Making ordering simple, fast, and easier to finish.

More choice was making the decision harder.

Poke Inn accepted orders in store and through DoorDash and Uber Eats. Across those channels, low-performing options crowded the menu and made popular items harder to find.

The goal was not simply to shorten the menu. It was to understand how customers already wanted to buy, then make that path feel obvious.

Used real ordering behavior to redesign the menu.

I analyzed historical sales by ingredient, sauce pairing, and product combination. That showed where customers paused, which options added noise, and which combinations already had natural demand.

Best sellers moved forward in the hierarchy. Low-performing items came out, categories became easier to scan, and popular ingredient pairings became clear bundles.

• Mapped friction across DoorDash, Uber Eats, and in-store ordering
• Analyzed sales patterns instead of relying on preference alone
• Removed weak options and simplified category structure
• Tested promotion and bundle variations in real time

A calmer menu that sold more of what customers already loved.

The new combinations increased their take rate by 30%. Fewer weak items and a clearer category structure also improved the path to checkout across all three ordering surfaces.

The result came from a small but important shift: use the data to reduce the work a customer has to do, then make the better business outcome the natural next choice.