Arif khan
Design Forensics: Research-Driven UI/UX Design
CLOSING LOVABLE'S VISIBILITY GAP
Independent UX Case Study
The Problem
Lovable's builders lose credits and working code without warning —
not because the safety features are missing, but because cost and
version history surface after the fact, not before the decision
that needed them.
The Evidence
Sourced directly from dozens of independent Trustpilot and G2
reviews — and confirmed in writing by Lovable's own support team,
who publicly acknowledged that credits were "running down faster
than expected and cutting users off mid build." Every claim in
this case study links to its real source.
My Approach
Two scoped UX additions built from patterns Lovable already has:
a credit estimate shown before the prompt is sent (not after), and
a visual version-history rail in the sidebar for one-click rollback.
Paired with a proposal for Lovable Academy — a certification
program modeled on Webflow University and Notion's playbook.
The Result
A full research-backed case study and working Figma prototype —
problem framing, sourced evidence, redesigned screens, and a
business-logic section connecting every fix directly back to where
the evidenced problem actually happens in the product flow.
UI/UX • Product Design • SaaS • AI Tools • UX Research • Case Study • Figma
🎨 View Interactive Prototype → [https://window-parse-39982836.figma.site ]
📖 Read the Full Case Study → [https://claude.ai/artifact/1a7PiarYskoh8YCtE4A2WH ]
📌 Project Note
Independent case study, not affiliated with, endorsed by, or
commissioned by Lovable. Created to explore how evidence-based UX
research can turn a real, documented product problem into a
scoped, defensible design proposal.
Need an evidence-backed UX audit for your AI or SaaS product?
Let's talk.
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Prism Analytics — From Complex Data to Clear Decisions
PRISM ANALYTICS
From Complex Data to Clear Decisions.
The Problem
B2B teams often have plenty of data, but finding the right business signal quickly can be difficult.
The Solution
I designed a premium analytics dashboard that brings Revenue, Active Users, Conversion Rate, Average Order Value, Revenue Trends, Recent Sales, and User Engagement into one clear workspace.
My Approach
I focused on information hierarchy, data visualization, fast scanning, consistent components, and a clean responsive UI — turning complex metrics into an interface that feels simple to use.
The Result
A focused SaaS dashboard experience that helps founders, product teams, and decision-makers understand performance faster and move from data to action with less friction.
Designed for real-world B2B SaaS products — not just a visual concept.
UI/UX • Product Design • SaaS • Dashboard • Data Visualization
Live Prototype →
https://cycle-drop-04018066.figma.site/
Building a SaaS product and need a dashboard that makes complex data easier to understand?
Let’s work together →
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TaskRelay — AI-Powered Work Continuity
I designed TaskRelay to solve a common team problem: when someone becomes unavailable, their work context often disappears with them.
Existing tools already manage tasks and projects, but they can still struggle with work context, skill matching, team capacity, alert overload, and smooth handoffs.
So instead of building another project-management tool, I explored a Work Continuity Layer that helps teams understand what’s affected, find the right backup, prevent overload, and take over with minimal friction.
The project includes Automatic Work Context, SkillMatch, Capacity Guard, Smart Alerts, Auto Backup Plans, Risk Radar, Take Over, and Relay AI — all designed around one simple idea:
When someone goes offline, the work doesn’t.
Designed by Arif Khan.
🔗 Explore the UI/UX Design → [https://juicy-relay-work-flow.base44.app/ ]
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CARBEX — Rethinking Performance E-commerce | UI/UX Concept
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