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This is the already implemented original solution: Use a semi-additive closing balance measure based on the last relevant date. Balance snapshots are additive across accounts but not across time. It does not itself solve the new requirement.

This observes the original approach but is not an additional action: The year result equals the final available closing balance, not all daily balances.

This remains unsuitable for the original situation: Adding snapshots over time overstates closing financial balances. It also does not meet the changed need.

This addresses a separate source situation: A bar chart must show each product's rank by Sales Amount within selected business scope. It does not directly satisfy this case's priority.

Unweighted mean prices misrepresent per-unit pricing. The proposed shortcut 'Use AVERAGE(Sales[Price]) even though quantities vary drastically' fails the documented need.

This might be appropriate after a different requirement arises: Management changes the question to average displayed line price. It is not the best initial response to the stated case.

This is reasoning supporting the preferred solution 'Use DIVIDE(SUMX(Sales, Qty * Price), SUM(Sales[Qty]))', 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: Unweighted mean prices misrepresent per-unit pricing.

This addresses a different case: A bar chart must show each product's rank by Sales Amount within selected business scope. It is not the specific defect in 'Use AVERAGE(Sales[Price]) even though quantities vary drastically'.

A future test is not yet observed operational evidence. The verification must establish: A two-item test yields the mathematically weighted price.

Approval of a proposed design is not evidence of working behavior. The required observation is: A two-item test yields the mathematically weighted price.

This belongs to a different case: A bar chart must show each product's rank by Sales Amount within selected business scope. It does not validate the current change.

This remains unsuitable for the original situation: Unweighted mean prices misrepresent per-unit pricing. It also does not meet the changed need.

This is the already implemented original solution: Use DIVIDE(SUMX(Sales, Qty * Price), SUM(Sales[Qty])). A weighted average accounts for quantity rather than treating line prices equally. It does not itself solve the new requirement.

This observes the original approach but is not an additional action: A two-item test yields the mathematically weighted price.

This addresses a separate source situation: A report needs total revenue across all product categories while keeping the selected dates. It does not directly satisfy this case's priority.

An unfiltered row count includes successful orders. The proposed shortcut 'Use COUNTROWS(Orders) without a status condition for failed orders' fails the documented need.

This might be appropriate after a different requirement arises: Managers also want the failure rate. It is not the best initial response to the stated case.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: An unfiltered row count includes successful orders.

This is reasoning supporting the preferred solution 'Use CALCULATE(COUNTROWS(Orders), Orders[Status] = "Failed")', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A report needs total revenue across all product categories while keeping the selected dates. It is not the specific defect in 'Use COUNTROWS(Orders) without a status condition for failed orders'.

Approval of a proposed design is not evidence of working behavior. The required observation is: A status-filtered row tally matches the source exception list.

This belongs to a different case: A report needs total revenue across all product categories while keeping the selected dates. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: A status-filtered row tally matches the source exception list.

This observes the original approach but is not an additional action: A status-filtered row tally matches the source exception list.

This is the already implemented original solution: Use CALCULATE(COUNTROWS(Orders), Orders[Status] = "Failed"). CALCULATE can count filtered rows under report context. It does not itself solve the new requirement.

This remains unsuitable for the original situation: An unfiltered row count includes successful orders. It also does not meet the changed need.

Removing all filters eliminates the chosen date context too. The proposed shortcut 'Use REMOVEFILTERS on every table and expect date filters to remain' fails the documented need.

This might be appropriate after a different requirement arises: The business wants only currently visible products in the denominator. It is not the best initial response to the stated case.

This addresses a separate source situation: A revenue KPI should use an inactive PromotionDate relationship only for promoted-sales analysis. It does not directly satisfy this case's priority.

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.