How to Make Power BI Dashboard Interactive
A static dashboard is just a prettier version of a spreadsheet, but an interactive one is a powerful tool for exploration. Making your Power BI dashboards interactive allows your team to slice, dice, and drill into the data to find their own answers without needing to request a new report for every question. This article will walk you through the key techniques - from simple slicers to advanced bookmarks - to turn your static reports into dynamic, conversational dashboards.
Why Interactivity Is More Than Just a Cool Feature
Building interactivity into your dashboards isn't about adding bells and whistles, it's about fundamentally changing how people use and understand data. When users can engage directly with the visuals, they move from being passive consumers of information to active participants in the analysis.
An interactive dashboard empowers users to:
- Answer their own follow-up questions: Instead of asking "Can you rebuild this chart just for the North America region?", they can simply click on "North America" and see every visual update instantly.
- Discover hidden patterns: Interaction encourages exploration. A user might notice a sales spike in one product category and be able to immediately drill down to see which specific items drove that growth.
- Build trust in the data: When people can manipulate the data themselves and see how numbers are calculated and connected, they develop a deeper trust in the insights presented.
The goal is to create an experience that feels less like reading a fixed report and more like having a conversation with your data.
Start with the Basics: Slicers and Filters
The simplest way to add interactivity is by giving users control over what they see. In Power BI, slicers and filters are the primary tools for this job. Though they perform similar functions, they are used in different ways.
Using Slicers for On-Screen Filtering
A slicer is a visual element that lives directly on your report canvas, allowing users to easily filter the data on the page. Think of them as user-friendly buttons or menus for your dashboard.
Here’s how to add one:
- With your report page open, make sure no visuals are selected. In the Visualizations pane, click on the Slicer icon.
- An empty slicer will appear on your canvas. From the Data pane, drag a field into the slicer's "Field" well. Fields with a limited number of distinct options, like a product category, region, or a date range, work best.
- Customize the slicer. With the slicer selected, go to the Format visual section in the Visualizations pane. Under "Slicer settings," you can change its style from a list to a dropdown, a "Between" slider for numbers, or a date range for dates.
Pro Tip: Keep your dashboard clean by using a dropdown slicer for fields with many options (like "Customer Name"). This saves valuable screen space. You can also sync slicers across multiple pages so a user's selection on one page carries over to others, creating a seamless experience.
Applying Filters in the Filters Pane
The Filters pane is a more powerful, behind-the-scenes tool for filtering. While slicers are for users to interact with, the Filters pane is often used by the report creator to set up foundational rules for the data.
You can apply filters at three different levels:
- Filter on this visual: Affects only a single, selected visual.
- Filter on this page: Affects all visuals on the current page.
- Filter on all pages: Affects the entire report. Good for setting universal conditions, like excluding test data or focusing on a specific business year.
Use the Filters pane when you want to apply a filter that users shouldn’t necessarily change. For example, if your dashboard is specifically for the European sales team, you can set a page-level or report-level filter for the “Europe” region that remains active in the background.
Unleash the Power of Cross-Filtering and Cross-Highlighting
One of Power BI's most intuitive features is that visuals, by default, interact with each other. This is called cross-filtering or cross-highlighting, and it's a huge part of what makes a dashboard feel "alive."
Here’s how it works: Imagine you have a bar chart showing Revenue by Product Category and a map showing Revenue by State.
- When you click the "Clothing" bar in your chart, the map will instantly update. It might zoom in or highlight only the states where clothing was sold, showing you the geographic distribution for just that category.
This behavior is enabled by default. To take control of it, you can specifically define how visuals talk to each other:
- Select the visual you want to be the "source" filter (e.g., the bar chart).
- Go to the Format tab in the ribbon at the top.
- Click Edit interactions.
- Now, select another visual on your page. You’ll see small icons appear on its border. You can choose for it to be filtered, highlighted, or have no interaction at all when you engage with the source visual. This is perfect for fine-tuning your dashboard's behavior.
Go Deeper with Drillthrough and Drill Down
Sometimes, users need to click an element on a report to view details. Power BI offers two fantastic features for this: drill down for exploring within a chart and drillthrough for traveling between pages.
Creating Data Hierarchies for Drill Down
Drill down lets users navigate through levels of a data hierarchy from within a single visual. For example, from a yearly sales total, they could "drill down" to see the quarterly breakdown, then monthly, then daily.
First, you need to create a hierarchy in your data. In the Data pane, simply drag one field on top of another. For instance, drag "Month Name" onto "Quarter," and drag "Quarter" onto "Year" to create a standard date hierarchy. Power BI often does this automatically with date fields.
