Summary
Restaurants submitted menus, photos, and rules through chat, PDFs, and emails.
Ops manually interpreted everything.
Onboarding didn’t scale.
The CEO wanted self-serve onboarding.
But nothing was structured enough to design it.
Product Type:
B2B2C Platform · Restaurant Onboarding
Role:
Product / UX Designer
Time:
3 days
Enabling self-serve onboarding
I used AI to extract structure from messy inputs:
Defined a scalable onboarding structure from menus, photos, and rules
Demonstrated a viable self-serve flow
Aligned product direction in days
AI as Structure Partner
AI as Structure Partner
Clustered menus, photos, and rules → extracted recurring fields (menu section, item name, price, photo type, reservation hours) → defined onboarding sections.
AI as Prototype Engine
Generated and iterated form flows from the field model (Menu, Photos, Hours, Reservation Rules) → working self‑serve prototype in days.
AI as Alignment Tool
Prototype made onboarding structure visible (sectioned form + required fields) → self‑serve model alignable across team.
