Mútua Product Redesign & Replatforming

Mútua is the intelligence layer for impact capital markets, connecting capital allocators and fundraisers through evidence-backed Theories of Change. It combines AI, expert intelligence, and design to make systemic investing more informed and scalable.

Its taxonomy connects SDGs, Systems, Theories of Change, and Solutions, mapping 50,000+ organizations across 50+ impact strategies.

Mútua had originally been built in Bubble, a no-code platform for building web applications. As the product evolved, the team decided to replatform it to Lovable, rebuilding the product in a new technical environment.

I collaborated with another designer and four engineers throughout the transition, contributing to UX and interaction design, design system development, and AI-assisted prototyping across the product.

Mútua had grown into a complex product, with 50,000+ organizations, multiple taxonomy layers, and increasingly dense workflows. Bubble was becoming harder to work with at that level of complexity.

The challenge was to move the product to a new environment while preserving its underlying logic, improving the experience where needed, and maintaining coherence across the rebuild.

Moving to Lovable created room to rethink key parts of Mútua rather than simply reproduce the existing product in a new platform. I refined interactions, information flows, and interface patterns to make the experience clearer and more cohesive.

The design system I had structured in Figma provided the foundation for these changes. It was built to be AI-ready, with variables, components, and documentation organized as a shared reference for design, implementation, and the AI-assisted workflow.

I worked with the design and engineering team to rebuild Mútua in Lovable, refining key interactions, layouts, and information patterns along the way.

In parallel, I introduced an AI-assisted workflow connecting Figma, Claude, and Lovable to speed up the translation from design into implementation.

The connected workflow helped the team move from a structured, AI-ready design foundation to a fully replatformed product in roughly six weeks, while maintaining consistency from design through implementation.