Time in Product

Time in Product: Total time spent in product per user per period.

Formula

Time in Product = Sum of session duration per user

Computable definition

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

sum(field.session_duration) / count_distinct(field.user_id)

Unit: minutes

Notes: Total session time per user per period.

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
`session_duration`	product_event	integer
`snapshot_date`	user	date
`user_id`	user	string

Example SQL (Postgres)

SELECT (CAST((SELECT COALESCE(SUM(session_duration), 0) FROM product_event WHERE event_date >= :period_start AND event_date <= :period_end) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT user_id) FROM user WHERE snapshot_date = :period_end), 0)) AS time_in_product

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Time in Product" }) or generate_query({ "metric": "Time in Product", "adapter": "<your adapter JSON>" }).

What It Tells You

Overall engagement intensity.

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