Zero training, hundreds of dishes.

Overview

Now live on 411 tablets — after 5 of 5 untrained users completed the full flow in testing.

The Ordering Tablet is a tableside self-ordering device for all-you-can-eat restaurants — usable by any guest with zero training, with tier permissions and round rules enforced by the interface itself instead of a server’s memory.

Constraints: zero training opportunity for users; tier and round rules vary by merchant, so the interface had to be configurable; limited engineering resources demanded strict feature triage.

Key trade‑off: walking away from the poster-style ordering merchants widely hoped for, and concentrating resources on what the target dining format actually needed.

Company
Peblla
Platform
Tablet
Year
2024
Team
Product Manager
Engineering
Role
UX Design
UI Design
User Testing
Design System

Problem

Hundreds of dishes per AYCE table, with tier and round rules resting on servers’ memory — and guests with zero training and zero willingness to learn.

Approach

Let the interface remember the rules instead — tiers visible but locked, rounds merchant-configurable, order history always in reach.

Results

Five untrained users completed the flow unaided — and 411 tablets now run the floor every day.

Process

The AYCE problem

Hundreds of dishes, on human memory.

In all-you-can-eat hot pot, sushi, and BBQ restaurants, guests order in multiple rounds — a single table can accumulate over a hundred, sometimes several hundred dishes, and relying on servers to enter them by hand simply doesn’t hold up at peak hours. Menus are priced in tiers, too: what a table can order depends on which tier it paid for — expecting servers to memorize who may order what, and what’s already been ordered, is neither realistic nor error-proof.

The core question: how do you let a completely untrained guest smoothly self-order hundreds of dishes — while staying within tier permissions and round-based rules?

Who it’s for

The exact opposite of Mobile POS.

The users are dine-in guests seeing this interface for the first time — from children to grandparents, with zero training opportunity and zero willingness to learn. This is the exact opposite design premise from Mobile POS, which serves trained servers: the interface must carry zero learning cost. The secondary stakeholders are merchants, who care about operational efficiency and the accurate enforcement of tier and round rules.

Research

Three merchant demands, three fates.

Before design began, I conducted field observation in real restaurants, studying how guests behave in actual dining environments. Combined with market research and merchant interviews, this converged on the three demands that mattered most:

  • Display ordered items, so guests don’t re-order dishes they’ve forgotten — which wastes food
  • Strictly enforce dining round control
  • A desire for a full-poster, interactive ordering experience, distinct from the traditional image list

These three demands met three different fates: the first two became core features — and the third’s fate is a story of its own (see “The feature we didn’t build”).

Decision one

Hundreds of dishes, still navigable.

Many AYCE venues are mixed-format — the same restaurant lets a table choose all-you-can-eat hot pot, BBQ, or sushi. So navigation is two-tiered: the top bar carries the dining modes (hot pot, BBQ, sushi, plus drinks and desserts); tap one and a left side-navigation slides in with that mode’s sub-categories — pork, chicken, beef, seafood, veggies, noodles.

Because a table can order hundreds of dishes, a density toggle lets guests switch layouts on the fly: three-per-row for big, appetising photos, or four-per-row to scan far more of the menu at once.

Two ideas I pushed for that didn’t make the cut in the shipped product: a collapsible cart and a collapsible category rail, so guests could hide the chrome and focus purely on the food. The demo below reconstructs the collapsible cart as a concept — still worth revisiting.

Two-tier navigation for a menu hundreds of dishes deep — dining modes on top, sub-categories on the left, density on demand

Decision two

Hide it — or visible but locked?

Facing tiered menu permissions, the most straightforward approach is to hide dishes a guest can’t order — the cleanest interface. We didn’t take that path. The final solution: greyed-out + lock badge — higher-tier dishes remain visible, just locked.

  • For guests: they see the full menu, and never wonder “why does that table have a dish I can’t find?”
  • For merchants: a greyed-out higher-tier dish is itself the motivation to upgrade — guests can see it but can’t order it, and the call-server button is exactly that upgrade entry point

The cost is an interface that always looks fuller than one showing only orderable dishes — we accepted the visual density in exchange for the double win of unconfused guests and built-in upgrade motivation.

The core moment: greyed-out dishes with lock badges before an upgrade, instantly unlocked after

Decision three

Round rules as configuration, not code.

Round rules differ completely across dining formats — hot pot, sushi, and BBQ each restrict differently. So round control couldn’t be fixed logic; it was designed as a merchant-configurable rule system rendered dynamically in the interface — one interface, carrying different round rules in different restaurants. Guests always see exactly what they can still order this round, which heads off rule disputes between guests and servers before they start.

The full journey

Everything a table needs, self-served.

Around those decisions sits the rest of the ordering flow — the parts that let a whole table’s meal run without a server hovering:

  • Cart: the confirmation zone before submitting — quantities and options at a glance, so a shared table order goes in without mistakes
  • Order history: guests can check what the table has already ordered at any time, killing duplicate orders — and wasted food — at the source
  • Call server: self-service doesn’t mean no service — one tap summons a server for tier upgrades, special requests, or questions, reserving human attention for the moments that genuinely need it

The one we cut

The feature we didn’t build.

For the poster-style ordering merchants widely asked for, we built a prototype demo to validate the direction — and ultimately decided not to build it:

  • Engineering cost didn’t match the payoff: high implementation effort against a small base of merchants it would apply to
  • Wrong dining format: poster-style immersion suits high-end dining, while mid-to-low-priced AYCE guests want to order fast, frequently, and in rounds — not admire a beautiful menu

That decision let the team concentrate resources on what the target segment actually needed: navigation that scales, tier permissions, round control, and order history.

Prototype B — the prototype we actually recorded to validate poster-style ordering: an immersive scrolling menu where you open a dish, order in place, and check the cart. Beautiful — and deliberately shelved.
Prototype C — a second poster variant we explored alongside B, opening from the table’s welcome screen.

Design system

One kit, many merchants.

A component library and variant architecture let restaurants across merchants and dining formats assemble their own ordering interface from the same components, instead of redesigning from scratch for every new merchant — the delivery foundation behind the 411-tablet rollout.

Impact

Validated by five, live on 411.

Today the ordering tablet runs the floor at the all-you-can-eat hot pot, BBQ, and sushi restaurants it was built for — 411 tablets live and in daily use, roughly sixteen per restaurant, about one at every table.

Before launch, I led formal usability testing: five participants who had never seen the product walked the complete self-ordering flow. All five completed it — browse → order → view ordered items → call server — without assistance, with only minor refinements to follow and no structural issues found. For a product built for untrained guests, “tested, and only small fixes needed” is itself the proof — and those 411 tablets are what that clean test scaled into.

411

Tablets live and in daily use

Across the AYCE hot pot, BBQ & sushi floors it was built for

~26

All-you-can-eat restaurants running it

Roughly sixteen tablets each — about one at every table

5/5

Untrained users completed the flow

Browse → order → history → call server, without assistance

Reflection

The most important lesson came from the feature we didn’t build.

Walking away from poster-style ordering built a habit I’ve kept ever since: whenever a restaurant design request comes in, I ask about the dining format first — it decides which features are worth building, and which appealing-sounding requests deserve a firm no. Round control as a configurable rule system is that same instinct pointed the other way: one interface, serving many formats at once.

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