EhsanLab - AI Product Studio
EhsanLab is a modern QA, DevOps, and security testing platform designed for SaaS and enterprise teams. This case study covers the end-to-end experience, from information architecture and service discovery to conversion-focused marketing pages and a QA dashboard concept.
Focus: Information Architecture, Design Systems, Conversion Optimization, and the connection between marketing and product experiences.
Role
Product Designer (IA, UI system, marketing site, dashboard UX)
Scope
Marketing site, dashboard UX, system components
Problem and IA
Turning a generic SaaS shell into a clearer product story.
The original direction had an overloaded navigation system, unclear information architecture, and a familiar SaaS rhythm that made EhsanLab feel less distinctive than the offer required.
Goals
- Clarify the navigation and page hierarchy.
- Connect services with industries and proof points.
- Create a stronger Book a Call flow for conversion.
- Link the marketing website to the QA dashboard story.
Design system
Theme tokens and reusable components for marketing and dashboard surfaces.
I extracted colors, type hierarchy, spacing, radius, and component decisions into Figma styles so the experience could stay coherent across editorial sections, pricing cards, dashboard widgets, inputs, and proof modules.
Marketing experience
Services, industries, and proof arranged for faster decision-making.
The services grid makes the offer legible at a glance, while the results strip and industry cards show momentum and vertical expertise without turning the page into a repetitive card wall.
Structure
Services are grouped around business outcomes
then reinforced by metrics and industry applications. Additional case studies follow the same compact structure instead of appearing here as a full grid.
Featured case study
One deeper story, not another grid.
The featured CloudSync-style story gives recruiters and clients one focused narrative: the challenge, the AI-assisted approach, and the metrics that make the work feel grounded.
Additional case studies follow the same structure elsewhere, but this page keeps the rhythm curated and editorial.
Pricing and conversion
Engagement models built around clarity and action.
Pricing cards separate engagement options clearly, while the conversion pattern keeps one primary route forward: Book a Call. Secondary contact and strategy form paths support visitors who need more context before committing.
Dashboard experience
A QA dashboard that makes marketing proof feel product-backed.
The dashboard focuses on KPI widgets and a bug board, giving the homepage metrics a product counterpart. It connects release quality, QA status, and delivery confidence into one ecosystem instead of presenting disconnected dashboard views.
Reflection
From AI output to a system-driven case study.
The strongest improvement was turning a broad AI/Figma Make output into a clearer product narrative. The final direction systemizes the visual language, simplifies IA, strengthens conversion, and connects the marketing experience with the dashboard ecosystem.
Outcome
Premium, UX-focused, conversion-led, and easier to scan.