Measure success of AI models

Measure success of AI models

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Problem

Eigen needed to roll out new confidence models within its B2B document extraction platform.

The challenge:

  • Integrate these models without disrupting existing user workflows

  • Ensure users understood and trusted the updated confidence scores

  • Drive adoption of the new precision settings and reduce reliance on manual review

Solution

Led the UX strategy, including:

  • Facilitated ideation and user journey mapping to identify key touchpoints for explanation and interaction

  • Designed a step-by-step visual guide that clarified:

    • How confidence scores were calculated

    • The relationship between target precision settings and model output

    • When and why to adjust those settings

  • Integrated the explanation seamlessly into existing workflows without creating friction

Conducted validation sessions with internal teams and key users to refine clarity and usability.

Outcome

  • Lowered cost of operations by reducing need for human QA

  • Supported improved model performance visibility and customer satisfaction

  • Helped scale the platform with less dependency on manual intervention


Design Insights for Product Builders

Design Insights for Product Builders

Design Insights for Product Builders

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