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SaaS dashboards are the main interface inside SaaS products. They help users find out the core metrics from large amounts of data so they can make informed decisions.
A good SaaS dashboard design helps the users easily get an idea on what's happening, and what they should do next. A poorly designed dashboard can overwhelm the user with too much information and makes it harder for them to make a decision.
In this guide, we’ll show you how to design SaaS dashboards that users enjoy using and also show you some common mistakes that can make the dashboard difficult to use.
What is a SaaS Dashboard?
SaaS dashboards are different from traditional dashboards. The traditional dashboards show common metrics in a static format, where users can only view the information. But SaaS dashboards are designed to be interactive in use.
This means users can easily interact with the dashboard. Interaction can be anything from clicking charts to explore data, filtering specific data for a segment, or changing the timeframe to analyze trends. These interactions help the users to interact with the data in different angles and understand how the system works from different perspectives.
SaaS dashboards are thought of as the main screen when the user monitors performance and activity in the product. The dashboard provides an overview of what’s happening in the system, highlights the important metrics and guides users on what steps they may take next.
And by presenting the key information clearly, it allows users to explore data, and help teams understand how the system is performing, and identify what needs attention.
What Users Actually Do Inside SaaS Dashboards?
To understand what users do inside SaaS dashboards, you have to understand the people that use them. So, who are the people that use the SaaS dashboards? People form different roles that need to monitor performance and make decisions.
Each role uses the dashboard differently according to their goals. For example, a founder might use the dashboard to find revenue, product performance and churn rate, whereas a sales team might use the dashboard to track pipeline, deals, and revenue performance.
Even though different teams use dashboards in different ways, the main purpose of the dashboard remains the same. The dashboards represent the most important information that helps the users to quickly understand what’s happening, and make decisions about what to do next - based on that.
The Components of SaaS Dashboard Interface
Before designing a dashboard, it’s important to understand the components that will make up a SaaS dashboard interface, and how they are used. By understanding the components, and their uses, you can analyze, and design layouts more confidently.
Most SaaS dashboards follow a similar structure. Once you recognize these common components and how they work together, it will become easier to understand and design dashboard interfaces.
1. Sidebar Navigation
When you open most SaaS tools, you will usually notice a vertical menu on the left side of the screen. This element is called the sidebar navigation. It’s one of the most important parts of the SaaS product, because it keeps the entire product organized.
The SaaS products usually contain many types of tools and pages. For example, marketing tools can include:
- campaign analysis
- customer management
- automation workflows
- Reports
- integrations
If you place all these features in one screen, the interface would become overwhelming for the users. The sidebar solves this problem by creating clear navigation layers that users can move through the sections of the product without getting lost.
2. Top Navigation
When you open SaaS products, you’ll notice a horizontal bar at the very top of the interface. This bar is called the top navigation bar, or simply the top bar.
While the sidebar helps move users between sections of the product, the top navigation bar manages the global actions and utilities. This area works like a control panel that includes system level tools like:
- search
- notifications
- help or support
- user profile settings
These tools are available throughout the entire product. If the sidebar works as the map of the product, the top bar acts as the control panel for system-level actions.
3. Metric Cards
Metric cards are small UI blocks that contain a row of numbers inside them. These cards represent the most important performance indicators for the product. So, users can get an instant idea of what’s happening and what needs to change or be worked on.
Dashboards usually generate and contain large amounts of data. Without a quick overview, it’s easy for users to get overwhelmed by too many charts and elements. The metric card system solves this problem by providing a high-level overview of the system. So users can easily see growth, decline, unusual spikes, and performance changes.
Here’s an example of a metric card system sitting at the top of the dashboard:
4. Charts
Metric cards tell us what the current numbers are. Charts help users understand how numbers change over time or across different categories. This is why charts are one of the most crucial parts of dashboard interfaces.
They turn raw data into something that the human brain can easily understand. The most common reasons users use charts are to:
- Monitor performance
- Detect problems
- Compare results
- Track trends
5. Data Tables
Data tables show the actual records behind the data. Unlike charts or metric cards, users get a complete view of the data that they can analyze and work with.
