ETQ002
Define each item's evidentiary purpose before collection and discard information that does not directly support a specific audit assertion.
CyberTRIZ analysis · Audit contradiction ETQ002 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Evidence Quantity vs Evidence Relevance
Business ContextLarge evidence populations can create an appearance of thoroughness, but additional documents, records, and datasets do not necessarily strengthen an audit conclusion. Excessive collection can obscure the information that actually addresses the audit objective.
Audit TRIZ ResolutionDefine the evidentiary function before collecting information. Evidence should be selected according to the assertion, risk, or control condition it must support. Redundant information is removed unless it provides meaningful corroboration or addresses a specific uncertainty.
Applicable TRIZ Principles
Principle 2 – Taking Out removes evidence that does not materially contribute to the audit conclusion.
Principle 3 – Local Quality selects evidence according to the specific assurance question being tested.
Principle 25 – Self-Service uses structured system-generated evidence where reliable information already exists.
Expected Outcome
More relevant evidence
Reduced evidence volume
Faster analysis
Clearer audit conclusions
Decision Indicators
Workpapers contain large evidence repositories with limited documented purpose.
Auditors request information because it was requested in previous audits.
Reviewers struggle to identify which evidence supports specific conclusions.
Evidence volume grows faster than assurance quality.
Similar documents are retained repeatedly without additional corroborative value.