Use this when
decisions stall, disappear after meetings, or fail to produce traceable execution and feedback.
Advanced practitioner depth
Layer 02 · Decisions · Decision Architecture
Executive summary
Move decisions through eight stages: frame, gather, analyze, pre-commit, decide, communicate, execute, and review. This advanced practitioner guide places that work inside Decision Architecture. It helps leaders turn a broad concern into a specific operating decision without treating the topic as a stand-alone transformation. Use the detailed model below to clarify the current state, make trade-offs visible, and assign ownership for the next move. Apply it when decisions stall, disappear after meetings, or fail to produce traceable execution and feedback. The practical result is a documented decision path from framing through commitment, execution, and review. Keep that output connected to adjacent layers so upstream constraints remain visible and downstream execution can show whether the design is working.
Use this when
decisions stall, disappear after meetings, or fail to produce traceable execution and feedback.
Practical output
Leave with a documented decision path from framing through commitment, execution, and review.
Detailed model
Use the practitioner material below after the executive orientation establishes the job, trigger, and expected output.
Eight Stages
The decision lifecycle preserves context from framing through learning so decisions can be executed, communicated, monitored, and improved.
01
Define scope, stakes, reversibility, owner, and decision tier.
02
Collect data, signals, constraints, perspectives, and known uncertainties.
03
Test assumptions, compare options, surface trade-offs, and identify risk.
04
Run the critical gate: tier fit, owner clarity, evidence quality, and rollback logic.
05
One human commits. AI may inform, but accountability attaches to the Decider.
06
Broadcast the decision with context, rationale, implications, and next actions.
07
Assign work, monitor execution, track signals, and manage exceptions.
08
Retrospective the decision, learn from outcomes, and update the decision architecture.
Critical Gate
The pre-commit gate checks tier fit, owner clarity, evidence quality, AI role, rollback logic, and communication requirements before the organization commits.
Is this decision reversible or irreversible?
Which tier does this decision belong in?
Who is the one Decider?
What evidence is required before commitment?
What can AI do: act, draft, inform, or nothing?
What is the rollback or escalation path?
How will the decision be communicated with context?
When will the decision be reviewed for learning?
Choose the next path
The layer overview restores context. The recommended action turns this practitioner model into the next piece of work.