Planning payments becomes reviewable only after its state, owner, and failure boundary are visible. In practice, the team needs to define authoritative amount, payment state, webhook verification, idempotency, fulfillment, refund, and reconciliation. Otherwise, client redirects and provider dashboards cannot replace a local order state model.
Scope: Payments
This scope covers authoritative amounts, provider events, payment states, idempotency, fulfillment triggers, refunds, disputes, and reconciliation. Checkout screens matter only where they communicate or recover that server-owned payment state.
Turn "done" into observable behavior: Payments
Acceptance criteria for payments should identify the actor, starting state, action, durable result, denied path, repeated action, and recovery evidence. The interface may report success while client redirects and provider dashboards cannot replace a local order state model. The criterion therefore has to compare visible feedback with the server-calculated commercial record and provider-confirmed state.
Cover the states that change the decision: Payments
Test ready, empty, invalid, denied, delayed, duplicate, partial, successful, and recovered states where they apply. Add a case in which the browser closes, a provider callback is delayed, or the customer repeats the action. Each case should say whether input is preserved, whether retry is safe, and which record a reviewer inspects. Avoid criteria such as "works" or "implemented" because two reviewers can interpret them differently.
Test authority, not visibility: Payments
The expected behavior must hold for an allowed actor, a denied actor, a revoked role, and a direct request that bypasses the normal interface. A denial should leave protected state unchanged and produce a useful audit record without exposing secrets. For payments, the accountable actor is the customer completing a commercial transaction.
Attach evidence to every important claim: Payments
Use amount calculations, signed callbacks, idempotency records, fulfillment state, and reconciliation output. Record the environment, configuration, and time range so another reviewer can reproduce the result. A passing test supports only the behavior it exercised; it does not prove every security, accessibility, performance, or operational claim. Monitor refund time as a release signal.
Decision map: Payments
- Webhook verification. Name the owner, authoritative record, expected state, and denial behavior for this part of payments.
- Idempotency. Document the normal transition, one interrupted transition, and the smallest safe recovery.
- Fulfillment. Attach a reproducible test, dated result, and reviewer who accepts the remaining risk.
- Refund. State the input, output, permission boundary, and removal condition before adding automation.
- Reconciliation. Record how repeated action behaves and which evidence distinguishes retry from duplication.
Boundary cases: Payments
- When the recorded value for webhook verification changes after idempotency is stored, name which value wins and how the losing state is reconciled.
- If evidence for fulfillment becomes unavailable while the payments request is in progress, preserve enough context to distinguish rejection from partial completion.
- A repeated action involving refund should return the existing result or expose the possible duplicate effect before retry.
- A denied change to reconciliation must leave authoritative state untouched and create an audit record that reveals no secret.
- Recovery should restore the smallest trustworthy state first, then verify the visible payments outcome against the maintained record.
Measure the decision, not activity: Payments
Track refund time and duplicate charge prevention. Before collecting results for payments, define each measure's population, environment, time window, and owner. Activity is useful only when it clarifies whether the protected payments outcome became safer or easier to recover.
Set the investigation threshold for payments in advance. The acceptance review should also name the permitted response, the evidence required to close the issue, and the next review date. Stop collecting payments data when it no longer distinguishes success, denial, delay, duplication, or recovery, or when it no longer changes a decision.
Sources and local proof: Payments
These primary references document platform behavior relevant to payments. For payments, those references establish terminology and constraints; they do not verify the local implementation.
Any publishable payments claim still needs dated local evidence: configuration, test output, screenshots, logs, queries, or recovery results from the named product. The acceptance review should say exactly which artifact supports each important claim.
A related InMyDraft example: Payments
InMyCompany provides a local example of an inspectable product boundary relevant to payments. Its project catalog records this implementation detail: Tax estimates are computed from the company's own configurable rates, clearly labelled as planning estimates rather than official filings, and surfaced on the dashboard and in reports.
The comparison between InMyCompany and payments is deliberately narrow. It shows how one product makes state and evidence visible; it does not prove that every payments recommendation has been implemented. Use the InMyCompany example to review payments, not as a substitute for testing the product in scope.
Review checklist: Payments
- Given a valid starting state, the customer completing a commercial transaction can complete the intended payments outcome.
- Invalid and unauthorized requests leave the server-calculated commercial record and provider-confirmed state unchanged.
- A repeated action does not duplicate a protected side effect.
- The team can demonstrate that it can repeat provider events and reconcile paid, failed, refunded, and disputed orders.
- Failure and recovery produce evidence another reviewer can reproduce.
A payment decision is ready for the next stage when another accountable person can reproduce the evidence, explain the failure boundary, and perform the recovery without relying on the original author's memory.
