Human37

AI context builder for analytics

Build your user story as a catalog record: use case, metric, owner, definition, and event lineage. Then export it as markdown and paste it straight into your AI context field.

Metrics captured: 0
0/6 steps complete
01

Define the use case

State the business decision this data will support, in a single sentence. If it cannot be written in one sentence, it is not yet defined.

02

Derive one metric

Identify a single metric that directly measures the use case above. One metric, not a dashboard of related figures.

03

Assign a metric owner

Assign one person accountable for this metric. This person also owns any action that results from the KPI shifting.

04

Write the definition

Document the formula, timeframe, filters, and exclusions. This is the same detail required for an AI context file or a rigorous analysis.

05

Trace to events

List every event this definition depends on. Use exact event names, as they appear in the product.

06

Assign technical owners

Assign one technical owner, name and role/team, to every event. This is who gets contacted when it stops firing correctly.

Add events in step 05 to assign owners here.

Repeat the story once per metric. Each saved metric appears below and in the export.

Metrics saved

Export as markdown, for your AI context field