ADIDAS enterprise sales dashboard
Transforming sales data into fast, actionable insights
In just 8 hours, I designed an enterprise-grade sales dashboard for Adidas, transforming fragmented data into actionable insights. The goal was to deliver a solution that accelerates sales decisions at global scale.
My Role
Research, Ideation
Testing, Prototyping
Timeline
8 Hours
Team
Solo Product Designer
Tools
Figma, Miro
Strategic Goals: Clarity over Complexity
I have set clear, outcome-driven goals that align tightly with user and business needs:
How do you empower an e-commerce giant’s sales teams with clear, actionable insights — all in one day?
Our Mission
As part of a high-pressure design sprint, I was tasked to create a concept sales dashboard for a high-impact
e-commerce business like Adidas.
Starting from a blank slate, my goal was to deliver a dashboard that empowers global sales teams with clarity, real-time insights, and data-driven decision-making.
The Challenge: Designing from Zero for High-Impact Enterprise Needs
Working solo in an 8-hour sprint, I applied an Impact-Effort framework to prioritize high-value features. This ensured that the sprint outcome focused on clarity, usability, and real-time decision support.
Prioritizing What Matters Most
Studied e-commerce dashboard patterns.
Researched enterprise UX for decision-making efficiency.
Reviewed enterprise data visualization best practices (NN/g guidelines).
With no pre-existing design, I grounded my approach in secondary research and enterprise UX principles:
Insights:
Building Enterprise Strategy
Visualizing Early Concepts
To rapidly move from strategy to visualization, I built early low-fidelity concepts to explore structure and layout. These early designs helped me validate the core layout and hierarchy of the dashboard before diving into
high-fidelity details.
Surface-level KPIs for sales performance at a glance.
Pipeline visibility, breaking down deal stages.
Sales forecasts to inform strategic actions.
Report exports, essential for fast sharing.
Early Report view with filters and export capability
Forecast view of future opportunities
Dashboard focusing on KPIs and pipeline stages.
Early User Testing
With these initial concepts, I conducted rapid feedback sessions to validate direction:
Cognitive walkthroughs with peers.
Quick guerrilla testing with 2 business-focused users.
Methods used:
🟢 Clean layout, KPIs surfaced well.
🟡 Users missed visual indicators for alerts.
🟡 Pipeline felt too passive.
🟡 Reports were too minimal.
Feedback:
These fast insights led me to refine hierarchy, enhance visual cues, and tighten the user flow, ensuring the final prototype felt actionable and enterprise-ready.
Customizable dashboard view: Instant access to widgets to necessary modules
Track active opportunities with deal values, probability scores, and timelines.
Track revenue, product growth, and category-level analytics.
Actionable AI insights and forecasts to guide sales strategies and priorities.
Identify high-value segments and behavior trends to optimize targeting.
Sales forecast of revenue growth and market share improvements.
Real time alerts on on pipeline risks and milestones.
Fast data exports in multiple formats for stakeholder sharing and analysis.
The final high-fidelity prototype delivers:
KPI-driven dashboard: Revenue, sales pipeline, and customer segmentation upfront.
Real-time notifications: Immediate visibility into market shifts and sales triggers.
AI-powered insights: Predictive analytics guiding proactive decisions.
Effortless navigation: Streamlined tab structure and essential filters.
Exportable reports: Quick PDF/CSV export for sharing insights.
Final Design Enhancements
Impact: UX & Business
Key Learnings
Designing solo under extreme time constraints sharpened my decision-making and strategic prioritization. It helped me hone end-to-end design thinking.
By focusing on essentials, I delivered clarity, confidence, and speed — empowering sales teams to act decisively.
"Courageous simplification outperforms exhaustive complexity."
This sprint reinforced a critical enterprise UX principle:
With more time and resources, I’d evolve this prototype by:
The goal is to transform this output into an enterprise-wide solution that continuously evolves with user needs.
Next Steps
If You Like What You See...
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© Karthik Anupindi 2025