.webp)
Introduction
Zenith AI is an AI-powered analytics SaaS platform used by enterprises to monitor KPIs, sales, and operational data. While the platform had advanced features, users found it difficult to extract insights quickly, leading to frustration and underutilization.
This case study shows how we simplified their dashboard, improved usability, and built a scalable design system that empowered both novice and advanced users.
The Core Problem
- Overcrowded dashboards with too many charts and tables.
- Poor visual hierarchy made it difficult to focus on key metrics.
- Steep learning curve for new users.
- Lack of consistent design patterns for UI elements.
As a result, users were abandoning tasks, onboarding was slow, and churn rates increased.
Discovery & Research
User Research
- Conducted interviews with 50 enterprise users across multiple industries.
- Key insights:
- Users wanted customizable dashboards to see metrics relevant to them.
- Many found alerts, charts, and tables overwhelming without clear labeling.
- Users desired a consistent UI pattern for easier navigation.
- Users wanted customizable dashboards to see metrics relevant to them.
Competitive Benchmarking
- Competitors like Tableau and Power BI highlighted clarity, modular dashboards, and guided onboarding.
Journey Mapping
- Mapped workflows for KPI tracking, report generation, and alert management.
- Identified pain points in visual clutter and redundant navigation paths.
Redesign Strategy
We knew that “fixing screens” wouldn’t be enough. Instead, we defined three guiding principles:
- Simplify Complexity – Modular design blocks, prioritized metrics, and contextual actions.
- Consistency Across UI – Design system with reusable components for scalability.
- Improved Onboarding – Interactive guidance and contextual tooltips for new users.
What We Crafted
The redesign unfolded through several key deliverables:
- Interactive Dashboards – Drag-and-drop widgets, real-time data visualization, responsive design.
- UI Kit & Components – Standardized colors, typography, and charts.
- Modular Dashboard Layouts – Customizable panels for metrics, KPIs, and reports.
- Prototypes & Usability Testing – Iterative testing with enterprise teams.
Business Results
The redesign didn’t just make users happier — it fueled company growth.
- 35% faster onboarding for new users.
- 45% increase in active user engagement.
- 30% reduction in support tickets related to dashboard navigation.
- Users reported higher satisfaction and productivity.
The platform now had both happier customers and stronger business outcomes.
Key Takeaways
This project reinforced three critical lessons for me as a designer:
- Enterprise users benefit from clarity and modularity.
- Consistency in UI reduces learning curves.
- Guided onboarding and contextual help improve adoption.
Outcomes & Impact
bookings
drop-offs
feedback
Closing Thoughts
Zenith AI’s redesign demonstrates that even complex SaaS platforms can be made intuitive and user-friendly with modular dashboards, clear hierarchy, and thoughtful onboarding.
What started as a frustrating booking process is now a fast, clear, and trustworthy experience that sets the foundation for global expansion.
