A great dashboard doesn't just display numbers — it helps businesses understand performance and make better decisions.
Introducing a modern Store Analytics Dashboard UI/UX Design by OrdainIT, designed for eCommerce businesses that need a clear view of their store performance.
✨ Design highlights:
Clean and intuitive dashboard interface
Revenue, orders, and customer analytics
Interactive sales overview and visual charts
Regional sales performance tracking
Key business metrics at a glance
Organized navigation and user-friendly layout
The goal is to simplify complex business data through a clean, structured, and easy-to-understand interface.
At OrdainIT, we design modern SaaS dashboards and digital products that combine usability with visual clarity.
💬 What's the most important metric you want to see first when opening an analytics dashboard?
AI can generate a dashboard. But can it give a product its own identity?
The first design was created by my client using AI a familiar dashboard style you've probably seen across countless AI-generated products.
I redesigned it to feel less generic and more intentional, with a distinctive visual identity, clearer hierarchy, and an experience built around meaningful celebrations.
The goal wasn't just to make it look better. It was to make it feel like its own product.
What do you think is missing from most AI-generated interfaces?
We’re testing two filtering layouts for a template library.
Top Filters
The filters are placed above the content. This option feels lighter, leaves more space for the cards, and works well when there are only a few main categories.
Sidebar Filters
The categories remain visible in the sidebar. This makes the available options easier to scan and works better for more complex filtering, but takes up some of the content space.
Which layout would help you find the right template faster?
This is how a social system should work: strong enough rules that the brand reads at thumbnail size, loose enough that the feed never looks copy-pasted. Do you hand clients a Figma kit for this, or build it in something their team edits themselves?