CONTEXTUAL DISCOVERY AND OUTCOME ANALYSIS — CONVERSATION BRIEF
Version 1.0 — 1 November 2026
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1. Outcome: What needs to improve, for whom, and why now?
2. Sponsor and owner: Who can agree scope and accept the result?
3. Current work: Steps, people, exceptions, approvals and hand-offs.
4. Baseline: Measure, definition, source, date; measured / estimated / unknown.
5. Context: Systems of record, terminology, data owners and policy versions.
6. Constraints: Privacy, access, budget, skills, availability and recovery.
7. Options: No change, process improvement, automation, analytics, AI or agent.
8. Decision: What does discovery need to help you decide?
9. Evidence gaps: What must be checked and by whom?
10. Next increment: Owner, prerequisite, approval, acceptance test and rollback.
11. Measurement: Outcome, quality, risk, cost and operating measures; review date.

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Scope, deliverables, availability, duration and pricing are to be agreed.
CAE is a proposed architectural framework, not an industry standard.