Product Quality Metrics (Product) Operational

Error Rate (User-Facing)

Error Rate (User-Facing): Percentage of user actions that result in errors.

Formula

Error Rate = Error events / Total user actions × 100

Computable definition

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

count(field.event_id where field.product_event_type = 'error') / count(field.event_id where field.product_event_type in ('action', 'error'))

Unit: percent (the formula yields an unscaled ratio)

Notes: Error events divided by total user actions (errors included in the denominator).

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
`event_id`	product_event	string
`product_event_type`	product_event	string

Example SQL (Postgres)

SELECT (CAST((SELECT COUNT(event_id) FROM product_event WHERE event_date >= :period_start AND event_date <= :period_end AND product_event_type = 'error') AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(event_id) FROM product_event WHERE event_date >= :period_start AND event_date <= :period_end AND product_event_type IN ('action', 'error')), 0)) AS error_rate_user_facing

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Error Rate (User-Facing)" }) or generate_query({ "metric": "Error Rate (User-Facing)", "adapter": "<your adapter JSON>" }).

← Back to Product metrics