Data Infrastructure for Learning

Practical guidance on pipelines, event taxonomies, instrumentation, and making trustworthy data products for experiments and team learning.

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Data Product & Infrastructure Spec Template — Learning-Focused

A practical, fillable spec template to define data product purpose, consumers, metric and event definitions, data quality checks, SLAs, ownership, privacy and retention rules, instrumentation verification steps, test dataset guidance, and rollout & monitoring requirements for learning-oriented measurement and experimentation.

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Data Product Lifecycle Template for Learning Indicators

An interactive, savable template to plan, build, document, monitor, and retire data products used for measurement-driven learning (dashboards, cohorts, metrics). Includes guided fields, a quick governance checklist, and a copy-ready sample entry for a common learning metric.

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