Delivery tracking: User behavior and content

Defines triggers, recipients, content, preferences, timing, accessibility, and user controls for delivery tracking. This reference fixes the adoption boundary, failure behavior, and observable evidence while leaving environment-specific limits configurable.

Package status: reference context ready for human review. The contract and test scenarios are complete, but no claim is made that an adopting implementation has passed them.

Decision

For Delivery tracking, adopt a durable notification intent identified independently of provider attempts. Define a deterministic user journey with visible state, reversible choices where possible, preserved input, and accessible recovery. This package is a reference contract: the adopting team must choose numeric limits, providers, jurisdictions, and operational owners from evidence in its own environment.

Scope

• The Delivery tracking actors, inputs, outputs, states, policy or schema versions, and externally visible outcomes described by this ux block.
• Primary and alternate interfaces, background work, caches, integrations, support paths, and evidence that can exercise the same boundary.
• Adoption-specific configuration, rollout, recovery, and verification responsibilities needed to apply the reference safely.

Outside this block

• Choosing a universal vendor, framework, jurisdiction, numeric threshold, retention period, or service-level objective for every adopter.
• Claiming that packaged scenarios have run against a downstream implementation or that this reference grants legal, security, or accessibility certification.

Contract

• Create one notification intent with recipient, purpose, template version, locale, schedule, sensitivity, and deduplication identity.
• Apply verified recipient state, channel preferences, quiet hours, and legal or product suppressions immediately before dispatch.
• Track queued, attempted, accepted, delivered where observable, failed, suppressed, and cancelled as distinct states.
• Bound retries per provider and preserve the same intent identity so a fallback channel cannot create duplicate user actions.
• Show progress only while work is actually pending and prevent duplicate activation without hiding the user's committed intent.
• Use plain, action-specific messages that distinguish validation, permission, connectivity, conflict, and terminal failure.
• Represent queued, accepted, dispatched, provider-accepted, delivered, delayed, bounced, rejected, opened, and unknown as distinct evidence-backed states rather than one delivered flag.
• Verify provider callbacks, deduplicate and order them by message identity, preserve raw status provenance, and define reconciliation when callbacks are late, missing, or contradictory.

Implementation guidance

• Prototype the longest, empty, slow, offline, denied, and assistive-technology paths before locking the happy-path layout.
• Model Delivery tracking inputs, outputs, actors, states, invariants, side effects, and evidence before selecting framework or vendor details.
• Store the applicable Delivery tracking contract or policy version with material state so migrations, replay, and support decisions remain attributable.
• Introduce the path behind controlled rollout, compare expected and observed outcomes, and keep a tested recovery route until adoption evidence is complete.

Failure handling and safeguards

• Permanent address or policy failures suppress further attempts; transient failures use bounded retry and then an operator-visible terminal state.
• Invalid or contradictory Delivery tracking state is rejected or quarantined; the implementation never guesses a value that broadens authority or duplicates an effect.
• Retries are bounded and use durable identity; after exhaustion, work reaches an inspectable terminal state with an accountable owner.

Verification and operations

• Complete the journey with keyboard, touch, screen reader, narrow viewport, delayed network, and a recoverable server error.
• Monitor Delivery tracking success, denial, validation failure, dependency failure, retry exhaustion, and recovery by contract version without sensitive payload dimensions.
• Re-run paired positive and negative fixtures after policy, schema, dependency, migration, or boundary changes and preserve the resulting evidence.

Adoption assumptions

• Names and values in the example are a concrete fixture, not universal defaults; adopters replace them through documented evidence and ownership.
• The adopting system can provide authenticated identity, durable operation or record versions, bounded telemetry, and a controlled path for change.

The executable-looking examples in this package are fixtures and acceptance contracts. Run the collection validator to check structure and metadata, then translate and execute the scenarios in the target repository before recording implementation evidence.