Data tables usually represent data in rows and columns. Rows represent individual records, while columns represent different attributes of the data. Here’s an example of how data is shown in a table:
There are many common reasons users interact with these data tables. Some common tasks include:
- Reviewing customer records
- Checking transactions
- Viewing campaign performance
- Managing support tickets
6. Filters
Dashboards often contain large amounts of data, and users may struggle to find what they actually need. That’s what the filter component solves. Filters allow users to narrow down the dataset so they only see the information that matters to them.
A filter option might look like this in a dashboard:
When users apply filters, the dashboard updates and the charts show only the data that matches the selected filters. This is helpful because it reduces the cognitive load of searching through large amounts of information. It also helps users quickly isolate the specific data they need.
3 Types of SaaS Dashboards
Different types of dashboards are used for different purposes. Some are used for overviewing daily operations, while others help users track business performance.
If all dashboards tried to do everything at once, it would be overwhelming for users. That’s why we’ve listed 3 different types of dashboards and their specific goals:
Operational Dashboards
Operational dashboards are daily operational tools that focus on day-to-day operations: what’s happening right now and what’s going to happen next. They provide real-time, day-to-day data for teams to manage daily workflows.
An example of an operational dashboard can be a customer support platform. There, teams manage open tickets, response times, and active conversations on a regular basis. That’s how a typical day-to-day operational dashboard works.
The common things that operational dashboards show are:
- Real-time metrics
- Live chats
- Recent activity logs
- Status indicators
The main focus of operational dashboards is fast awareness of the system rather than deep analysis.
Analytical Dashboards
While operational dashboards focus on what’s happening at the system level, analytical dashboards focus on understanding why something happened. The main goal of analytical dashboards is to explore data and discover insights.
They go into deeper investigations, where users analyze trends, compare segments, and study patterns in the data. Their goal is not to provide quick monitoring, but to support deeper data exploration and analysis.
Analytical dashboards are commonly seen in SaaS products that work with data analysis and performance tracking. Inside these dashboards, you can find things like:
- Charts comparing trends
- Filters for narrowing datasets
- Segmentation tools
- Comparison views
Overall, these dashboards help users interact with the data and explore it from different angles to understand why things happen.
Strategic Dashboards
Strategic dashboards are used for tracking long-term performances. The previous two types of dashboards operational and analytical - help monitor trends, or pattern, but strategic dashboards focus on high-level progress toward the business goals.
These types of dashboards are typically used by executives, managers and decision-makers who want a clear overview of how the business is performing. Their goal is to help users get an idea of the whole picture. The dashboards usually include common element like:
- KPI metric cards
- long-term trend charts
- performance targets or benchmarks
- progress indicators
The 7 Principles of SaaS Dashboard Design
Once you understand the common components and types of dashboards, the next step is to understand how to design them well.
A dashboard is not just a collection of charts and tables. It’s a decision-making environment where users track and monitor performance to take action. Here are the 7 principles of effective dashboard design:
1. Maintain a Clear Visual Hierarchy
Organizing elements so users know where to look first, second, and third.
Maintaining a clear visual hierarchy is one of the most important practices for designing SaaS dashboards. In SaaS dashboards, there is already a large amount of data present, and if you don’t maintain a clear hierarchy, users may get confused about which data they should focus on and what to ignore.
Here’s an example of using the same size for every element on a dashboard:
- Revenue $48,200
- New Users 1,240
- Conversion Rate 4.2%
- Daily Sessions 9,800
- Traffic Sources Chart
- User Activity Chart
- Customer Table
Here, it becomes harder for users to understand which elements are more important and where they should focus first. That’s why maintaining a clear visual hierarchy is important when designing dashboards.
One simple way to think about this is the structure used in newspapers. Newspapers usually present a large headline first, followed by important information, and then the detailed description.
By following a similar visual hierarchy, you can help users understand the information quickly without confusion.
