To improve Lifedata.ai’s complex AI platform, I began with heuristic evaluations to detect usability friction. I redesigned the navigation and onboarding to make the experience more intuitive. Tree testing helped validate the new structure. Using the Jobs-to-be-Done framework, I mapped out user motivations and translated them into detailed personas. These personas guided the creation of realistic user scenarios. Throughout, I collaborated closely with the team to ensure the changes aligned with both user needs and business goals. The result was a simpler, faster, and more trustworthy platform experience.

I proceeded by creating low-fidelity wireframes that visualized user interactions across Lifedata.ai’s key features, including the Omni CRM and WhatsApp analytics modules. I also created wireframes that incorporated user feedback into the layout of key platform features such as the Omni CRM and Analytics dashboards. The goal was to present complex data sets in an accessible way, facilitating user interactions with Lifedata.ai’s advanced AI capabilities without overwhelming them. After main UX challenges were solved, I was tasked to update visual identity system for the platform and the website. Here are the results:

Balancing Lifedata.ai’s advanced AI functionalities with a more intuitive user experience was a rewarding challenge. By conducting thorough research, including tree testing and heuristic evaluations, I pinpointed areas that needed refinement. The redesigned navigation and improved user flows streamlined the platform while retaining its technical strength, allowing users to focus on what matters most—building customer relationships through efficient AI-powered interactions. By updating website and platform's visual identity I was able to align Lifedata's brand with the emotional response from it's users.