A Power BI project should not begin with chart selection. It should begin with requirements that explain what decisions the dashboard supports and who is responsible for the numbers.
Define the operating question
Every dashboard needs a business question. Is the team monitoring sales pipeline, operational load, finance variance, customer behavior, or delivery risk? Without that question, the report becomes a collection of visuals.
The BI and semantic modeling service starts with this framing because it drives the model, metrics, and user experience.
Requirements reduce rework
Before implementation, define KPI formulas, data sources, refresh cadence, access rules, and review owners. This makes the first build slower in the right places and much faster later.
A dashboard requirements workshop checklist
A strong workshop should answer five questions. Who will use the dashboard? What decisions will it support? Which KPIs are essential? Which data sources are trusted? What action should a user take after reading it?
The team should also define non-visual requirements: refresh timing, security roles, export needs, mobile usage, accessibility, ownership, and how changes will be requested. These details shape the model and operating process as much as the visual layout.
Requirements should include acceptance criteria
Acceptance criteria protect the project from vague feedback. A dashboard is ready when the numbers reconcile to agreed sources, stakeholders approve KPI definitions, refreshes work, permissions are tested, and users can answer the intended business questions without extra explanation.
For Power BI projects, this also connects to semantic modeling. If a requirement says "show monthly recurring revenue," the model must define exactly what that means before the visual is built.
FAQ
What should be defined before building a Power BI dashboard? Define users, decisions, KPIs, formulas, data sources, refresh cadence, access rules, and dashboard ownership.
Why do dashboard projects get delayed? Most delays come from unclear definitions, changing scope, weak source data, and missing stakeholder agreement.
Should requirements include design examples? Yes, but examples should support the business question. Visual references are useful only after the team agrees what the dashboard needs to decide or monitor.
