How to Create a Simple Dashboard

Cody Schneider9 min read

Building a dashboard from scratch can sound intimidating, but it doesn't have to be a project reserved for data engineers. At its core, a good dashboard is just a clear, simple view of your most important metrics, and you can build a powerful one with tools you probably already use. This article will guide you through the process of creating a simple, effective dashboard step-by-step, starting with the planning phase and moving into building with common tools like Google Sheets or Excel.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

What is a Dashboard and Why Do You Need One?

Think of the dashboard in your car. It doesn't show you every single mechanical detail - it shows you the most critical information you need to operate the vehicle safely: your speed, fuel level, and engine temperature. A business dashboard does the same thing for your company, marketing campaign, or sales team.

A dashboard is a visual display of your key performance indicators (KPIs) consolidated onto a single screen. Its purpose is to give you a quick, at-a-glance understanding of performance so you can make faster, smarter decisions. Instead of digging through multiple platforms or dense spreadsheets to answer "How are we doing?", a dashboard gives you the answer in seconds.

The main benefits are straightforward:

  • Time Savings: No more manually pulling the same reports every Monday morning. You build it once, and it serves up your key metrics on demand.
  • Clarity and Focus: It forces you to identify what truly matters, steering your team away from vanity metrics and toward measures that actually impact goals.
  • Early Trend Spotting: Visualizing data makes it much easier to spot patterns, outliers, and opportunities you might miss in a table of numbers. Did sales dip after a website change? Did a new marketing campaign cause a spike in leads? A dashboard makes this obvious.
  • Improved Communication: It gives everyone on the team a single source of truth, ensuring an entire department is aligned and working from the same data.

Before You Build: The 3 Essential Questions

Jumping straight into building is a common mistake. A great dashboard starts with thoughtful planning. Before you open a spreadsheet or connect to a data source, take a few minutes to answer three fundamental questions. This planning process is the most important step and will save you hours of revision down the road.

1. Who is this dashboard for?

The audience dictates everything. The metrics that interest a senior executive are very different from what a junior social media coordinator needs to see daily. If you try to build a one-size-fits-all dashboard, you'll end up with one that’s useful for no one.

  • An Executive Dashboard (for a CEO or Founder): This needs to be high-level and strategic. Think big-picture business health: monthly recurring revenue (MRR), customer acquisition cost (CAC), customer lifetime value (CLV), and overall profit margins.
  • A Marketing Campaign Dashboard (for a Marketing Manager): This is more tactical. It needs to track campaign-specific performance: ad spend vs. conversions, cost per lead, click-through rate (CTR), and channel-specific ROI.
  • A Sales Performance Dashboard (for a Sales Team Lead): This is operational. It focuses on team and individual activity: deals in the pipeline, conversion rate by stage, calls made, and revenue closed this quarter.

Define your primary audience first, and build the dashboard for them.

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

2. What is its core purpose?

Closely related to the audience is the dashboard’s primary goal. Is it designed for daily monitoring, specific analyses, or long-term strategic planning?

  • Operational Dashboards: These are for monitoring real-time or daily activity - the "pulse" of a team. A call center dashboard showing call volume and wait times is a classic example.
  • Analytical Dashboards: These are used to investigate trends and understand why things are happening. A marketing analyst might build one to compare the performance of different ad campaigns over the last six months to find patterns.
  • Strategic Dashboards: These focus on long-term goals and key performance indicators. The executive dashboard is usually strategic, giving a bird's-eye view of the company’s health against its quarterly or annual goals.

Focus on one primary purpose. Trying to track daily operations and quarterly strategy on the same screen leads to clutter and confusion.

3. Which metrics matter the most?

Once you know your audience and purpose, you can finally select your KPIs. This is where many people get overwhelmed and add too much information. The key to a simple, effective dashboard is choosing fewer, better metrics.

Start with a core set of 3 to 5 KPIs that directly align with your purpose. If the goal is to increase sales from your website, don’t just track website traffic (a vanity metric). Instead, track more Actionable metrics like:

  • Number of "demo requested" form submissions
  • E-commerce conversion rate
  • Average order value
  • Leads generated from content marketing

Resist the urge to include every piece of data you have. A great dashboard is defined by the information it intentionally leaves out.

Step-by-Step: Creating a Simple Dashboard in Google Sheets or Excel

Now for the fun part. Spreadsheets are a fantastic and accessible tool for building your first dashboard. We'll use a simple content marketing dashboard as an example, tracking website visits, newsletter signups, and sales from a blog.

Step 1: Gather Your Data

A dashboard is only as good as its data. First, you need to bring that data into your spreadsheet. For this example, you might export a CSV file from Google Analytics (for traffic data) and your e-commerce platform or CRM (for sales data).

