UX of Extracting accurate data from Tables

Led the user experience for a new table extraction workflow, introducing: - Multiple extraction modes– - - Table classification - - Mixed classification - - Table point extraction - - Mixed point extraction - Support for full-table and cell-specific extraction - Confidence scoring to indicate extraction reliability

Designed interfaces to: - Configure extraction type - Preview confidence levels - Evaluate outputs with precision/recall metrics

Users reported that the new workflow felt:

- “Clearer and more trustworthy” - “Much easier to decide whether to accept or edit extractions”

Feedback highlighted how confidence scoring helped reduce anxiety around ML reliability.