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Scaled EMI orders by 6x (2 to 12 orders daily) by building and optimizing the end-to-end EMI ecosystem within EMotorad’s Dealer App. Identified and resolved key operational, technical, and UX friction points, prioritizing high-impact fixes that streamlined the purchase process for high-ticket e-bicycles.
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Love it Daniel! Type, colors, logo, everything works so well together! 🙌
How do you keep a brand's promise of calm intact once real users start clicking through checkout?
Mudita builds minimalist devices around one idea: technology that harmonizes with your life instead of competing for your attention. The brandbook lays that promise out in detail - tone, restraint, what the brand should never feel like. My job was carrying that same discipline into the product itself.
I worked across the checkout flow, the storefront and category browsing, and the product page above the fold - three surfaces where small frictions had quietly built up against the brand's own case for calm. The brandbook gave the rules. The UI work was making sure those rules survived contact with a real cart and a real user.
For the case study visuals, I used AI for the first time to produce product footage 🤖 - wind moving through a scene, an object drifting in place. Higgsfield was genuinely a good way to learn that workflow fast.
Full case study - actual before/after breakdowns - is up on Behance 🔗, linked below.
Genuinely curious where people land on this: generating production assets with AI is fast, and honestly kind of fun as a workflow - but there's real pushback that it's taking work away from people who used to shoot this stuff. Where do you fall on that?
The checkout flow detail is what stands out to me, that's usually where a brand's calm promise turns into three different button behaviors fighting each other. On your AI question, I think it matters less whether it's fast and more who's checking the output against the brand's...
Awesome!