2. Design for Fast Scanning
When a user comes to a dashboard, their goal is not to read the entire dashboard from start to finish. They simply want to find the information they are looking for.
That’s why they don’t read the dashboard entirely; they scan. Scanning means going through numbers, charts, and labels to find the signals they are looking for.
To make your dashboard easy to understand, you have to make it scannable. A scannable design means users can:
- Look at the top of the screen first
- Focus on large numbers and elements
- Move from left to right across sections
- Jump between charts and highlights
So the dashboard should present information in a way that aligns with normal human behavior.
3. Reveal Information Progressively
Dashboards contain large amounts of data, and if everything is revealed at once, the screen becomes visually crowded. Users struggle to find important signals, and as a result, analysis becomes slower.
Revealing information progressively solves this problem. This method divides information into layers. These layers include:
- Overview - metric cards that show key performance indicators
- Explanation - charts help users understand patterns and changes
- Investigation - tables provide detailed data for deeper analysis
Revealing data layer by layer helps users see the most important information first. It then allows users to access deeper details when they need them. This approach helps organize the content and keeps the dashboard visually clear and structured.
4. Use Clear and Meaningful Data Visualizations
Dashboards rely heavily on charts and graphs to communicate information to users. But simply adding charts does not automatically make the data easier to understand.
A good data visualization helps users see patterns, identify trends, and compare different datasets. If a chart is confusing or overly decorative, it will slow users down instead of helping them.
That’s why dashboards should present data in a way that clearly explains what the data is about and highlights the important insights within the content.
Ask yourself: Does this chart help users understand the data faster?
If it helps users make decisions, keep it. Otherwise, remove it to keep the interface clean and usable.
5. Turn Data into Actionable Insights
Dashboards should not only display numbers; they should also help users understand what to do next. Users open dashboards not just to check metrics, but to make decisions. The easier it is to take action, the better the user experience will be.
Imagine this metric:
Conversion rate: 3.2%
Is it good or bad?
Without context, it’s difficult to make a decision. So the dashboard should provide information that gives the number meaning. For example:
Conversion rate: 3.2%
1.1% lower compared to last week
This immediately gives users important context: conversions are dropping.
This is the type of approach dashboards should follow when presenting data. The information should not only be informative, but also actionable.
6. Provide Context for Every Metric
If a user sees a metric without understanding what it means to them, then the metric is not usable. That’s why a metric should include context that explains what the number means.
For example, instead of adding this to the dashboard:
Monthly Revenue
$42,000
You can add context with the metric, for example:
Monthly Revenue
$42,000
+12% compared to last month
After this, users immediately understand that the revenue is increasing, so it’s a positive sign.
7. Keep the Dashboard Focused and Simple
Keeping the dashboard focused and simple means the dashboard should only show the information that users need to understand and focus on.
When a dashboard includes too many metrics, charts, and controls, it becomes harder to scan. Instead, it ends up confusing users instead of helping them.
That’s why a focused dashboard prioritizes the things that matter most, while keeping other information accessible in deeper pages or reports.
SaaS Dashboard Design Mistakes to Avoid
Even a well-designed SaaS product can sometimes struggle with usability. The problem is usually not the data itself, but the design.
If dashboards try to include all the information on a single screen, they often end up overwhelming users instead of helping them understand the data. Here are the most common design mistakes people make when designing dashboards:
Too Many Metrics
This is the most common mistake when designing a SaaS dashboard. When every available number appears on the dashboard, it eventually overwhelms users, and they become confused about identifying what actually matters.
Instead of adding all the numbers, focus on metrics that support the user’s main goal. Secondary metrics can appear in deeper reports or pages beyond the main dashboard.
Cluttered Layout
When charts, cards, filters, and tables compete with each other for space, the dashboard becomes visually overwhelming. Users may feel stressed because there is no breathing space between elements. A good design uses spacing, grouping, and visual hierarchy to organize information clearly for users.
