The setting
's is cloud software that manages a restaurant's website, online ordering, customer records, point of sale, fulfillment and kitchen work. It serves restaurant owners and their guests.
Required choices are disappearing inside a menu built for optional extras.
Explicit choices protect guest intent, while automatic defaults protect the speed of ordering.
Who you’d be doing this for
“Someone called during lunch because the sandwich wouldn't go in their cart. They thought the bread choices were extras.”
Rokia Boateng · Restaurant owner · a character in this brief
Runs a sandwich restaurant whose guests must choose bread and a side before adding a meal.
What is at stake
Guests miss required choices in 19% of observed ordering attempts. You weigh explicit interactions against defaults within one release slot.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- explicit intent vs faster completion
- visible guidance vs compact menus
- shared patterns vs brand expression
Why Owner
Direct online ordering uses shared interaction patterns across thousands of distinct restaurant brands.
Written with these in mind
Not your kind of problem? 20 more at Owner, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Owner. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Head of Design, Consumer (opens in a new tab)
- Set the design vision across online ordering, native mobile apps, loyalty, and lifecycle engagement.
- Owner powers the digital guest experience for thousands of restaurants, from online ordering and branded apps to loyalty and lifecycle engagement.
- Staff Product Designer (opens in a new tab)
- Senior Product Designer (opens in a new tab)
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on easing someone in at the cost of understanding.
Pay in 2 completion falls to 71% after approved shoppers open the terms review.
You have to weigh a faster confirmation flow against making both payment dates unmistakable.
Painter form completion dropped from 70% to 61% after the availability step appeared.
You must weigh faster project starts against the scheduling detail professionals need to respond.
Managers are reaching service with unclear device requirements and conflicting account signals.
You must weigh fast reassurance against guidance that is actually verified.
The same setting, from another role
Each is set around Owner’s Owner AI-native restaurant platform, written for a different role. They’re separate briefs, not the same scenario.
Owners cannot tell whether a payout difference is pending, refunded, or missing after service.
You have to weigh a fast daily read against financial detail people can trust.
Multi-location operators cannot see which locations are losing repeat direct guests or why.
You must weigh a useful first retention view against definitions operators and Finance can both trust.
Several owners changed promotions or hours after recommendations missed local operating context.
You have to weigh immediate protection for live restaurants against the evidence needed to improve the recommendation loop.
Other problems with a similar purpose
In each of these, as in this one, the aim is to make complicated, high-stakes systems feel simple to navigate without quietly removing the protections people depend on.
Cross-surface tasks take a median of 7.4 navigation actions, and support data ties the confusion to delayed production changes.
You have to decide how developers move between workflows, evaluations, connections and deployed agents before deep links and permissions migrate and set that path.
Admins stall at permission validation and destination selection, and many misread what happens when a connection is committed.
You have to settle the interaction model now, because changing it after rollout is costly.
In audit samples, interviewers saw context that some customers do not permit, and the migration runs one way.
You have to keep scorecards structured and auditable while narrowing what interviewers see.
