PD011
Apply fine-grained process modeling selectively only to steps requiring automation or audit, keeping all others at maintainable coarser granularity.
CyberTRIZ analysis · Process contradiction PD011 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Higher Process Granularity vs. Easier Maintenance
Business Context. Fine-grained process models that capture every micro-decision provide precision for automation, but the sheer number of elements makes the model difficult and costly to maintain as the process evolves.
Process TRIZ Resolution. Instead of maximizing granularity everywhere, organizations should apply fine-grained modeling only to the steps that will actually be automated or audited, keeping the rest of the model at a coarser, easier-to-maintain level.
Applicable TRIZ Principles
Principle 3 (Local Quality) applies fine granularity selectively to steps that require it.
Principle 2 (Taking Out) removes unnecessary granularity from steps that do not require it.
Principle 35 (Parameter Changes) adjusts the level of modeling detail based on the step's automation or audit relevance.
Expected Outcome
Precision where needed
Lower ongoing maintenance cost
Faster model updates
Sustainable documentation practice
Decision Indicators
Process models require constant updates to stay accurate.
Model maintenance consumes more effort than the improvement itself.
Analysts avoid updating overly detailed models after changes.
Automation teams request more detail than the model provides.
Business users find the model too granular to review.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.