Data collection refers to performance, use, and user data collection that is used to establish performance baselines and standards that build a predictable track record and trust. This is essential for benchmarking, creating revenue models, producing production engineering documents, creating specific value propositions, developing marketing based on specific economic benefits, and other purposes. Performance transparency is required for any product to previde regenerative solutions at scale.
Defining Data Collection protocols is part of Test Driven Design. In pertinent part:
Test driven design refers to a design process that performs tests, validation so, proofs, verifications, assessments and rapid prototypes on an early and ongoing basis - prior to an actual build. The purpose is to speed up development by avoiding unworkable paths that have already been demonstrated by others; to discover various insights that inform further design; and to reduce costs by doing as much analysis and calculation as possible to find out those things that a physical prototype would show -prior to using more expensive materials and build processes to build an actual prototype.