Reports and Dashboards
Written By: Sajagan Thirugnanam
Last Updated on September 23, 2026
Dashboard layout is the order you place charts on the page, arranged so a reader sees the most important number first. Getting dashboard layout design right means fixing a dashboard size, a reading order, and a consistent format before you place a single visual, not after.
This post covers the size, layout and formatting decisions: dashboard type, page size, reading order, chart type, color theme and alignment. For the process of deciding what goes on the dashboard in the first place, the audience and the business question behind it, see our companion post on how to create a dashboard.
Dashboard Type Decides the Layout
Dashboards are exploratory or explanatory, and this decision comes before layout.
Exploratory dashboards give the reader filters, slicers, drill-down, and cross-filtering between charts, so they can find their own answers in the data.
Explanatory dashboards show a fixed, pre-filtered view built to walk a specific audience through a specific story, usually with few or no filters.
An exploratory dashboard needs layout space for filters and controls, usually along one edge of the page so the reader always knows where to find them. An explanatory dashboard needs layout space for a clear reading order, since there's no filtering to fall back on if the order is confusing; every chart has to earn its place because the reader can't filter away the ones that don't apply to them.
Most real dashboards sit somewhere between the two, with a small set of high-value filters on an otherwise explanatory page. Decide the mix deliberately, based on the audience question from the dashboard creation process, rather than adding filters by default because they're available.
Dashboard Size and Layout
Pick the dashboard size before the layout, because layout decisions (how many charts fit per row, how much white space you have) depend on it.
In Power BI, page size lives in the Format pane's Canvas settings. Select nothing on the canvas, and the Visualizations pane shows Format page options; expand Canvas settings to set the Type (aspect ratio) and Size (exact pixel dimensions):
Type | What it is |
|---|---|
16:9 (default) | Widescreen, the standard for most reports |
4:3 | Standard, older aspect ratio |
Letter | Letter page dimensions, for print or PDF export |
Tooltip | Sized for tooltip pages |
Custom | Any height and width in pixels |
For a 16:9 page, the Size dropdown offers common screen dimensions: 1280 x 720 (HD, the default), 1920 x 1080 (Full HD), 2560 x 1440 (QHD), and 3840 x 2160 (4K UHD). Pick the size that matches where the dashboard will actually be viewed. A dashboard mostly viewed on a laptop doesn't need 4K dimensions; one built for a wall-mounted display might.
Once the size is fixed, decide the layout using how people read: most viewers scan from top left, across, then down. Put the most important numbers top left, and the least important charts bottom right.

A standard-form dashboard sized to fit one screen, so every chart is visible at a glance.
Common Dashboard Layouts
Three layout patterns cover most business dashboards in practice:

A four-corner grid layout. Simple to read, and each quadrant is a clear group.

A layout built around charts read vertically, with filters kept on one side for consistency.

A scorecard row across the top, common in performance-monitoring dashboards, with the detail charts below it.
A good layout, whichever pattern you use, keeps the reading order clear and avoids clutter.
Keep the Page Readable at Different Zoom Levels
Power BI's page view settings control how the report fits the browser or app window the reader actually sees:
Fit to page (default): scales the whole page to fit the window.
Fit to width: scales to fit the width, so a tall page may need scrolling.
Actual size: shows the page at full size, useful for checking exact pixel layout.
Test the layout at more than one of these, since a layout that looks fine at Fit to page can crowd or crop at Actual size on a smaller monitor.
Align and Lock the Layout Once It's Set
A layout only stays consistent if the objects on the page actually line up. Power BI's Page view settings include four tools for this, all in the View tab:
Show gridlines to see alignment guides while you place objects.
Snap to grid, used with gridlines, to align and size objects precisely.
Lock objects, once the layout is final, so nothing gets nudged out of place by accident during later edits.
Selection pane, which lists every object on the canvas so you can show or hide individual visuals without hunting for them on a crowded page.
Turn gridlines and snap-to-grid on while you're placing charts, and turn lock objects on once the layout is approved. This is the difference between a dashboard that stays aligned after six months of small edits and one that visibly drifts.
Dashboard Formatting
Formatting is what makes a dashboard look like one coherent thing instead of several unrelated charts. Keep these consistent across every page:
Fonts
Background shade
Chart types used for similar data
Color theme
Choose the Right Chart Type
The chart type should match the data, not personal preference. A time series is usually a line chart. A part-to-whole split, such as customers by gender, is usually a pie chart or a stacked bar.

