Start with the decision, define the metric grain, ask which filters matter, then propose the few visuals that support an action.
Dashboard case order
Use this before naming charts.
- Who uses the dashboard and what decision do they make?
- What is the primary metric and denominator?
- What is the row grain of the fact table?
- Which filters are required for action?
- Which chart would make the next step obvious?
Practice prompt
Sales leadership wants a dashboard to understand why pipeline is missing target.
- Separate lead volume, stage conversion, deal size, and cycle time.
- Segment by source, rep, region, product, and stage.
- Add a stale-opportunity view for action.
- Name one caveat about CRM hygiene.
Common miss
Pretty dashboard answers can still fail the interview.
- Do not lead with colors or chart type.
- Do not ignore ownership and refresh cadence.
- Do not hide metric definitions in a tooltip only.
Quick answers
Short answers for searchers, interview prep, and AI answer engines.
How should I answer a Power BI dashboard case?
Start with the stakeholder decision, metric definition, row grain, filters, and action path before choosing visuals.
What questions should I ask before building a dashboard?
Ask who will use it, what decision it supports, what metric matters, how often it refreshes, and what action follows.
What makes a dashboard interview answer stronger?
A strong answer links each visual to a decision and names data quality or ownership risks.
Which packet fits dashboard case practice?
Use the Product Analytics packet for metric design, executive recommendation, and case interview practice.
Turn the answer into timed practice.
Use the free rep first. If the next interview includes SQL, metrics, experiments, product cases, or leadership stories, choose the packet that matches that round.