
TECHNOLOGY
Experiments
For Experiments, we define applicability from the purpose and constraints, including conditions where it should not be used. Avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Item 1 of 1: Experiments
Research & Validation
Experiments
For Experiments, we define applicability from the purpose and constraints, including conditions where it should not be used. Avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Scope
For Experiments, we define applicability from the purpose and constraints, including conditions where it should not be used.
Design decisions
For Experiments, we avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Validation
For Experiments, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior.
Operational review
For Experiments, we track changes, quality shifts, and use patterns while keeping a path for rollback.
Human governance
For Experiments, we do not leave consequential decisions to automation alone and define accountable review points.