Feature Adoption at Go-Live

Feature Adoption at Go-Live: Percentage of available features being used at go-live.

Formula

Feature Adoption = Features in use / Total features available × 100

Computable definition

The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.

count_distinct(field.feature_id where field.usage_count > 0) / count_distinct(field.feature_id)

Unit: percent (the formula yields an unscaled ratio)

Notes: Evaluated as a snapshot at the go-live milestone.

Data requirements

Grain: Per event, aggregate monthly · Frequency: Daily · Aggregation: aggregate (month) · Staged: no · Main source: Product Analytics.

Field	Dataset	Type
`event_date`	product_event	date
`feature_id`	feature	string
`feature_id`	product_event	string
`snapshot_date`	feature	date
`usage_count`	product_event	integer

Example SQL (Postgres)

SELECT (CAST((SELECT COUNT(DISTINCT feature_id) FROM product_event WHERE event_date >= :period_start AND event_date <= :period_end AND usage_count > 0) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT feature_id) FROM feature WHERE snapshot_date = :period_end), 0)) AS feature_adoption_at_go_live

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Feature Adoption at Go-Live" }) or generate_query({ "metric": "Feature Adoption at Go-Live", "adapter": "<your adapter JSON>" }).

What It Tells You

Whether customers are set up to use the whole product.

← Back to Onboarding metrics