Data-heavy workflow brief
Shape a data-heavy workflow that remains understandable, traceable, and recoverable at its largest expected scale.
SaaS and dashboards · 45 min · Advanced · 26 questions
Data and rules
Which data sources are authoritative?
How many rows must the workflow handle?
How many fields must each record support?
Which relationships between records must remain visible?
How much data must one operation handle?
Validation and transformation
How will invalid data be handled?
Which source values need to be made consistent?
Which source values need mapping?
Which external data enriches the records?
Which values are calculated from other fields?
Selection
Which records will the operation affect?
What does Select all include?
How can users exclude records from the operation?
What happens if the matching records change during the operation?
Long-running jobs
How should a queued job appear?
How should results appear while they are still arriving?
How should partial results appear?
What remains after a job is cancelled?
Traceability
Which source value produced each output?
Which transformations must remain traceable?
Which data version produced each output?
Exports
Which export formats are required?
How many rows may an export contain?
Who may export data from this workflow?
Which sensitive fields must be excluded from exports?
When should an export expire?
How to use this brief
Use this brief as a bank of questions for the conversation. Choose what is relevant, mark covered questions as you go, and skip anything that has already been answered.
Use this brief when...
Use when you need to shape a data-heavy workflow that remains understandable, traceable, and recoverable at its largest expected scale.
Best used as: Live call · Async intake
- Category
- SaaS and dashboards
- Discussion time
- 45 minutes
- Depth
- Advanced
- Last updated
- Jul 21, 2026
- Scope
- Design briefs
- Best used as
- Live callAsync intake
- Design roles
- Product designer
- Audience
- Product designersUX and UI designersProduct managersDesign leads
- Platforms
- WebData platform
- Company type
- B2BEnterprise
- Product stage
- GrowthMature product
- Tags
- saas-and-dashboardsdata-heavy-workflowsystems-and-platformsbulk-data-operationdata-operations