A best practice is to have two separate tabs in your file:

  1. Raw Data: This is where you paste your raw, untouched data exports. Never build your charts here.
  2. Dashboard: This is where your charts and summary tables will live, pulling from the "Raw Data" tab.

This separation keeps things tidy and prevents you from accidentally breaking formulas by sorting or filtering your raw data.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

Step 2: Organize Your Data

Good data organization is crucial. Structure your data in a clean, consistent table format on your 'Raw Data' tab. Each row should represent a record (e.g., a single day), and each column should represent a field (e.g., Date, Traffic Source, Sessions, Leads).

In Excel, select your data range and press Ctrl + T (or Cmd + T on Mac) to format it as a Table. In Google Sheets, you can use Named Ranges. This practice makes formulas and charts dynamic - when you add new data to the table, your charts will update automatically.

Step 3: Summarize Your Data with Formulas and Pivot Tables

Your dashboard needs summarized numbers (KPI totals), not a giant table of raw data. You’ll create a small summary section on your 'Dashboard' tab to power your charts.

You can do this with simple formulas. For example, to calculate total sessions from Google organic search:

=SUMIF('Raw Data'!B:B, "Google Organic", 'Raw Data'!C:C)

To count the number of new sales leads:

=COUNTA('Raw Data'!D:D)

For more complex summaries, Pivot Tables are your best friend. In just a few clicks, a pivot table can instantly summarize thousands of rows of data into a neat table showing totals, averages, or counts. It’s an essential skill for anyone working with data in spreadsheets.

Step 4: Visualize Your Data with Charts

With your summary data calculated, it’s time to create your visuals. The type of chart you choose depends on the story you want to tell.

  • Line Charts: Perfect for showing a trend over time. Use this for metrics like daily website traffic or monthly recurring revenue.
  • Bar or Column Charts: Use these to compare values across different categories. A column chart is great for comparing leads generated by a channel (e.g., Google vs. Facebook vs. Email).
  • Number Display (Scorecard): For your most important headline numbers (like "Total Revenue This Month"), simply create a clearly labeled cell with a large, bold font. This draws immediate attention to your primary KPIs.
  • Gauges or Speedometers: Use these to show progress toward a goal (e.g., 75% of quarterly sales target reached).

Avoid using pie charts unless you have just a few categories that represent parts of a whole (like traffic by device type: Desktop, Mobile, Tablet). Even then, a bar chart is often easier to read.

Step 5: Design and Arrange Your Dashboard

Finally, arrange your charts and numbers logically. Layout makes a world of difference in a dashboard's usability.

  • Follow the F-Pattern: People naturally read screens in an "F" shape. Place your most critical, high-level number (the "Total Revenue" scorecard) in the top-left corner.
  • Group Related Charts: Keep related metrics together. For instance, place your traffic acquisition charts next to your lead generation conversion charts. This helps tell a clearer story of your funnel.
  • Use Clear Titles: A chart's title should be a conclusion, not a description. Instead of "Sessions By Date," use "Website Sessions Increased by 22% in May." This instantly communicates the key insight.
  • Keep it Clean: Use whitespace to separate dashboard elements. A crowded dashboard is an overwhelming dashboard. Stick to a simple color palette and avoid distracting elements like 3D effects or busy gridlines.

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Beyond Spreadsheets: When to Consider BI Tools

Spreadsheet dashboards are fantastic for getting started, but they have their limits. The data needs to be manually refreshed by exporting and pasting new files, they can become slow with large datasets, and real-time collaboration can be difficult.

When you outgrow your spreadsheet, the next step is a dedicated Business Intelligence tool like Looker Studio (formerly Google Data Studio), Power BI, or Tableau. The biggest advantage of these platforms is their ability to create live connections to your data sources. You can connect directly to Google Analytics, Salesforce, HubSpot, Shopify, and dozens of other platforms. This means your dashboard updates automatically, in real-time or on a set schedule, eliminating manual work entirely.

Setting up these tools involves a steeper learning curve, but they offer far more power and automation for teams that are serious about data.

Final Thoughts

Creating your first dashboard is a powerful step toward making smarter, more data-driven decisions. By focusing on your audience, defining a clear purpose, selecting metrics that truly matter, and organizing your visuals for clarity, you can build an incredibly valuable asset with tools you already have.

We know that even with the right steps, pulling data from various sources and wrestling it into a spreadsheet is still a time-consuming chore. We built Graphed because we wanted to eliminate that busywork entirely. You can connect your marketing and sales platforms (like Google Analytics, Facebook Ads, Shopify, or HubSpot) in just a few clicks, and our platform handles all the hard work of syncing and organizing your data in the background. Instead of building charts and tables manually, you just ask for what you want in plain conversational language, and in seconds you have a beautiful, auto-updating dashboard. This way, you spend your time finding insights, not fiddling with formulas.

Related Articles