Align data, instrumentation, and governance so teams can explore, experiment, and reuse trusted datasets for discovery.
A practical, fillable template that aligns events, metrics, ownership, acceptance criteria, and verification tests so experiments and prototypes are measurable and trustworthy from day one.
A practical, ready-to-use plan that defines what to measure, how to instrument events and properties, naming/tagging conventions, retention and privacy expectations, monitoring and alerting rules, dashboard ownership, and a pre-launch QA checklist. Includes concrete examples and a short glossary to help teams produce reliable, interpretable signals from experiments and prototypes.