Client : Nokia
Year : 2024
Duration : 4 Months
Power BI UX Audit & Redesign
Improving usability, information hierarchy, and visual clarity of enterprise Power BI dashboards through heuristic evaluation and UX redesign recommendations.
Overview
Conducted a UX audit and visual redesign exercise for a suite of Power BI dashboards. The objective was to evaluate the existing analytics experience, identify usability issues, and recommend improvements that would help users consume information more efficiently and make data-driven decisions with greater confidence.
Problem Statement
The existing Power BI dashboards contained large volumes of information but lacked clear visual hierarchy, intuitive navigation, and consistent interaction patterns. Users often struggled to identify key insights quickly, resulting in increased cognitive load and reduced efficiency when analyzing data.
Discovery
Reviewed existing Power BI dashboards
Understood business goals and reporting requirements
Identified key user tasks and dashboard usage patterns
Heuristic Evaluation
Evaluated dashboards against established usability principles, including:
Information hierarchy
Consistency and standards
Visual clarity
Navigation and discoverability
Recognition over recall
Cognitive load reduction
Key Findings
Important KPIs lacked visual prominence
Dense layouts increased cognitive load
Inconsistent chart usage reduced readability
Navigation and filtering required excessive effort
Related information was scattered across multiple views
Design
Leveraged Power BI components and capabilities
Redesigned layouts and visual structures
Simplified navigation and filtering experiences
Improved KPI visibility and dashboard organization
Created visual design recommendations and high-fidelity concepts
Proposed a redesigned dashboard experience focused on improving information hierarchy, usability, and visual consistency. The solution prioritized key metrics, streamlined layouts, simplified interactions, and leveraged Power BI components to create a more intuitive and efficient analytics experience.
Before
After
Business Impact
Reduced effort required to interpret dashboard data
Enhanced user efficiency and decision-making
Created a more consistent analytics experience
Established UX guidelines for future dashboard development
Improved visibility of critical business metrics
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