Help data scientists capture failed leads for quality audits
Help data scientists capture failed leads for quality audits
Data scientists lose signal when invalid leads go unlogged, biasing models. Log rejected leads to a central discard spreadsheet for audit so analysts can spot patterns and improve datasets.
Overview
Invalid leads left unrecorded skew model inputs and slow down investigation. Capture every rejected submission into a central discard spreadsheet for audit and root-cause work, giving data science and ops immediate visibility and faster triage of data issues.
Notable Features
- Record rejected submissions with error reasons
- Tag entries with campaign and source
- Enable analyst filters and exports