or All regions with multiple selections.

Approval of a proposed design is not evidence of working behavior. The required observation is: The title shows one region or All regions with multiple selections.

This remains unsuitable for the original situation: MAX can hide multiple selected values behind a single lexicographic result. It also does not meet the changed need.

This observes the original approach but is not an additional action: The title shows one region or All regions with multiple selections.

This is the already implemented original solution: Use SELECTEDVALUE(Region[RegionName], "All regions"). SELECTEDVALUE returns a scalar on single selection with a configurable alternate. It does not itself solve the new requirement.

This addresses a separate source situation: A finance report needs previous-month sales for each month on an axis. It does not directly satisfy this case's priority. In the current question, this comparison is made against: A business user wants a report measure that adapts to slicers, not a refresh-time snapshot stored on rows. Which approach BEST meets the stated Microsoft Power BI requirement?

This might be appropriate after a different requirement arises: A separate attribute must be used as a relationship or slicer column. It is not the best initial response to the stated case.

Calculated columns do not dynamically recalculate for every report selection. The proposed shortcut 'Create a calculated column that tries to capture the viewer's current slicer value at refresh' fails the documented need.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Calculated columns do not dynamically recalculate for every report selection.

This is reasoning supporting the preferred solution 'Create a DAX measure rather than a calculated column', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A finance report needs previous-month sales for each month on an axis. It is not the specific defect in 'Create a calculated column that tries to capture the viewer's current slicer value at refresh'.

Approval of a proposed design is not evidence of working behavior. The required observation is: The metric changes correctly when slicers change without a model refresh.

This belongs to a different case: A finance report needs previous-month sales for each month on an axis. It does not validate the current change. In the current question, this comparison is made against: A business user wants a report measure that adapts to slicers, not a refresh-time snapshot stored on rows. After implementing Create a DAX measure rather than a calculated column, which observation BEST demonstrates that the intended result is actually working?

A future test is not yet observed operational evidence. The verification must establish: The metric changes correctly when slicers change without a model refresh.

This observes the original approach but is not an additional action: The metric changes correctly when slicers change without a model refresh.

This remains unsuitable for the original situation: Calculated columns do not dynamically recalculate for every report selection. It also does not meet the changed need.

This is the already implemented original solution: Create a DAX measure rather than a calculated column. Measures recompute in filter context at query time. It does not itself solve the new requirement.