Redesigning Hiring Decisions at Scale

Context

Walmart’s field hiring process was fragmented across tools, teams, and workflows, making it difficult to assess candidates consistently and efficiently. Recruiters were forced to interpret incomplete signals across multiple systems, slowing decisions and increasing operational friction—especially at scale.

The challenge wasn’t designing another interface. It was designing a system that could consolidate hiring signals, reduce ambiguity, and support faster, higher-confidence decisions for field roles.

Leadership Challenge

Hiring at enterprise scale required navigating real constraints: legacy store systems, inconsistent data quality, offline environments, and high recruiter volume. Improving the experience meant aligning research, design, and business stakeholders around what actually mattered in hiring decisions—while operating inside tight operational realities.

The risk was clear: oversimplify and lose decision quality, or over-engineer and lose adoption.

What Jessa Led

Led end-to-end UX research to understand how recruiters evaluated candidates in practice, not just in policy
Identified decision bottlenecks and duplicated effort across fragmented hiring systems
Designed a centralized platform to surface meaningful hiring signals in one coherent experience
Partnered with recruiting, operations, and engineering to ensure feasibility in low-connectivity field environments
Drove clarity in agile delivery so teams could move faster without sacrificing quality

Metrics & Impact

Processed 150K+ data points from distributed store systems
Implemented offline-capable workflows to support poor field connectivity
Reduced duplicate touchpoints by 47%, streamlining recruiter effort
Improved speed and confidence in candidate assessment across field hiring teams

Outcome

Recruit Radar reshaped how hiring decisions were made by consolidating fragmented signals into a unified decision surface. The platform reduced operational friction, improved recruiter efficiency, and demonstrated how experience design can materially improve business outcomes—not by adding features, but by clarifying decisions.

Overview

Slide showing the background issue that warranted the project

Research Process:

Slide showing three types of research outcomes

Design Process

Due to confidentiality agreements and ongoing design iterations, low-fidelity wireframes and information architectures have been excluded. All data included is placeholder only, and do not represent any true employee information.

Product Designs

Mockups presented have been altered from their original forms in order to protect company information. No identifying information, layout or content is included.