canvas
Consumer Experience Requirements Canvas
A requirements canvas for consumer experience and non-functional needs that should guide the later architecture and implementation-style decision.
Outcomes
- Technology-agnostic consumer and service requirements
- Experience and non-functional needs captured before design starts
- Architecture implications documented for implementation-style selection
How it works
- Capture consumer goals and usage context.
- Document availability, timeliness, volume, performance, data quality, and consistency expectations.
- Document security, privacy, onboarding, change, observability, support, and recovery expectations.
- Summarize what the requirements imply for possible implementation styles.
Work with this canvas
Use the purpose, outcomes, and instructions above as your static reference while capturing evidence in the interactive workspace.
Local canvas workspace
Consumer Experience Requirements Canvas
What experience and non-functional requirements do consumers need before deciding the best integration architecture? Use this as a technology-agnostic requirements table. Capture consumer expectations and constraints, then use the architecture implications to choose APIs, events, files, streams, data products, or another implementation style.
Active section: Consumer goals. Select a section with a pointer, or focus it and press Enter or Space.
Consumer goals
What are the consumer's business goals, workflow goals, decision goals, automation goals, or data usage goals?
Availability and timeliness
When must the capability be available, how fresh must information be, and what latency or delivery windows matter?
Volume and performance
What request, event, record, file, batch, user, or transaction volumes must the capability support now and later?
Data quality and consistency
What accuracy, completeness, consistency, ordering, deduplication, reconciliation, or validation expectations do consumers have?
Security, privacy, and compliance
What identity, authorization, confidentiality, residency, consent, retention, audit, or regulatory constraints apply?
Onboarding and access
How should consumers find, request, test, get approved for, and start using the capability?
Change and versioning
How much change tolerance do consumers have, and what notice, compatibility, migration, or versioning expectations apply?
Observability and support
What monitoring, status, traceability, data quality visibility, support, ownership, and incident communication do consumers need?
Recovery and continuity
What replay, retry, reconciliation, backup, fallback, continuity, or manual recovery expectations must be supported?
Architecture implications
What do these requirements imply for possible architecture styles, such as APIs, events, files, streams, data products, or direct integration?
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