What Makes a Good Tableau?

A Tableau dashboard can be the difference between data-driven clarity and a colorful, confusing mess. We've all seen dashboards packed with every metric imaginable yet offering zero real insight. This guide will walk you through the key principles and practical tips that separate mediocre dashboards from truly great ones, helping you build visualizations that are clear, purposeful, and genuinely useful.

Start With “Why”: Defining a Clear Purpose

Before you ever drag and drop a single field in Tableau, the most important step is to define the dashboard’s purpose. A dashboard without a clear goal is like a map without a destination. To steer clear of this trap, start by answering a few fundamental questions.

Who is the audience?

A dashboard designed for a CEO needs to provide a high-level overview of business health, focusing on key performance indicators (KPIs) like overall revenue, profit margins, and customer acquisition cost. In contrast, a dashboard for a marketing campaign manager needs to dive into the specifics of ad spend, click-through rates, and conversion rates by channel. Understanding your audience’s role, priorities, and data literacy level is the first step toward building something they will actually use.

• Executive dashboards should be simple, scannable, and focused on top-line metrics. They look for trends and summaries.
• Managerial dashboards require more detail, often with filters to compare team members, regions, or products. They need to monitor performance and spot anomalies.
• Analyst dashboards should be packed with functionality for deep dives, including complex filters, drill-downs, and multiple ways to slice the data. They are built for exploration and discovery.

What questions must this dashboard answer?

A great dashboard answers specific business questions. Instead of aiming to "show the sales data," aim to answer questions like:

• Which marketing channels are driving the highest ROI this quarter?
• How is our sales team performing against their monthly quotas?
• Which products are most frequently purchased together?
• Why has our website traffic dropped in the last two weeks?

Frame your dashboard around answering 3-5 of these core questions. This focus ensures every chart and metric included has a specific job to do, preventing the dashboard from becoming a cluttered data dump.

Lay Out Your Dashboard for Visual Clarity

Once you know your purpose, the next step is designing a layout that is intuitive and easy to read. A messy, disorganized dashboard can hide even the most brilliant insights. Great dashboard design isn't about being artistic, it's about making information easy to digest.

Follow a Logical Flow

Organize your dashboard like you would read a book - from top to bottom and left to right. Most users scan pages in an "F" pattern, focusing on the top and left side of the screen. Place your most important, high-level information in the top-left corner.

• Top Section: Use this space for your most critical KPIs and summary cards. A user should be able to glance here and get a 10-second summary of overall performance. (e.g., Total Revenue, Number of New Customers, Average Order Value).
• Middle Section: This is where you can place charts and graphs that provide more context and explore trends related to the KPIs above. (e.g., a line chart showing revenue over time or a bar chart comparing sales by region).
• Bottom Section: Reserve this area for the most granular data and tables, allowing users to drill down into specific details if they need to.

Use Whitespace Effectively

Whitespace, or the empty space between elements, is one of the most powerful tools in dashboard design. Without enough whitespace, your dashboard will feel crowded and overwhelming. Use it to group related items together and separate unrelated ones. A little breathing room makes the entire visualization easier to scan and understand, drawing the viewer's eye to distinct sections.

Maintain Consistency

Consistency is key to a professional and easy-to-use dashboard. Establish a set of rules and stick to them:

• Colors: Don't use color randomly. Assign specific colors to specific categories and use them consistently across all charts. For example, if "paid search" is blue in one chart, it should be blue in all of them. Use a neutral color for most of your data and a bold, contrasting color to highlight key insights or alerts.
• Fonts: Stick to one or two easy-to-read fonts for all your titles, labels, and numbers. Using consistent font sizes for titles and labels helps establish a clear visual hierarchy.

Choose the Right Chart for the Job

The type of chart you use has a huge impact on how well your data is understood. Using the wrong chart can confuse your audience and misrepresent your data. The goal is always clarity. Here’s a quick guide to some of the most common chart types and when to use them.

Comparing Values

When you need to compare different categories, the humble bar chart is usually your best bet. Humans are exceptionally good at comparing the lengths of bars.

• Vertical Bar Chart: Best for comparing a handful of categories (e.g., sales per product category).
• Horizontal Bar Chart: A great choice when you have long category labels that won't fit neatly under vertical bars.

Showing Trends Over Time

If your data is time-based, a line chart is the standard. It excels at showing trends, accelerations, or decelerations over a period.

• Line Chart: Use this to plot continuous data like website traffic over a year or monthly sales figures.
• Area Chart: A line chart with the space below it shaded in. It's useful for showing both a trend and the magnitude (volume) of that trend. Use it with care, as stacking multiple area charts can be misleading.

Showing Relationships

Sometimes you need to see if two different variables are related to one another.

• Scatter Plot: This is the go-to chart for showing the relationship or correlation between two numerical variables. For example, you could plot ad spend against sales to see if they're related.

Showing Parts of a Whole

Pie charts and donut charts are perhaps the most misused visualizations in business intelligence. While they are meant to show how different parts make up a whole, they become very difficult to read with more than two or three categories. A bar chart is often a better, clearer alternative.

• Pie/Donut Chart: Only use it when you have a small number of slices (ideally no more than three) and you want to show a simple composition, like a yes/no response percentage.

A simple rule of thumb: When in doubt, start with a bar chart or a line chart. They are familiar, easy to interpret, and cover a wide range of analytical needs.

Make Your Dashboard Interactive and User-Friendly

A static dashboard presents a single view, but a great Tableau dashboard is interactive, inviting users to explore the data for themselves. Thoughtful interactivity empowers users to answer their own follow-up questions.

Use Filters Sparingly and Intuitively

Too many filters can overwhelm users. Select only the most critical ones that your audience will need to slice the data, such as a date range filter or a filter for a product line. Place them in an obvious position, usually at the top or on the right-hand side of the dashboard, so users can find them easily.

Craft Useful Tooltips

Tooltips are the little pop-up boxes that appear when you hover over a data point. Use them to provide extra context without cluttering up the main view. Instead of just showing the value, customize your tooltips to include other relevant information. For instance, a tooltip on a sales chart could show not only the revenue for that month but also the corresponding profit margin and number of units sold.

Enable Logical Drill-Downs

Drill-down actions allow users to go from a summary view to a more detailed one. For example, a user could click on a region in a map to reveal a bar chart showing the sales for individual states within that region. This keeps the initial dashboard clean and high-level while providing deeper insights just a click away.

Final Thoughts

Building a good Tableau dashboard is about much more than technical skill, it’s about thoughtful design, a clear understanding of your audience, and a relentless focus on delivering actionable insights. By defining a clear purpose, creating a simple and logical layout, and choosing the right charts, you can transform a sea of data into a powerful tool for decision-making.

Creating effective dashboards in tools like Tableau requires time, practice, and a good sense of data visualization principles. We built Graphed to remove that friction. With Graphed , you simply describe the dashboard you want in plain English, and our AI data analyst builds it for you in seconds - no complex interface to learn, no chart types to memorize. It connects all your key data sources in one place, giving you live, interactive business intelligence without the steep learning curve.