Book Review: Information Dashboard Design

Information Dashboard Design cover

Review by Pabini Gabriel-Petit

Published: April 9, 2007

Author: Stephen Few

Publisher: O’Reilly Media

Publication date: January 2006

Format: Paperback; 9.7 x 8.4 x 0.6 inches; 211 pages

ISBN: 0596100167

List price: $34.99

Overview

Stephen Few’s Information Dashboard Design: The Effective Visual Communication of Data defines the state-of-the-art of information dashboard design. Few, who is an expert in data visualization for the communication and analysis of quantitative business information has provided a complete, practical, and illuminating guide to dashboard design. If you are designing front-ends for executive information systems for Business Performance Management (BPM) or for monitoring and analyzing the performance of sales, marketing, or information systems, Information Dashboard Design provides all you need to know to ensure your dashboards communicate efficiently and effectively.

Organization 5 stars
Content 5 stars
Copyediting 4.5 stars
Illustrations 5 stars
Book Design 5 stars

According to Few, while today’s business intelligence (BI) software vendors have developed technologies that can gather data from disparate sources, transform data into more usable forms, store huge repositories of data in high-performance databases, and present data in the form of reports, “we have made little progress in using that information effectively.” This book provides a sound foundation in the principles of visual perception and communication that you must understand to design effective dashboards and offers guidelines for creating dashboards that provide engaging interactions “for exploring and analyzing structured, domain-specific information… to discern business trends or patterns.”

Organization

“Stephen Few’s Information Dashboard Design: The Effective Visual Communication of Data defines the state-of-the-art of information dashboard design.”

This well-structured book consists of eight chapters that follow a logical progression and build upon one another—plus a table of contents, introduction, appendix, and index—as follows:

  • Table of Contents
  • Introduction
  • Chapter 1—Clarifying the Vision
  • Chapter 2—Variations in Dashboard Uses and Data
  • Chapter 3—Thirteen Common Mistakes in Dashboard Design
  • Chapter 4—Tapping Into the Power of Visual Perception
  • Chapter 5—Eloquence Through Simplicity
  • Chapter 6—Effective Dashboard Display Media
  • Chapter 7—Designing Dashboards for Usability
  • Chapter 8—Putting It All Together
  • Appendix
  • Index

Each chapter comprises a title page with an introductory paragraph of text, a sort of chapter table of contents, and effectively chunked sections—within which the presentation of information is appropriate to the content, often including bulleted or other types of lists, simple tables, and side notes that provide reference information or explanatory text. Unfortunately, the section headings don’t precisely match the topics in the chapter tables of contents.

The very brief Introduction to this book eloquently states Few’s viewpoint on the current state and potential of information dashboards.

“According to Few, because of their poor visual design, most dashboards fail to live up to the potential this medium of communication offers.”

In Chapter 1, Few deplores the deficiencies that are characteristic of most information dashboards today and thereby establishes the need for the information his book provides. According to Few, because of their poor visual design, most dashboards fail to live up to the potential this medium of communication offers. So far, developers have emphasized flashy, colorful displays rather than the clear communication of information that meets people’s needs. After giving a brief history of dashboards in software, this chapter presents a collection of thirteen representative dashboards, then defines precisely what a dashboard is, identifies their common characteristics, and describes the value of dashboards.

Chapter 2 outlines the various ways in which one can categorize types of dashboards, including by role—strategic, analytical, or operational—quantitative or non-quantitative data, data domain or span, update frequency, static or interactive display, graphic and/or text display mechanisms, and whether a dashboard functions as a portal. This chapter also describes typical dashboard data, including both quantitative measures of current activity—displayed in various timeframes, compared with related measures, or enriched with status indicators—and non-quantitative data.

Chapter 3 gets specific about the problems that are endemic in dashboard design. It covers thirteen common design mistakes that undermine the usefulness of dashboards. These include exceeding the boundaries of a single screen, supplying inadequate context for data, displaying excessive detail or precision, choosing a deficient measure, using inappropriate or poorly designed display media, introducing meaningless variety in the display media, encoding quantitative data inaccurately, and visual design mistakes—laying out data poorly, failing to effectively highlight important data, adding useless visual clutter, misusing color, and designing an unaesthetic visual display.

“Few… delves into the science of visual perception.”

In Chapter 4, Few begins building the foundations of good dashboard design. He delves into the science of visual perception, describing the role of iconic memory, or the visual sensory register, and the limits of short-term memory in visual perception. He also discusses various means of visually encoding data for rapid perception and the Gestalt principles of visual perception and how to apply them to dashboard design.

In Chapter 5, Few establishes simplicity as the guiding principle in dashboard design and discusses condensing information through summarization and exception. Few summarizes his two key goals in dashboard design, as follows:

  1. Reducing non-data pixels by eliminating all unnecessary pixels and de-emphasizing and regularizing those that remain.
  2. Enhancing the data pixels by eliminating all that are unnecessary and highlighting the most important of the remaining data pixels.

By far the longest chapter in the book, Chapter 6 presents a library of effective dashboard display media. Few explains how to select the most appropriate display medium—either text, graphics, or some combination of the two. Once a designer has made this fundamental choice for each piece of information on a dashboard, the next step is to choose their optimal display media.

Chapter 7 discusses designing dashboards for usability, describing how to organize dashboards according to their meaning and use, maintain consistency, create aesthetically pleasing dashboards, and design a dashboard to function as a portal that lets users access additional, complementary information.

