How to Design a Professional Power BI Report

You can already load, clean and chart data. Now it's time to bring it together into a report people actually use. The difference between a report opened every morning and one nobody looks at isn't technical skill; it's design: answering the right questions, in the right order, without noise.

Step 1: plan before you open Power BI

Spend 20 minutes with the people who'll use the report and answer these questions:

With those answers, sketch each page on paper (or a slide) before building anything. It saves hours of rework.

Step 2: the page structure

A practical rule: 5 to 7 visuals per page at most. If you need more, you probably have two different pages.

Step 3: the layout within a page

People scan a screen in a Z pattern: from top left to the right, then down. Use it:

┌──────────────────────────────────────────────────────────┐
│ Report title                  [Year ▼] [Region ▼] [Cat ▼]│  ← title and slicers
├────────────┬────────────┬────────────┬────────────────────┤
│ Sales      │ vs. target │ Margin %   │ Active customers   │  ← headline KPIs
├────────────┴────────────┴──────┬─────┴────────────────────┤
│ Monthly trend (line)           │ Sales by region (bars)   │  ← trend and comparison
├────────────────────────────────┴──────────────────────────┤
│ Matrix: product × month with conditional formatting       │  ← detail
└──────────────────────────────────────────────────────────┘

• Align visuals (Format › Align) and keep equal margins and spacing between them.
• Group related items visually with a subtle background or shape behind them.
• Most important at top left, details at the bottom.

The KPIs on Summit's Summary page

A KPI without a comparison is just a number. "2026 sales: $268,259" doesn't say whether that's good or bad; "$268,259, up 8.3% from 2025 and 97.4% of target" does. Using the course file, the 2026 summary page would look like this (you'll build the measures in Lessons 6 to 8):

Look at the story they tell together: sales are up 8.3%, but orders are up only 1.9%, so growth comes from bigger orders (average order value rose from $226.84 to $241.02). And even with that growth, Summit fell short of its target. That's the kind of conclusion a good summary page should trigger in 10 seconds.

Step 4: a consistent theme

Under View › Themes you choose a palette for the entire report. You can:

• Use a built-in theme or one from the theme gallery.
• Customize current theme: colors, fonts, background and visual styles.
• Import a theme file (JSON) with your brand colors so every company report looks the same.

Tips: one main brand color, grays for secondary elements, one accent color for whatever needs attention. Use a light background with dark text and strong contrast (think of someone viewing it on a projector or on a phone in the sun).

A theme file is plain JSON. Here's a starting point for Summit; save it as summit.json and import it from the View › Themes drop-down with Browse for themes:

{
  "name": "Summit",
  "dataColors": ["#2459D6", "#F97316", "#079455", "#6D3FD6", "#C2410C", "#667085"],
  "background": "#FFFFFF",
  "foreground": "#1B2A5B",
  "tableAccent": "#2459D6"
}

dataColors sets the order of series colors; foreground, the text color; tableAccent, the accent for tables and matrices. You can extend a theme with styles for each visual type, but these five properties are enough to make every company report look consistent.

Step 5: navigation

• Page navigator (Insert › Buttons › Navigator › Page navigator): creates buttons for every visible page automatically.
• Buttons with actions: a "See detail by region" button that jumps to another page.
• Hide helper pages (right-click the page tab › Hide page), such as detail pages that should only open from another page (Lesson 9).

Step 6: design for phones

In View › Mobile layout you arrange the report's visuals on a vertical canvas. Pick only the essentials (KPIs, one trend, one ranking) and stack them by priority. Anyone who opens the report in the Power BI mobile app sees that version.

Step 7: accessibility and clarity

• Alt text on every visual (Format › General › Alt text) for people who use screen readers.
• Don't rely on color alone: pair red and green with icons or signs (+/−).
• Font sizes large enough, and descriptive titles.
• A notes page (optional): where the data comes from, when it refreshes and how each metric is calculated.

Pre-launch checklist

• Every visual answers a user question.
• The numbers tie out to the source: I compared the total with the system or Excel (for Summit, $515,969.03 for 2025–2026).
• Titles are clear and units are readable.
• Interactions and filters behave as expected.
• It works on a phone.
• I tested it with a real user and asked them to tell me what they understood.

Common design mistakes

Users: AR manager and 3 collections specialists.
Decisions: who to call first, when to put a customer on credit hold.
Questions: How much are we owed and how much is past due?
  Which customers are more than 60 days past due? Is
  delinquency getting better or worse? Which specialist
  collects the most?
Frequency: daily. Device: laptop.

Pages:
  Summary: KPIs (total AR, % past due, DSO, collected this
    month), trend of % past due, AR by aging bucket
    (0-30, 31-60, 61-90, 90+ days) as stacked bars.
  Customers: customer × aging bucket matrix with conditional
    formatting and an export button for the call list.
  Specialists: collected vs. target by specialist.

Summary

• Plan with your users: decisions, questions, frequency and device.
• A summary page, detail pages and an action page; 5 to 7 visuals per page.
• Z layout: KPIs on top, trend and comparison in the middle, detail at the bottom.
• A consistent theme, button navigation, a mobile layout and accessibility.
• Make sure the numbers tie out and test with a real user.
• Every KPI needs a comparison: Summit's 2026 sales grew 8.3% but reached only 97.4% of target.

You've completed the Beginner level!

Next lesson: Data Modeling and Relationships: The Star Schema. The Intermediate level starts with the heart of Power BI: how to relate tables so every number adds up.