Food Delivery App Feature Breakdown: Customer, Restaurant, Courier and Admin

A food order is one commercial promise shared by four operating surfaces. The customer expects the quoted basket, the restaurant needs a producible ticket, the courier needs a feasible assignment and support needs evidence when any step diverges.

A long feature list can still omit the states between acceptance, preparation, pickup, delivery, payment and settlement. Those transitions—not the number of screens—determine whether the marketplace can recover.

This guide breaks the platform down by role and then reconnects every role through one order lifecycle.

Define the delivery business model

Define the delivery business model is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats define the delivery business model as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for define the delivery business model before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For define the delivery business model, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For define the delivery business model, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned define the delivery business model decision, acceptance criteria and recovery record
• Stop condition: define the delivery business model cannot be explained or restored from durable evidence

Onboard restaurants

Onboard restaurants is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats onboard restaurants as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for onboard restaurants before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For onboard restaurants, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For onboard restaurants, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned onboard restaurants decision, acceptance criteria and recovery record
• Stop condition: onboard restaurants cannot be explained or restored from durable evidence

Govern menus and availability

Govern menus and availability is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats govern menus and availability as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for govern menus and availability before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For govern menus and availability, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For govern menus and availability, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned govern menus and availability decision, acceptance criteria and recovery record
• Stop condition: govern menus and availability cannot be explained or restored from durable evidence

Build customer discovery

Build customer discovery is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats build customer discovery as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for build customer discovery before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For build customer discovery, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For build customer discovery, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned build customer discovery decision, acceptance criteria and recovery record
• Stop condition: build customer discovery cannot be explained or restored from durable evidence

Checkpoint 4: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Price baskets consistently

Price baskets consistently is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats price baskets consistently as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for price baskets consistently before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For price baskets consistently, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For price baskets consistently, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned price baskets consistently decision, acceptance criteria and recovery record
• Stop condition: price baskets consistently cannot be explained or restored from durable evidence

Create checkout and payment

Create checkout and payment is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats create checkout and payment as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for create checkout and payment before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For create checkout and payment, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For create checkout and payment, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned create checkout and payment decision, acceptance criteria and recovery record
• Stop condition: create checkout and payment cannot be explained or restored from durable evidence

Confirm orders idempotently

Confirm orders idempotently is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats confirm orders idempotently as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for confirm orders idempotently before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For confirm orders idempotently, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For confirm orders idempotently, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned confirm orders idempotently decision, acceptance criteria and recovery record
• Stop condition: confirm orders idempotently cannot be explained or restored from durable evidence

Operate restaurant acceptance

Operate restaurant acceptance is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats operate restaurant acceptance as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for operate restaurant acceptance before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For operate restaurant acceptance, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For operate restaurant acceptance, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned operate restaurant acceptance decision, acceptance criteria and recovery record
• Stop condition: operate restaurant acceptance cannot be explained or restored from durable evidence

Checkpoint 8: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Track preparation readiness

Track preparation readiness is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats track preparation readiness as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for track preparation readiness before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For track preparation readiness, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For track preparation readiness, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned track preparation readiness decision, acceptance criteria and recovery record
• Stop condition: track preparation readiness cannot be explained or restored from durable evidence

Assign couriers transactionally

Assign couriers transactionally is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats assign couriers transactionally as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for assign couriers transactionally before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For assign couriers transactionally, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For assign couriers transactionally, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned assign couriers transactionally decision, acceptance criteria and recovery record
• Stop condition: assign couriers transactionally cannot be explained or restored from durable evidence

Support pickup evidence

Support pickup evidence is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats support pickup evidence as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for support pickup evidence before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For support pickup evidence, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For support pickup evidence, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned support pickup evidence decision, acceptance criteria and recovery record
• Stop condition: support pickup evidence cannot be explained or restored from durable evidence

Track delivery progress

Track delivery progress is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats track delivery progress as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for track delivery progress before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For track delivery progress, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For track delivery progress, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned track delivery progress decision, acceptance criteria and recovery record
• Stop condition: track delivery progress cannot be explained or restored from durable evidence

Checkpoint 12: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Handle cancellation and refund

Handle cancellation and refund is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats handle cancellation and refund as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for handle cancellation and refund before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For handle cancellation and refund, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For handle cancellation and refund, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned handle cancellation and refund decision, acceptance criteria and recovery record
• Stop condition: handle cancellation and refund cannot be explained or restored from durable evidence

Calculate commissions and earnings

Calculate commissions and earnings is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats calculate commissions and earnings as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for calculate commissions and earnings before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For calculate commissions and earnings, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For calculate commissions and earnings, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned calculate commissions and earnings decision, acceptance criteria and recovery record
• Stop condition: calculate commissions and earnings cannot be explained or restored from durable evidence

Build admin and support recovery

Build admin and support recovery is a separate product and operating decision within a food-delivery marketplace coordinating menus, orders, restaurants, couriers, payments and support. It changes the promise made to users, the authority of each role, the evidence the platform retains and the recovery route when normal processing fails.

The failure mode is concrete: the team treats build admin and support recovery as a screen requirement while lifecycle, permissions, downstream consequences and exception ownership remain implicit. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, user-visible result and exception route for build admin and support recovery before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For build admin and support recovery, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For build admin and support recovery, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned build admin and support recovery decision, acceptance criteria and recovery record
• Stop condition: build admin and support recovery cannot be explained or restored from durable evidence

Implementation references

Use GS1 foodservice standards and record the version applied during release review.

Validate against OWASP API Security Top 10 and record the version applied during release review.

Review OWASP Authorization Cheat Sheet and record the version applied during release review.

Compare with W3C WCAG 2.2 and record the version applied during release review.

Continue with Food Delivery Clone when converting this operating model into delivery scope.

Frequently asked questions

Which applications are required?

Customer, restaurant, courier and admin experiences can be separate or role-aware, but their authority must remain distinct.

How is menu availability kept accurate?

Restaurants need governed item, schedule and stock controls with clear freshness.

When should a courier be assigned?

According to preparation, distance, capacity and the operating model—not a fixed screen sequence.

How are duplicate orders prevented?

Use idempotent checkout and provider-event handling.

What should cancellation consider?

Preparation, courier effort, payment state, policy and accountable party.

How are restaurants and couriers paid?

Through explainable ledgers, eligibility rules, holds and reconciliation.

What does support need?

One chronology across quote, order, restaurant, courier, payment and communication events.

What should be tested under load?

Meal-time search, menu reads, checkout, dispatch, tracking, notifications and settlement queues.

Turn the plan into release evidence

A credible release joins the customer promise to durable state, scoped authority and an owned recovery route. Product, engineering, operations, security and support should reach the same conclusion from the same identifiers.

Keep the first scope narrow enough to rehearse under failure. Expand only after permissions, data, financial consequences and customer remedies stay consistent through retries, dependency outages and human mistakes.