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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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You only get to keep one. Which stays?
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I can see a case for both. Curious where you land.
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