Form Analytics Instrumentation & Data Quality Schema
N.B. This prompt is meant for automation engineers or performance testers responsible for ensuring that an API meets performance requirements. Emphasize the use of automated tools to streamline the testing process, especially for high-load conditions.
📄 Prompt Template
Define a robust analytics tracking plan for [FormName] used by [Company] to enable precise diagnosis and optimisation. Instrument field-level events, error reasons, time in field, drop-off step, and save/resume. Standardise event names and properties for [Timeframe] across [Region].
Output format:
Event taxonomy table (Event, Properties, Example, PII flags, Owner [Role]).
Data quality rules (validation, deduplication, null patterns).
Funnel definitions (steps, inclusion/exclusion, attribution windows).
QA checklist & test scripts (pre-prod and prod).
Dashboard brief (KPIs, dimensions, alert thresholds, readme).