Once you use this hierarchy in a visual (like a bar or line chart), little arrows will appear in the visual's header, allowing users to drill down and up through the levels you defined.
Setting Up a Drillthrough Page for Detailed Analysis
Drillthrough is even more powerful. It lets you send users from a summary dashboard to a dedicated detail page, pre-filtered based on what they clicked.
For example, you could have an overview page with a table of salespeople and an action that allows stakeholders to jump to another report with their key performance metrics when their name is right-clicked.
Here’s how to set it up:
- Create your detail page. Design a separate report page dedicated to the details. For instance, a "Sales Rep Deep Dive" page.
- Designate it as a drillthrough page. On the detail page, drag the field you want to filter by (e.g., "Sales Rep Name") into the Drillthrough well at the bottom of the Visualizations pane. Power BI automatically adds a "back" button to the page.
- Drill through from the summary page. Go back to your main dashboard page. Now, when a user right-clicks on a sales rep's name in any visual, they will see a "Drillthrough" option that takes them directly to the "Sales Rep Deep Dive" page, which will be entirely filtered to show data for just that person.
Tell a Story with Bookmarks and Buttons
Bookmarks allow you to create a curated, guided experience. A bookmark captures a specific state of whatever page you’re viewing - including applied filters, slicer settings, and even the visibility of certain charts. By linking buttons to these bookmarks, you can build an interface that feels more like an app than a report.
How to Create and Use Bookmarks
Let’s say you want to let users toggle between a "Sales View" and a "Marketing Spend View" on the same page without creating two separate pages.
- From the top ribbon, click View and enable the Bookmarks pane and the Selection pane. The Selection pane lets you show/hide visuals.
- Arrange your page for the first view (e.g., make your sales chart visible and hide your marketing chart).
- In the Bookmarks pane, click Add and name it "Sales View".
- Now, reverse the visibility (hide the sales chart, show the marketing chart).
- Add another bookmark and name it "Marketing View".
Linking Buttons to Your Bookmarks
Now, let's connect an action to a button that navigates between pages or triggers any action at all - a filtered version of another report, contact information, etc.:
- Go to the Insert tab and add a Button to your canvas. Make two - one labeled "Show Sales" and the other "Show Marketing."
- Select the "Show Sales" button. In the Format pane, toggle on the Action option.
- Set the Type to "Bookmark" and the Bookmark to "Sales View".
- Repeat the process for the "Show Marketing" button, linking it to the "Marketing View" bookmark.
Now, your users can simply click these buttons to toggle between the two customized views you've created, offering a sophisticated and clean way to present different data stories.
 ,
Final Thoughts
By implementing slicers, cross-filtering, drillthroughs, and bookmarks, you transform a static report into a powerful analytical tool. These features invite your audience to explore, ask questions, and discover insights on their own, making data a much more accessible and valuable asset for your entire organization.
While Power BI is incredibly capable, we know that getting started and mastering all these features involves a steep learning curve. At Graphed, we’ve built a tool where that kind of interactivity is as simple as asking a question. Instead of configuring drillthrough pages or setting up bookmarks, you can just ask, "Show me last month's sales by sales rep, and then break down Sarah's performance by product." Our goal is to remove the technical steps, allowing you to connect your data and start discovering insights in seconds, all by using plain English.
Related Articles
How to Connect Facebook to Google Data Studio: The Complete Guide for 2026
Connecting Facebook Ads to Google Data Studio (now called Looker Studio) has become essential for digital marketers who want to create comprehensive, visually appealing reports that go beyond the basic analytics provided by Facebook's native Ads Manager. If you're struggling with fragmented reporting across multiple platforms or spending too much time manually exporting data, this guide will show you exactly how to streamline your Facebook advertising analytics.
Appsflyer vs Mixpanel: Complete 2026 Comparison Guide
The difference between AppsFlyer and Mixpanel isn't just about features—it's about understanding two fundamentally different approaches to data that can make or break your growth strategy. One tracks how users find you, the other reveals what they do once they arrive. Most companies need insights from both worlds, but knowing where to start can save you months of implementation headaches and thousands in wasted budget.
DashThis vs AgencyAnalytics: The Ultimate Comparison Guide for Marketing Agencies
When it comes to choosing the right marketing reporting platform, agencies often find themselves torn between two industry leaders: DashThis and AgencyAnalytics. Both platforms promise to streamline reporting, save time, and impress clients with stunning visualizations. But which one truly delivers on these promises?