Analytics experience brief
Design trustworthy analytics around a decision, its data limits, and a responsible next action.
SaaS and dashboards · 45 min · Advanced · 19 questions
Decision and meaning
Which decision should this analytics view support?
Who is responsible for that decision?
How often is the decision made?
What does each displayed metric mean?
Which calculation turns source data into each displayed metric?
Who owns the metric definition?
Comparison and confidence
Which baseline makes change meaningful?
Which segment must users be able to compare?
Where should the view show uncertainty?
Which sample limitation could change the interpretation?
How should stale data appear?
How should incomplete data appear?
How should the view show when its data was last updated?
Exploration
Which drill-down helps explain the result?
How will exploration preserve the user's context?
Access and responsible use
Who may view the data?
Which role is allowed to export data from this analytics view?
What legitimate action can the user take next?
How will the interface avoid implying unsupported causality?
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 design trustworthy analytics around a decision, its data limits, and a responsible next action.
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 designersDesign leadsFreelancers and consultants
- Platforms
- Cross-platform
- Company type
- StartupB2BB2CEnterprise
- Product stage
- Early-stageGrowthMature product
- Tags
- saas-and-dashboardsanalytics-experienceproduct-and-experienceanalytics-uxdecision-supportdata-trust