Benjamin Jouve

✓ Helping startups go from idea to usable product (0→1, MVP, product structuring)

✓ Improving conversion and user experience through audits, redesigns and rapid iterations

✓ Leading end-to-end product design (discovery, UX flows, UI, prototyping)

✓ Bridging product, brand and business to create coherent and effective user experiences

✓ Working in close collaboration with founders and product teams in early-stage environments

❖ Delivered acquisition and conversion-focused design for a diverse portfolio of clients, from early-stage startups to established companies

❖ Worked with companies such as Getaround, N2F, Domofen, Relevent, Swissroc, Evertrust, Quarksup, Epycure, Wingly, Advenis, as well as startups like Glev, Hoppi and Korben

❖ Designed and optimized landing pages, funnels and marketing experiences to improve clarity, engagement and conversion

❖ Contributed to growth initiatives (messaging, visual hierarchy, A/B testing hypotheses)

❖ Leveraged AI tools (via Pletor) to accelerate creative production and explore multiple design directions quickly

❖ Collaborated with cross-functional teams to align user intent, brand positioning and business goals

❃ Co-founded a FoodTech startup building a food assistant helping users find dishes matching their cravings, dietary needs and context

❃ Reframed restaurant discovery by shifting from “venues” to “dishes as the primary entry point”, unlocking a new acquisition channel for restaurants

❃ Led 0→1 product design across iOS, Android and Web (UX flows, search experience, recommendation logic)

❃ Defined product strategy, positioning and early growth experiments (acquisition, activation)

❃ Built the brand from scratch (naming, identity, tone, product narrative)

❃ Worked directly with restaurant partners to validate the model and onboard supply

Key challenge

❃ Proving acquisition value for independent restaurants due to limited tracking capabilities (offline conversion, no POS integration)

Key learnings

❃ Early-stage products require proxy metrics and qualitative feedback when attribution is not possible

❃ Strong insight: users relate more to specific dishes than restaurant brands when searching for food