Human-in-the-loop
evaluation interface

Product design for auditing AI-modeled search results

Product design for auditing AI-modeled search results

Project overview

As H-E-B increasingly relies on predictive and generative AI systems to inform the output of customer search, merchandising teams needed visibility into that output. Those outputs required human analysis to validate the results or adjust based on business objectives or additional context, especially during the initial adjustment to an AI-informed approach.

I was tasked with building a Human-in-the-Loop tool to streamline workflows, enhance scalability of search output overrides, and ensure that we're building trust in AI systems and continuing to improve outputs.

What I did

Role: Lead (and sole) product designer and content designer

  • Mapped current merchant workflows

  • Evaluated user needs for auditing search results outputs to ensure effective and transparent override methods

  • Leveraged the H-E-B design system to build this UI from scratch, while also reusing existing and familiar pieces of merchant experience to maintain connection to existing tooling

  • Partnered closely with front end engineering to constantly iterate and respond to changing user needs

  • Prepared final files for handoff and led visual QA