Diagnose the operating truth
Map the customer, work, economics, data, constraints, exceptions, and decisions before prescribing a surface.
The method expands or contracts to fit the engagement, but it does not skip the operating truth, the system architecture, or the release evidence.
Map the customer, work, economics, data, constraints, exceptions, and decisions before prescribing a surface.
Define the position, desired behavior, system boundary, proof strategy, and measures of success.
Design information, roles, permissions, workflows, data, integrations, and failure states as one model.
Make the riskiest or most valuable interaction real early enough to learn from it.
Connect expression and implementation while testing states, access, performance, and operational behavior.
Separate “it renders” from “it is ready” using privacy, accuracy, security, accessibility, and rollback evidence.
Instrument the system, capture learning, refine the product, and turn good decisions into reusable infrastructure.
Every flagship release is reviewed from five materially different perspectives.
Can I understand the business value, risk, accountability, and path to scale?
Is the expression unmistakably authored, coherent, and relevant to the work?
Do the states, data, permissions, architecture, and failure behavior withstand scrutiny?
Does public proof protect identities, records, authority, and production boundaries?
Would this make me feel understood, informed, and confident in the quality of delivery?