KCAE.MEMORY:4.4 - Improve recognition questions from consequential misses

Take actual misses and false matches whose remedy can change use. Compare them with matched cases and nearby non-fits. Ask what observable question would have distinguished them before the result was known. “Does success require repeated manual compensation?” may expose a broader family than “Did the export fail?” The wording and its observable inputs matter more than a new tag name.

Derive candidate questions from the episodes and subject knowledge, then test them on withheld or independently constructed cases, including negatives and unknowns. A generated question tested only on the examples that generated it supplies no independent recognition evidence. Reject a question that cannot be answered from the authorized event projection, or obtain the needed observation through an approved route.

Keep the question as a useful aid, not an exclusive admission gate for every future concern. Provide an open route for an unrecognized cue. If features become a learned classifier, preserve the training basis, model version, evaluation population and refresh conditions. KCAE.EVAL compares its gain with direct source-based inquiry and the prior recognition aid.