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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.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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