PD006
Pull a representative transaction data sample before each discovery workshop so participants validate observed patterns rather than rely solely on recall.
CyberTRIZ analysis · Process contradiction PD006 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Faster Discovery Workshops vs. More Representative Data
Business Context. Time-boxed discovery workshops rely on a small group of participants describing how a process works, but that group's experience may not represent the full range of cases the process actually handles.
Process TRIZ Resolution. Rather than relying solely on workshop testimony, organizations should pair short workshops with a quick pull of historical transaction data to validate that the described process matches observed volume and variation.
Applicable TRIZ Principles
Principle 10 (Prior Action) pulls historical data before the workshop so discussion can validate rather than guess.
Principle 23 (Feedback) feeds real transaction data back into the workshop discussion in real time.
Principle 26 (Copying) uses a representative data sample instead of requiring exhaustive analysis of every case.
Expected Outcome
Faster workshops
More representative process models
Reduced blind spots
Higher confidence in findings
Decision Indicators
Discovered processes do not match production data patterns.
Rare but important case types are omitted from the model.
Discovery relies entirely on a small group of veteran employees.
Process maps are contradicted by system logs after the fact.
Workshop participants disagree about actual process frequency.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.