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This observes the original approach but is not an additional action: Memory and compressed column size decrease without breaking report requirements.

This remains unsuitable for the original situation: Duplicating unique text can increase model size without analytics value. It also does not meet the changed need.

This is the already implemented original solution: Evaluate removing the high-cardinality unused ProductCode column. High-cardinality columns can materially increase VertiPaq storage cost. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: The slow visual is traced to a complex DAX measure. It is not the best initial response to the stated case.

Guesswork can remove useful visuals without locating the bottleneck. The proposed shortcut 'Delete a random chart before collecting any measurements' fails the documented need.

This addresses a separate source situation: A model imports 200 unused high-cardinality transaction columns that are never placed in visuals or measures. It does not directly satisfy this case's priority.

This is reasoning supporting the preferred solution 'Use Performance Analyzer to capture and compare visual query durations', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A model imports 200 unused high-cardinality transaction columns that are never placed in visuals or measures. It is not the specific defect in 'Delete a random chart before collecting any measurements'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Guesswork can remove useful visuals without locating the bottleneck.

This belongs to a different case: A model imports 200 unused high-cardinality transaction columns that are never placed in visuals or measures. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: Captured timings identify the costly visual and a targeted change reduces duration.

Approval of a proposed design is not evidence of working behavior. The required observation is: Captured timings identify the costly visual and a targeted change reduces duration.

This remains unsuitable for the original situation: Guesswork can remove useful visuals without locating the bottleneck. It also does not meet the changed need.

This observes the original approach but is not an additional action: Captured timings identify the costly visual and a targeted change reduces duration.

This is the already implemented original solution: Use Performance Analyzer to capture and compare visual query durations. Performance Analyzer exposes timing information for report visual operations. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: The issue is traced to an unintended cross-filtering relationship. It is not the best initial response to the stated case.

Visual themes do not profile or rewrite complex calculations. The proposed shortcut 'Use chart theme settings as the primary debugging method for DAX semantics' fails the documented need.

This addresses a separate source situation: A report includes a many-to-many relationship that doubles totals when a category filter is selected. It does not directly satisfy this case's priority.

This addresses a different case: A report includes a many-to-many relationship that doubles totals when a category filter is selected. It is not the specific defect in 'Use chart theme settings as the primary debugging method for DAX semantics'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Visual themes do not profile or rewrite complex calculations.

This is reasoning supporting the preferred solution 'Use DAX query view to inspect and test alternative calculations', but it does not directly name the defect in the proposed shortcut.

A future test is not yet observed operational evidence. The verification must establish: A revised DAX query returns equivalent audited results with improved behavior.

This belongs to a different case: A report includes a many-to-many relationship that doubles totals when a category filter is selected. It does not validate the current change.

Approval of a proposed design is not evidence of working behavior. The required observation is: A revised DAX query returns equivalent audited results with improved behavior.

This is the already implemented original solution: Use DAX query view to inspect and test alternative calculations. DAX query view supports authoring and evaluating DAX queries against the model. It does not itself solve the new requirement.

This remains unsuitable for the original situation: Visual themes do not profile or rewrite complex calculations. It also does not meet the changed need.

This observes the original approach but is not an additional action: A revised DAX query returns equivalent audited results with improved behavior.

Early nonfoldable steps can force unnecessary local processing. The proposed shortcut 'Add nonfoldable custom operations before a selective SQL filter without checking impact' fails the documented need.

This might be appropriate after a different requirement arises: A custom transformation cannot be expressed in native SQL. It is not the best initial response to the stated case.

This addresses a separate source situation: A large DirectQuery model needs monthly sales totals much more frequently than individual line-level detail. It does not directly satisfy this case's priority.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Early nonfoldable steps can force unnecessary local processing.

This addresses a different case: A large DirectQuery model needs monthly sales totals much more frequently than individual line-level detail. It is not the specific defect in 'Add nonfoldable custom operations before a selective SQL filter without checking impact'.

This is reasoning supporting the preferred solution 'Check query folding and move compatible filters earlier in the query', but it does not directly name the defect in the proposed shortcut.