Measurement Coverage vs Measurement Cost
Embed data capture into operational systems and use sampling or automation to expand coverage without proportional governance cost.
CyberTRIZ analysis · Benchmarking contradiction BSC017 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Broader measurement coverage can improve understanding by capturing more processes, dimensions, units, and contextual variables. However, collecting, validating, storing, governing, and analyzing additional data consumes resources. Manual measurement can create substantial administrative burden, while extensive automated measurement increases technology and governance requirements. Reducing measurement cost can leave important areas unobserved.
Benchmarking TRIZ Resolution
Measurement should be designed according to informational value rather than maximum coverage. Existing system-generated data should be used wherever it can provide reliable evidence, while manual collection is reserved for measures that materially affect decisions and cannot be obtained otherwise. Sampling, rotating measurement, event-triggered analysis, and automated extraction can expand coverage without requiring every variable to be measured continuously.
Applicable TRIZ Principles
Principle 10 – Prior Action designs data capture into operational systems before benchmarking analysis is required.
Principle 25 – Self-Service uses information already generated by processes and technologies.
Principle 19 – Periodic Action measures selected variables periodically rather than continuously when constant observation adds little value.
Expected Outcome
Broader useful measurement coverage
Lower data-collection burden
Better use of existing information
Improved measurement economics
Decision Indicators
Early indicators include:
Employees spend substantial time preparing benchmark data manually.
Large volumes of collected data are rarely used in decisions.
Important processes remain unmeasured because collection is considered too expensive.
Similar information is collected repeatedly by different functions.
Benchmarking expansion requires proportional increases in analytical staff.
These conditions indicate that measurement architecture is scaling through additional effort rather than smarter information capture.