1. Understand the Audience’s Needs

Before jumping into the dashboard creation process, it’s essential to understand your target audience. Non-technical audiences are typically more interested in high-level insights rather than granular data points. Identify the key metrics that matter to them—for example, sales pipeline, customer satisfaction, or operational efficiency.

The goal is to minimize complexity while providing actionable insights. Focus on core metrics to avoid overwhelming your audience with unnecessary data and keep their attention on what’s most important to them.

2. Start with a Clear Layout

The design and layout of your dashboard should be simple and intuitive.

Use these best practices to create a dashboard that’s easy to navigate:

Less is More

Are they executives who need high-level KPIs?

Use Visual Hierarchy

Place the most important metrics or KPIs (Key Performance Indicators) at the top of the dashboard.

Consistent Design

Maintain a consistent design throughout the layout, with uniform fonts, colors, and chart types to avoid confusion.

3. Choose the Right Visualizations

Non-technical viewers often find it easier to understand data when it’s presented in simple visual formats.

Power BI offers a wide range of visualization options, but the key is to pick the right ones:

Bar and Line Charts

Ideal for showing trends and comparisons over time.

Pie Charts and Donut Charts

Great for illustrating proportions or parts of a whole.

KPIs

Use KPI indicators to show quick, at-a-glance insights like sales growth or target achievement.

Card Visuals

Perfect for displaying key figures such as total revenue, customer count, or product sales.

4. Incorporate Filters and Slicers

One of Power BI’s most powerful features is the ability to interact with data using slicers and filters, which allow viewers to manipulate the dashboard and focus on specific data points. The platform offers several types of filters.

Here’s how to make them work for a non-technical audience:

Slicers: Add slicers that allow viewers to filter data by time, product category, or geography with a simple click.

Drill-through Pages: Enable drill-through functionality for viewers who may want to explore certain elements more deeply, but only when necessary.

Tooltips: Use tooltips to provide additional context without overwhelming viewers with too much information on the dashboard from the get-go.

5. Leverage Automated Data Alerts and Subscriptions

Help your non-technical audience stay up-to-date on analytics reporting by automating insights. Power BI allows users to set up data alerts and email subscriptions so they don’t have to constantly check the Power BI dashboards. These features ensure that viewers receive notifications whenever data crosses a predefined threshold or if new reports are published. This way, non-technical audiences can stay informed and react to changes quickly without having to actively check the dashboard.

Leverage Automated Data Alerts and Subscriptions

Automated alerts and subscriptions can also be tailored to specific user roles or groups, so that only relevant information is shared with each individual.

6. Provide Easy-to-Understand Explanations

To make dashboards truly user-friendly, provide easy-to-understand descriptions or titles for each visualization. Avoid jargon and technical language; instead, describe the visuals in everyday terms that resonate with your audience. For example:

Instead of “Sales Variance vs Budget by Region,” use “How our sales compare to our budget in different regions.

Instead of “Revenue Trend Analysis,” use “How our revenue has changed over time.

Use captions or descriptions when necessary to clarify what the visualizations represent and why they are important.

These simple changes can make a big difference in helping non-technical audiences understand the data and its implications.

7. Ensure Mobile Accessibility

Many non-technical viewers will access dashboards via their smartphones or tablets, given the pace of work today. Power BI offers built-in mobile optimization, ensuring dashboards are responsive and readable on smaller screens. 

Keep mobile accessibility in mind during the design process. Ensuring that key metrics and filters are easy to access on mobile devices. Consider creating separate mobile-specific dashboards, with fewer visualizations and a simplified layout for ease of use. 

8. Test for Simplicity

Once the dashboard is created, it’s important to test it with your target audience. Ask a few non-technical colleagues to explore the dashboard and provide feedback on its usability. 

Ensure that all interactions (such as filters, slicers, and drill throughs) work smoothly and that the key takeaways are clear without requiring additional explanation. 

Consider the feedback that you get from your colleagues and simplify the design as needed to make it easy for non-technical audiences to navigate and understand. 

Conclusion: Empower Non-Technical Audiences with Power BI

By focusing on simplicity, usability, and accessibility, you can create dynamic Power BI dashboards that empower non-technical audiences to make data-driven decisions. The key is to remove the technical complexity while maintaining the ability to dive deep into the data when needed. When done right, Power BI dashboards can become an invaluable tool for everyone in the organization, regardless of their technical expertise.

With the right approach, you can use Power BI to bridge the gap between data and actionable insights for all users, and help to foster a culture of informed decision-making across your team.