Open table of contents
Conclusion
Identify workload and observable improvement conditions before selecting technology.
Context
AI suitability depends on judgment and error detectability as well as volume. Use common observation criteria to compare workflows.
Design and verification scope
Assess the following responsibilities and boundaries when designing and verifying a configuration.
- High frequency
- Cognitive load
- Information intensity
- Rules and judgment
- Feedback
- Cost of error
Decision rationale
Use the relationship between High frequency and Cost of error to compare the responsibilities of the selected approach and alternatives. Separate retained constraints from what the new boundary can change.
Trade-offs
Compare the implementation, maintenance and review work introduced by Cognitive load with the control it provides. Include failure paths, operator effort and conditions in which the approach should not be adopted.
Limitations
Review workflow observations, volumes, review time, error impact and evaluability. Savings remain hypotheses until measured.
Related case context
These cases provide attributed design context. They do not establish that the proposed experiments or configurations were delivered in those engagements.