Data Planner Canvas

This canvas ensures that teams don’t think of data needs as an afterthought. It provides a structure to identify the minimal amount of maximally valuable data required for the MVP.

Leading Practices:

Data is only useful in service of a decision: Define what is being tested and what you are trying to demonstrate before discussing metrics.

Differentiate between data you have and data you actually need: Inventory existing data honestly, then identify only the additional data required.

Surface data risks early and explicitly: Identify risks related to data quality, bias, sample size, access, privacy, or timing.

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