UX Research & Analysis
Breaking down the project
Analyzed leading no-code editors to uncover usability gaps, redundant flows, and opportunities for innovation. This research provided a clear picture of industry standards while highlighting areas where AI could deliver differentiation and simplicity.
Mapped end-to-end user journeys to uncover where creators struggle within existing no-code editors. The research highlighted friction points such as overwhelming onboarding steps, scattered editing controls, and lack of contextual guidance. By visualizing the journey, I identified critical opportunities where AI could step in to simplify tasks, reduce cognitive load, and deliver a smoother, more empowering editing experience.
The research and journey mapping led to a clearer understanding of where no-code editors create friction for users. By reframing flows with AI integration, the redesigned journeys reduce complexity and shorten onboarding time, while providing contextual guidance during editing. The outcome is a more intuitive, user-friendly AI Self-Editor that empowers creators to focus on content, not process—delivering faster creation, smoother navigation, and a more confident editing experience.
