What makes an analytical workflow trustworthy after the design is fixed: data quality, reproducibility, lineage, and the engineering discipline that lets an independent reviewer arrive at the same result.
Reproducibility requires more than saved code. The exact data state, transformations, software environment, parameters, randomness, manual decisions, and expected outputs must be identifiable — and the workflow must be independently rerunnable within legitimate access constraints.
A single "run analysis" button that returns a chart hides more than it reveals. Lab keeps quality, computation, and review as distinct, inspectable stages instead.