Confusing Charts
Charts are meant to make data simpler and easier to understand. But when too much data is added to charts, they become crowded and difficult to read. Common problems with charts include:
- overly complex charts
- unclear labels
- too many data series in a single chart
- chart types that do not match the data
When users cannot immediately understand a chart, it becomes harder for them to analyze the information. They may spend extra time trying to understand what the chart is showing.
No Clear Actions
Some dashboards show metrics but fail to guide users toward the next action. A user might read the data presented on the dashboard, but what happens next? What should they do after reading the data?
Users should be able to make decisions based on the information and take action accordingly. If users notice a performance change, the interface should help them explore the cause or navigate to relevant tools.
Without this connection, dashboards become passive reports that do not help users make specific decisions.
Lack of Context
Numbers alone cannot express meaning. A metric like “Revenue: $42,000” does not tell users whether performance is improving or declining. Dashboards should provide context through comparisons. For example, they can show:
- change from the previous period
- performance against targets
- historical trends
This additional information helps users clearly understand what the metric means and interpret the data correctly.
Using Inconsistent Layouts
When dashboards change layouts frequently across pages, users must constantly reorient themselves.
For example, if dashboards place charts, labels, and datasets in different positions across pages, it becomes difficult for users to understand and trust the information.
Real SaaS Dashboard Design Examples
We discussed the principles and what to include in dashboard design. Here are some real-life examples that show how these SaaS dashboard best practices are applied.
Stripe Dashboard
Stripe’s dashboard focuses on clarity and financial data. It provides a clear understanding of how the system works and what users are looking for.
The design focuses on understanding how users interact with the system and presenting financial information in a clear and organized way. This helps users quickly understand payments, revenue, and activity within the platform.
Because of this approach, Stripe has created a dashboard that is usable for different types of users who rely on financial data. This shows how SaaS dashboards can be designed with functional features that help users understand and act on information effectively.
Shopify Dashboard
Shopify’s dashboard helps store owners monitor store performance and sales activity, because that is the main thing their users look for. The dashboard highlights key metrics like total sales, orders, and visitor activity.
The charts show important insights such as sales performance across different time periods and changes in demand. This helps users understand what is working and what is not, and take suitable actions based on that information.
HubSpot Dashboard
HubSpot’s main focus is on marketing, sales, and customer management. To support this, the platform provides flexible widgets that allow users to customize their dashboards by adding different reports and charts.
This allows teams to tailor dashboards to their workflows. They also provide filters that allow users to analyze metrics by campaign, channel, or timeframe.
SaaS Dashboard Design Guide (Step by Step)
Designing a SaaS dashboard isn’t just about adding random charts and screens. A good dashboard starts with understanding what users want and how they make decisions. Here is a step-by-step process you can follow:
Step 1. Understand What Users Want to Monitor
The first step in designing a dashboard is understanding why users open it. You need to ask a set of questions, such as:
- What information do they check most often?
What problems are they trying to solve? - What decisions will they make based on this information?
Understanding these questions helps you design a dashboard that supports real users, understands their needs, and provides the right insights.
Step 2. Identify the Most Important Metrics
Once you understand what users want to monitor, the next step is choosing the key metrics that answer those needs. Dashboards should highlight the metrics that matter most.
Step 3. Organize the Dashboard Layout
After that, you need to organize the dashboard layout. A good layout should not only support the functionality of the dashboard but also help users quickly find the information they need to complete their tasks.
Step 4. Design Charts & Components
Now you can design the visual parts of the dashboard. This includes common elements such as metric cards, charts and graphs, data tables, filters, and controls.
At this stage, you can apply the design principles discussed earlier, focusing on the elements that help present information clearly and effectively.
Try to organize these components in a way that supports the overall structure of the dashboard and makes the content easier for users to understand.
Step 5. Test the Dashboard with Real Users
Finally, test the dashboard with real users. This helps you understand how people interact with the dashboard and whether they can easily find the information they need.
Testing may include observing how users navigate the dashboard, identifying areas where they struggle, and gathering feedback about the layout and information presented.
