6.1 — Structured Discovery and Requirement Gathering
CCAR-P Domain 6 · Task 6.1
What You Need to Know
The request is not the requirement. Discovery finds the problem behind the request.
Six Outputs Discovery Must Produce
- Business problem with measured baseline — hours, error rates, backlog, revenue at risk
- Real workflow (including workarounds)
- Output the system must produce (fixes task shape)
- Consequence when that output is wrong + thresholded, owned success criteria
- Data — what exists, quality, ownership, lawful basis
- Constraints and accountable decision-maker
Consequence of Error Sets the Bar
Wrong suggestion reviewed by a human vs wrong figure flowing into a payment sets different accuracy thresholds, human-checkpoint needs, and cost/latency envelopes.
Success Criteria
Specific, measurable, achievable, relevant. Targets from benchmarks/prior experiments/expert knowledge. Most use cases need several at once. Directional criteria (“improve the customer experience”) cannot end a project.
Feasibility Triage
- Decidable task with verifiable output?
- Data exists, good enough, lawfully usable?
- Cost of being wrong tolerable at achievable accuracy?
A “no” is a finding, not a failure. The honest no is a professional output.
Exam Traps (Four Failure Postures)
- Capitulation — agrees to the impossible (early price, demo before characterisation)
- Evasion — complies silently or builds it your own way without saying so
- Obstruction — escalates over the accountable owner
- Theatre — more meetings, more metrics, more documents
Check your understanding
Practice Scenario
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Sources
- Deploying Claude Enterprise with Confidence: The five decisions that shape your rollout, Anthropic Academy
- Define success criteria and build evaluations, Claude Platform Docs
- Building effective AI agents, Anthropic