{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6b49470bad4841ec93d3f216eaee7bf3\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6b49470bad4841ec93d3f216eaee7bf3-b8f0a2df738bcec7.gif","duration":493.413,"title":"Figma Walkthrough","description":"Hello everyone, in this video, I walk you through our journey in building a quantitative model aimed at finding signals in noise, specifically for our AI product. We utilized Figma and FigJam for brainstorming and collaboration, which allowed us to consolidate our ideas and focus on two key tracks. After conducting user interviews with eight industry professionals, we identified pain points in the current system and designed a new streamlined process. I also share our high-fidelity design and prototype, emphasizing the importance of user flow and aesthetics. I encourage you to review our approach and provide feedback as we move forward."}