Closing Lovable's Visibility Gap

This independent UX case study addresses critical user experience issues within Lovable, focusing on the unexpected loss of credits and working code. The study reveals how users frequently encounter situations where their progress and resources are depleted without adequate prior warning. Key areas of investigation include: • Unforeseen credit depletion during project builds • Lack of real-time cost visibility for actions • Absence of accessible version history for code changes • Inability to easily revert to previous work states Drawing on direct user complaints from platforms like Trustpilot and G2, and further validated by Lovable's own support team, this research identifies a significant "visibility gap." The problem stems not from missing safety features, but from crucial cost and version information surfacing only after critical decisions have been made, leading to frustration and lost work. The case study proposes two evidence-backed UX improvements: an upfront credit estimation displayed before prompts are executed, and an intuitive visual version-history rail for immediate one-click rollbacks. It also outlines a conceptual certification program, Lovable Academy, to enhance user proficiency and platform understanding, mirroring successful models from other product education initiatives. This comprehensive analysis provides a working Figma prototype with redesigned screens and a clear business logic, directly linking each proposed fix to the identified problems.