Executive summary
TRANSFORMING COMPATIBLE UNITS FOR ENHANCED USABILITY & DECISION MAKING
30-SECOND SUMMARY
- The Problem
- Compatible Units is a feature‑dense domain with complex planning, costing, and configuration logic.
- The Decision
- Reimagined CU Navigation: A simplified, persona‑aligned structure emerging from card sorting insights & Clear separation of Templates, Configuration, Execution, and Basic Data.
- The Outcome
- 40–60% Reduction in misclicks
Senior Lead UX Designer
3 months
2025
IFS
Impact At A Glance
40–60%
Reduction in misclicks
Faster Problem Identification
Increased User Confidence
Better Alignment With Engineering & PM Workflows
UNDERSTANDING THE PROBLEM
- Enable fast, actionable insight directly from the dashboard
- Reduce confusion around key metrics like variance
- Improve the IA and navigation structure for CU pages
- Validate the mental model of real users through structured research
STRATEGIC METHODOLOGY
- 01
User Interviews: Engaged planners, engineers, and internal SMEs to map real workflows and identify friction points.
- 02
Personas: Created role‑based personas for the CU ecosystem (e.g., CU Librarian, Design Engineer, Project Planner).
- 03
Storyboarding: Illustrated end‑to‑end task completion journeys.
- 04
Card Sorting Workshops: Conducted multiple card sorting sessions to restructure CU navigation.
- 05
Tree Testing: Validated revised navigation hierarchies for findability.
- 06
Redesigned information architecture based on task frequency.
- 07
Ran several rounds of moderated usability tests to validate: Task clarity, Widget interactions, Cost‑variance comprehension, Navigation intuitiveness, Labeling and terminology.
DELIVERING IMPACT
- Reimagined CU Navigation: A simplified, persona‑aligned structure emerging from card sorting insights & Clear separation of Templates, Configuration, Execution, and Basic Data.
- Two New Home Widgets: Compatible Unit Discrepancies Widget - Highlights highest variances instantly & Quick access to detailed CU navigator - Graphical breakdown of material & labor variances.