App Store Launch Readiness for Mobile Apps: Submission and Production Checklist

A stable build can still fail review because the reviewer cannot reach a gated feature, a privacy disclosure contradicts runtime behavior or the app routes digital purchases outside an allowed billing model.

Launch readiness joins product policy, binary configuration, store metadata and production operations. Treating submission as a final administrative task turns preventable omissions into schedule risk.

This checklist produces a reviewable package and a recoverable public release.

Confirm developer account ownership

Confirm developer account ownership is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 developer account ownership 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 developer account ownership 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 developer account ownership, 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 developer account ownership, 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 developer account ownership decision, acceptance criteria and recovery record
• Stop condition: confirm developer account ownership cannot be explained or restored from durable evidence

Freeze the launch scope

Freeze the launch scope is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 freeze the launch scope 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 freeze the launch scope 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 freeze the launch scope, 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 freeze the launch scope, 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 freeze the launch scope decision, acceptance criteria and recovery record
• Stop condition: freeze the launch scope cannot be explained or restored from durable evidence

Version builds consistently

Version builds consistently is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 version builds 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 version builds 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 version builds 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 version builds 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: operations owner
• Release evidence: versioned version builds consistently decision, acceptance criteria and recovery record
• Stop condition: version builds consistently cannot be explained or restored from durable evidence

Protect signing credentials

Protect signing credentials is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 protect signing credentials 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 protect signing credentials 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 protect signing credentials, 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 protect signing credentials, 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 protect signing credentials decision, acceptance criteria and recovery record
• Stop condition: protect signing credentials 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.

Audit runtime permissions

Audit runtime permissions is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 audit runtime permissions 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 audit runtime permissions 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 audit runtime permissions, 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 audit runtime permissions, 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 audit runtime permissions decision, acceptance criteria and recovery record
• Stop condition: audit runtime permissions cannot be explained or restored from durable evidence

Match privacy disclosures

Match privacy disclosures is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 match privacy disclosures 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 match privacy disclosures 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 match privacy disclosures, 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 match privacy disclosures, 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 match privacy disclosures decision, acceptance criteria and recovery record
• Stop condition: match privacy disclosures cannot be explained or restored from durable evidence

Review authentication and deletion

Review authentication and deletion is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 review authentication and deletion 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 review authentication and deletion 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 review authentication and deletion, 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 review authentication and deletion, 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 review authentication and deletion decision, acceptance criteria and recovery record
• Stop condition: review authentication and deletion cannot be explained or restored from durable evidence

Validate payment policy

Validate payment policy is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 validate payment policy 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 validate payment policy 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 validate payment policy, 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 validate payment policy, 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 validate payment policy decision, acceptance criteria and recovery record
• Stop condition: validate payment policy 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.

Prepare reviewer access

Prepare reviewer access is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 prepare reviewer access 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 prepare reviewer access 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 prepare reviewer access, 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 prepare reviewer access, 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 prepare reviewer access decision, acceptance criteria and recovery record
• Stop condition: prepare reviewer access cannot be explained or restored from durable evidence

Complete store metadata

Complete store metadata is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 complete store metadata 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 complete store metadata 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 complete store metadata, 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 complete store metadata, 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 complete store metadata decision, acceptance criteria and recovery record
• Stop condition: complete store metadata cannot be explained or restored from durable evidence

Capture accurate screenshots

Capture accurate screenshots is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 capture accurate screenshots 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 capture accurate screenshots 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 capture accurate screenshots, 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 capture accurate screenshots, 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 capture accurate screenshots decision, acceptance criteria and recovery record
• Stop condition: capture accurate screenshots cannot be explained or restored from durable evidence

Test supported devices

Test supported devices is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 test supported devices 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 test supported devices 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 test supported devices, 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 test supported devices, 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 test supported devices decision, acceptance criteria and recovery record
• Stop condition: test supported devices 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.

Verify production dependencies

Verify production dependencies is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 verify production dependencies 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 verify production dependencies 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 verify production dependencies, 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 verify production dependencies, 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 verify production dependencies decision, acceptance criteria and recovery record
• Stop condition: verify production dependencies cannot be explained or restored from durable evidence

Plan staged release

Plan staged release is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 plan staged release 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 plan staged release 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 plan staged release, 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 plan staged release, 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 plan staged release decision, acceptance criteria and recovery record
• Stop condition: plan staged release cannot be explained or restored from durable evidence

Monitor and support launch

Monitor and support launch is a separate product and operating decision within a mobile product preparing binaries, listings, privacy disclosures and production services for public review. 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 monitor and support launch 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 monitor and support launch 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 monitor and support launch, 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 monitor and support launch, 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 monitor and support launch decision, acceptance criteria and recovery record
• Stop condition: monitor and support launch cannot be explained or restored from durable evidence

Implementation references

Use Apple App Review Guidelines and record the version applied during release review.

Validate against Google Play policy center and record the version applied during release review.

Review Apple privacy manifests and record the version applied during release review.

Compare with OWASP API Security Top 10 and record the version applied during release review.

Continue with Mobile App Development when converting this operating model into delivery scope.

Frequently asked questions

When should store review preparation begin?

During product planning, especially for payments, accounts, permissions and regulated features.

What should reviewer notes contain?

Access credentials, navigation steps, hardware needs and an honest explanation of gated functionality.

Can screenshots be conceptual?

They should accurately represent the current product and supported experience.

What privacy items must align?

Runtime collection, SDK behavior, purpose disclosures, policy and deletion controls.

Should release happen immediately after approval?

Use manual or phased release when operational readiness benefits from control.

What should be tested in production?

Authentication, configuration, deep links, notifications, purchases, callbacks and critical APIs.

How should rejection be handled?

Map the cited rule to current behavior, correct evidence or implementation, and respond precisely.

What is the rollback for mobile?

Use server controls, feature flags and compatible APIs because installed binaries cannot be instantly removed.

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.