Chart type matched to data shape: a trend as a line, a split as a pie.
Common chart categories:
Comparison charts, such as bar and line charts.
Composition charts, such as stacked area and pie charts.
Distribution charts, such as histograms and scatter plots.
Use a Consistent Color Theme
If your organization has a brand color theme, use it, including fonts and graphics, and keep it consistent across every chart and every tab. A dashboard with clashing, high-contrast colors is harder to read even when the underlying structure is sound.
In Power BI, this is a report theme: a JSON file that sets colors, default visual formatting, fonts, and page background across the whole report at once, instead of formatting every visual by hand. Apply one from the View ribbon's Themes dropdown, where you can pick a built-in theme, customize the current theme, or import a JSON theme file your organization already uses. Once a theme is applied, new visuals pick up its colors automatically, and changing the theme later updates every visual that still uses theme colors rather than a manually picked one.

The same structure, before a consistent color theme.

After a consistent color theme. The structure hasn't changed; only the colors have.
Whitespace and Visual Density
Layout is as much about what you leave off the page as what you put on it. A page with charts touching edge to edge reads as noise even if every chart is individually well designed. Leave consistent margins around the page and consistent gaps between charts, and resist the request to "just fit one more chart in" on an already full page. If a new metric matters enough to add, something else on the page usually needs to come off, move to a drill-through page, or move to a second page entirely.
Interactivity and User Experience
Interactive elements decide how much work the reader has to do to get an answer:
Filters and slicers narrow the data to the segment the reader cares about.
Tooltips add detail on hover without adding permanent clutter to the page.
Responsive design keeps the dashboard usable across laptop, tablet and phone screens.
In Power BI, how one visual affects another when a reader clicks it is also a layout decision, not just a technical default. Select Format > Edit interactions in Power BI Desktop to set whether clicking a value in one visual filters, highlights, or has no effect on another. A dashboard where every visual cross-filters every other one can be more confusing than helpful; decide interaction by interaction which behavior actually serves the reading order you designed.
A dashboard that's easy to interact with tends to get used more, because readers can answer their own follow-up questions instead of requesting a new version. For the process of deciding which metrics and interactions belong on the dashboard in the first place, see how to create a dashboard.
Layout and Formatting Checklist
Before publishing, confirm:
The dashboard type (exploratory or explanatory) matches how the audience will actually use it.
The page size matches where it will be viewed, not a default left unchanged.
The most important number is placed top left, with less important charts lower and to the right.
Chart types match the shape of the data they show, not habit.
One color theme is applied across every page, not formatted visual by visual.
Objects are aligned to a grid and locked once the layout is final.
Margins and gaps between charts are consistent, and nothing was squeezed in to fit.
Interactions between visuals were set deliberately, not left on every default.
The layout was checked at more than one page view setting, and on mobile if the audience will use it there.
FAQs
What are the essential elements of a good dashboard?
Key performance indicators, clear and concise data visualizations, real-time or regularly refreshed data, interactive elements such as filters and drill-downs where the audience needs them, and a design tailored to that specific audience. Context (a comparison, target or benchmark next to each number) matters as much as the visual itself.
What are the 3 main purposes of a dashboard?
Monitoring, measuring, and analyzing data in key areas. A dashboard takes raw data from one or more sources and presents it in a form tailored to what the viewer needs to see, at a glance or in more depth depending on the audience.
How can I gather feedback to improve my dashboard?
Ask the people who use it, through short surveys, direct conversation, or watching them use it. Watching someone click through it themselves usually surfaces layout problems a survey misses, such as a filter they never notice or a chart they scroll past without reading. Feed what you learn back into layout and metric changes rather than treating the first published version as final; a dashboard that never changes after launch usually stops matching what its audience actually needs.
What size should a Power BI dashboard be?
Power BI's default page size is 16:9 at 1280 x 720 pixels. You can change the aspect ratio to 4:3, Letter, Tooltip or Custom, and the size to 1920 x 1080, 2560 x 1440, or 3840 x 2160, under Canvas settings in the Format pane. Match the size to where the dashboard is actually viewed.
Sources
Apply page size and settings in a Power BI report - Microsoft Learn
Use report themes in Power BI - Microsoft Learn
Change how visuals interact in a report - Microsoft Learn
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