Case Study

Next Generation Search Experience

Design leadership for complex enterprise search and data discovery systems.

Abin George Thomas | Principal UX Designer | Bengaluru, India

01. Overview

As the lead for this initiative, I transformed a legacy "Classic Search" model into a high-performance discovery tool. The focus was on eliminating systemic navigation debt and streamlining complex data filtering into a unified, single-screen experience.

02. Role & Leadership

In my capacity as Principal UX Designer, I was responsible for the strategic direction and execution of the search redesign.

Strategic Benchmarking

Led competitive analysis against SharePoint and Google Search to define modern usability standards.

System Architecture

Conceptualized the "Single Screen" and Three-Panel Layout to resolve critical navigation debt.

03. Competitive Analysis

Criteria Classic Experience SharePoint Google Search
Ease of Use Low (Cluttered UI) Moderate High
Flexibility Limited (Reset on Nav) High High
Navigation Fragmented Seamless Seamless

04. Solution: Three-Panel Architecture

Single-Screen Paradigm

Eliminated page-hopping, preserving search configurations and user progress during data testing.

Optimized Filtering

Redesigned filtering logic to support complex enterprise datasets without accidental exits.

05. Leadership Takeaways

Workflow over UI

Moving to a Three-Panel Layout solved core structural navigation debt rather than just aesthetic issues.

Metric-Led Design

Defining business impact targets early ensured the team remained focused on high-ROI features.

Scalable Systems

Advanced search requires modular systems that handle large data growth without sacrificing usability.

Measured Business Impact & ROI

30%

Efficiency Gain

Faster task completion rates by streamlining configuration flows.

21.5%

CSAT Lift

Improvement in Customer Satisfaction by eliminating UI clutter.

Reduced

Support Queries

Significant decrease in support tickets for Search and Reports assistance.

Additional Outcomes
  • Increased Feature Adoption: Observed growth in search usage following the interface launch.
  • Error Mitigation: Substantial reduction in user-reported configuration errors during data filtering.
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me@abin.me