This process helps you better understand how the dashboard works in real situations and allows you to improve the design accordingly.
SaaS Dashboard Design Trends in 2026
In the past, SaaS dashboards were mainly designed to represent data. But things have changed. Today, dashboards are moving toward helping users understand and act on data. As a result, current trends focus on three main ideas:
- Less manual analysis
- More automation
- More flexibility for users
This shift is why new patterns and styles are emerging in SaaS dashboard design. Here are some of the top emerging design trends right now and why they are becoming popular.
AI-Powered Insights
Traditionally, dashboards showed numbers or charts that represent data. AI-powered insights do not just show data; they analyze it, compare it with past results, and provide better context so users do not have to manually interpret the information.
For example, a traditional dashboard might show:
Revenue: $42,000
An AI-powered assistant might also show:
Revenue increased 12% this week,
mainly driven by paid campaigns.
Popular SaaS products like Notion, HubSpot, and Stripe are moving in this direction with AI-powered dashboards.
Customizable Dashboards
A dashboard is used by different teams to manage their tasks, so naturally one dashboard does not fit everyone. That is why many SaaS products are moving toward customizable dashboards.
Instead of showing one single dashboard to every team, users can customize the dashboard according to their needs. For example, marketers might analyze campaign performance, product managers might study user behavior, and executives might want an overview of high-level business performance.
No matter the role, customizable dashboards allow users to personalize their workspace and focus on the information that matters most.
Real Time Analytics
Real-time analytics means you get live updates on what is happening in the system. This can include things like tracking sales, detecting server issues, or monitoring live users. Previously, dashboards often had delayed update cycles.
That means users had to wait for a certain period of time to receive updated results. For example:
Yesterday’s sales report
Updated every 24 hours
This means users receive delayed reports about what is happening in the system. However, some situations require immediate attention, such as a server error or a functionality problem.
In these cases, real-time dashboards provide live updates so teams can quickly detect issues and respond immediately.
Final Thoughts
SaaS dashboards are not just interfaces where you place different types of charts and diagrams. They are interfaces that help users monitor and filter what’s happening and determine what actions they need to take.
If you put too many metrics on the dashboard, it becomes cluttered and harder to make decisions. If you include too few, it lacks context. The right balance lies in the middle, where users can complete their tasks as quickly and smoothly as possible.
Following design principles like progressive disclosure, clear visualization, and actionable insights helps maintain this balance and creates a better experience for users.
Frequently Asked Questions
How is a SaaS dashboard different from a traditional dashboard?
A SaaS dashboard is built for software products used by many organizations, and teams. Unlike traditional dashboards, they support multiple users, customizable layouts, and real-time data updates.
Who typically uses SaaS dashboards?
SaaS dashboards can be used by different roles depending on the product. The common uses include executives, product managers, marketers, operations teams, and analysts.
What tools are used to design SaaS dashboards?
Designers typically use Figma, Sketch, or Adobe XD to create SaaS dashboard layouts and prototypes. For data visualization and analytics, teams rely on tools like Tableau, Power BI, Looker, or Google Data Studio, while developers often use chart libraries such as Chart.js, D3.js, or Recharts to implement dashboards directly inside SaaS products.
Should SaaS dashboards be customizable for different users?
Yes, customizable dashboards allow the users to prioritize metrics that matter to their role. They improve usability by letting the users modify charts, widgets and reports according to their needs.
What is the difference between dashboards and reports?
Dashboards provide a quick overview of key metrics and trends, while reports offer deeper analysis and detailed information.
What should an onboarding SaaS dashboard include?
An onboarding SaaS dashboard should focus on activation, not analytics. It usually includes setup checklists, progress trackers, key first actions, and quick-start guides that help new users complete the initial steps required to start using the product successfully.
Can SaaS dashboards integrate with other tools?
Yes. Many SaaS dashboards integrate with external services such as CRM systems, marketing platforms, analytics tools, and data warehouses.
