Tableau Deep Dive: Dashboard Design – Proof of Concept

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Tableau Deep Dive: Dashboard Design – Proof of Concept

Tableau Deep Dives are a loose collection of mini-series designed to give you an in-depth look into various features of Tableau Software.

Tableau Deep Dive Dashboard Design PROOF OF CONCEPT

We are now ready to start building a proof of concept or POC of our dashboard. Think of a POC as a prototype or your Beta test. We are focused on dashboard design, so I won’t spend much time on the actual construction of individual worksheets. Instead, let’s focus on bringing them together into a single reporting tool, a dashboard.

As before, we’ll introduce some theory and then apply it in the Practicum section in the second half of the article.

Concepts

 

Early Considerations

This last point is a catch-all for considerations that you should check off early, before you start building. First, I recommended in Layout & Structure that you stick to fixed sizing. I’m going to add to that by suggesting that you find the size (height & width) of your dashboard before you start building. When you resize your dashboard, whether tiled or floating, all of the dashboard objects resize proportionally. It’s much easier to lock in a size first and then work within those constraints.

As a recommendation of size, you have to understand where and how your users will access your dashboard. Do they use a desktop or laptop? Phone? Tablet? The good news is that you can seamlessly accommodate specific devices using Tableau’s Device Preview option in your dashboard screen.

Most organizations have some type of analytics package on their internal network – whether it is Google Analytics, Web Trends, etc. Within those tracking tools, there is a breakdown of the visitor’s screen resolution. You can find out what percentage of users have different bins of screen size. Plan your dashboard size to accommodate as many users as possible and then accommodate the smaller bins using the Device Preview feature.

Rapid Prototyping

Tableau has formulated a plan or process to grow from a single Tableau evangelist to a full enterprise level deployment complete with a Center of Excellence. This methodology is known as Tableau Drive. One component of Tableau Drive is how they recommend you approach dashboard creation.

Traditional software design relied on the Waterfall Method, which had distinct, sequential steps: requirements, design, implementation, user acceptance testing and finally deployment. Unfortunately, stakeholders are only involved at the very beginning and at the very end of that process. It puts the software developers into a black box and the resulting application or tool often doesn’t match what the stakeholders need or want.

Rapid prototyping takes that same cycle and puts it into a series of sprints that repeat over and over again until the project is done. The end user is brought in for requirements and guidance. The developer then produces a rough prototype in a short period of time (perhaps even a few hours), then shares the results. This continues until the prototype is as close to perfect as possible.

A couple of big advantages in approaching dashboards like this:

  • The stakeholder has input throughout the entire process to ensure the tool meets the goal.
  • User adoption will be much easier with stakeholder evangelism.
  • The stakeholder will learn Tableau’s capabilities in the process, which will enrich their ideas for the dashboard.
  • Any data deficiencies will be highlighted for correction or collection.

Practicum

 

Pre-Dashboarding Work

My first step would be to pull the internal web user data for our hypothetical company out of Google Analytics to suggest an optimal size, if your Tableau CoE doesn’t already have a recommendation. Alternately, I could go to my internal Tableau CoE for a suggestion on dashboard size in accordance with their best practices.

Here’s what the Google Analytics output might look like:

Google Analytics image sizing

Looking at our data above, we can capture nearly 83% of all intranet users by making our dashboard a width of 1000 pixels or less. We can use the Device Preview to create alternate sizes to cover tablet, and mobile phone to cover the rest.

Constructing the Layout

Based on our layout diagram from the previous article, I’m going to stick with a mainly tiled approach. There are a few elements that will be floating, but they’ll be the exceptions. Also, remember the importance of that left margin. I’m going to put my beautiful marketing funnel on that side, just beneath the dashboard logo and some key metrics.

For my design, I’ll use containers sparingly. Most of what I’m trying to do can be accomplished with the worksheet chart directly. I’ll group similar worksheets into an appropriate format and then set their size to fit “Entire View.” My worksheets below are in BLUE. My images are GREEN. My text object is in ORANGE and my containers are in RED. Note that I’m using horizontal as the main containers with two vertical containers to accommodate my two stacks of worksheets.

Constructing Dashboard layout in Tableau

Let’s take that layout and insert our worksheets, images and blank objects onto our dashboard. Here is our rough draft dashboard:

Everything is functional and everything is on the dashboard in the right layout. Perhaps most importantly, we have verified that our data, our logic and our assumptions are all accurate. This is the prototype that we are working towards in short sprints. That was the goal for our proof of concept (POC).

What’s Next?

In our next Deep Dive article on Dashboard Design, we’ll explore how we add Interactivity to make our report go from a static picture to a reporting tool. We’ll follow that with visual best practices, optimization and publishing. Until then, put any thoughts and questions in the comments section below.

Cheers!

Want More Tableau Deep Dives

  1. Tableau Deep Dive: LOD – Introduction to Detail
  2. Tableau Deep Dive: LOD – The Include Calculation
  3. Tableau Deep Dive: LOD – The Exclude Calculation
  4. Tableau Deep Dive: LOD – The Fixed Calculation
  5. Tableau Deep Dive: LOD – LOD Calculations vs. Table Calculations
  6. Tableau Deep Dive: Parameters – Parameter Overview
  7. Tableau Deep Dive: Parameters – Parameter Properties
  8. Tableau Deep Dive: Parameters – Filtering – Top N
  9. Tableau Deep Dive: Parameters – Calculated Fields
  10. Tableau Deep Dive: Parameters – Filtering Across Data Sources
  11. Tableau Deep Dive: Parameters – Bins
  12. Tableau Deep Dive: Parameters – Reference Lines
  13. Tableau Deep Dive: Parameters – Table Calculations
  14. Tableau Deep Dive: Sets – Introduction to Sets
  15. Tableau Deep Dive: Sets – Constant Sets
  16. Tableau Deep Dive: Sets – Computed Sets
  17. Tableau Deep Dive: Sets – IN/OUT
  18. Tableau Deep Dive: Sets – Combined Sets
  19. Tableau Deep Dive: Sets – Calculated Fields
  20. Tableau Deep Dive: Sets – Hierarchies
  21. Tableau Deep Dive: Dates – Introduction to Dates
  22. Tableau Deep Dive: Dates – Preparing Dates
  23. Tableau Deep Dive: Dates – More Date Functions
  24. Tableau Deep Dive: Dates – Exact Dates
  25. Tableau Deep Dive: Dates – Custom Dates
  26. Tableau Deep Dive: Dates – Rolling Dates
  27. Tableau Deep Dive: Dates – Calendar Filters
  28. Tableau Deep Dive: Dates – Week-by-Week Comparison
  29. Tableau Deep Dive: Dashboard Design – Planning
  30. Tableau Deep Dive: Dashboard Design – Layout & Structure
  31. Tableau Deep Dive: Dashboard Design – Proof of Concept
  32. Tableau Deep Dive: Dashboard Design – Adding Interactivity
  33. Tableau Deep Dive: Dashboard Design – Visual Best Practices
  34. Tableau Deep Dive: Dashboard Design – Optimization & Governance
  35. Tableau Deep Dive: Dashboard Design – Publishing
  36. Tableau Deep Dive: Table Calculations – Custom Sorts, Part One
  37. Tableau Deep Dive: Table Calculations – Custom Sorts, Part Two
  38. Tableau Deep Dive: Table Calculations – Custom Sorts, Part Three

More About the Author

Robert Curtis

Analytics Consultant / ANZ Practice Lead
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