Finally, in Chapter 8, Few evaluates the pros and cons of eight different sales dashboards. Building on the principles and guidelines he’s provided in the foregoing chapters, Few presents several of his own exemplary dashboard designs:

  • sales dashboard—which a sales manager could use to monitor sales performance and strategic opportunities
  • CIO dashboard—which a Chief Information Officer could use to monitor the performance of a company’s information systems
  • telesales dashboard—which a supervisor of a team of sales representatives could use to monitor the team’s performance
  • marketing analysis dashboard—which a marketing analyst could use to monitor the marketing performance of a company’s Web site

A brief Appendix of recommended reading concludes the book.

Content

Few defines an information dashboard as a “single-screen display of the most important information people need to do a job, presented in a way that allows them to monitor what’s going on in an instant.” He views an effective dashboard as a powerful medium of communication. Here is how he describes the challenging design problem that information dashboards present:

“To serve their purpose and fulfill their potential, dashboards must display a dense array of information in a small amount of space in a manner that communicates clearly and immediately. This requires design that taps into and leverages the power of visual perception to sense and process large chunks of information rapidly. This can be achieved only when the visual design of dashboards is central to the development process and is informed by a solid understanding of visual perception—what works, what doesn’t, and why.”

About Dashboards

“Dashboards are used to monitor information at a glance.”—Stephen Few

Few defines the salient characteristics of a dashboard, as follows:

  • “Dashboards are visual displays.”
  • “Dashboards display the [most important] information needed to achieve specific objectives.”
  • “A dashboard fits on a single computer screen.”
  • “Dashboards are used to monitor information at a glance.”
  • “Dashboards have small, concise, clear, and intuitive display mechanisms.”
  • “Dashboards are… tailored specifically to the requirements of a given person, group, or function….”
“Graphical information, handled expertly, can often communicate with greater efficiency and richer meaning than text alone.”—Stephen Few

Few explains, “Graphical information, handled expertly, can often communicate with greater efficiency and richer meaning than text alone.” Almost all of the information in dashboards “is abbreviated in the form of summaries or exceptions. … A dashboard must be able to quickly point out that something deserves your attention and might require action. It needn’t provide all the details necessary to take action, but… it ought to make it as easy… as possible to get to that information.”

Because of the limited capacity of short-term memory, Few insists that “a dashboard should confine its display to a single screen, with no need for scrolling or switching between multiple screens. … One of the great benefits of a dashboard as a medium of communication is the simultaneity of vision that it offers: the ability to see everything that you need at once. ”

The role a dashboard plays—whether strategic, analytical, or operational—has the greatest impact on its visual design. Few says, “The design characteristics of the dashboard can be tailored to effectively support the needs of each of these roles. … The primary use of dashboards today is for strategic purposes. … They provide the quick overview that decision makers need to monitor the health and opportunities of the business. Dashboards of this type focus on high-level measures of performance, including forecasts…. Extremely simple display mechanisms work best for this type of dashboard.” Most dashboards “primarily display quantitative measures of what’s currently going on. … These measures are often expressed in summary form…. ”

While most of the information dashboards typically present is quantitative, “not all information that is useful on dashboards is… quantitative—the critical information needed to do a job cannot always be expressed numerically,” according to Few. Such non-quantitative data commonly includes simple lists—such as the top ten customers, issues, or tasks—schedules, project management information, process flows, or organization charts.

Visually Encoding Data for Rapid Perception

“Each of these visual attributes can be consciously applied to dashboard design to group or highlight information.”
—Stephen Few

Preattentive processing is an early stage of visual perception that occurs in iconic memory without conscious thought. It lets us rapidly recognize particular visual attributes that make certain things stand out or cause us to perceive visual groupings. “Attentive processing is sequential, and therefore much slower,” says Few. The preattentive attributes of visual perception belong to four categories:

  • color—hue and intensity—which combines both saturation and lightness
  • spatial position—2-D location
  • form—orientation, line length, line width, size, shape, added marks, enclosure
  • motion—flicker

Few explains, “Each of these visual attributes can be consciously applied to dashboard design to group or highlight information.” While many of these attributes can communicate only categorical data, those which can also communicate quantitative data include 2-D position, line length, and, to a limited extent—allowing the “perception of one thing as greater than, equal to, or less than another, but not with any degree of precision”—intensity, line width, size, and flicker—based on speed. “There is a limit to the number of distinct expressions of a single preattentive attribute that we can quickly and easily distinguish.”

Using Gestalt Principles of Visual Perception

The Gestalt principles of visual perception let us “intentionally tie data together, separate data, or make some data stand out as distinct from the rest.” You can apply the following six principles of visual perception in dashboard design:

  • proximity—“We perceive objects that are located near one another as belonging to the same group.” In addition to using white space or proximity to either separate or group objects, respectively, you can use proximity “to direct viewers to scan data on a dashboard predominantly in a particular direction: either left to right or top to bottom.”
  • closure—“We perceive open[, incomplete, and unusual] structures as closed, complete, and regular whenever there is a way that we can reasonably do so.” The principle of closure is useful in minimizing the number of visual elements on dashboards and in graphs. For example, you can “group objects… into visual regions without the use of complete borders or background colors to define the space,” and you can define the area of a graph using only a set of X and Y axes rather than full enclosure.
  • similarity—“We tend to group together objects that are similar in color, size, shape, and orientation.” You can apply the principle of similarity to identify different data sets in a graph or similar data that is not proximate and thereby encourage comparisons of such data.
  • continuity—“We perceive objects as belonging together, as part of a single whole, if they are aligned with one another or appear to form a continuation of one another.” You can use this principle to show relationships between the data on a dashboard.
  • enclosure—“We perceive objects as belonging together when they are enclosed by anything that forms a visual border around them….” You can use enclosure—by either borders or fill colors—as the strongest means of communicating the grouping of information.
  • connection—“We perceive objects that are connected in some way, such as by a line, as part of the same group.” Connection produces a stronger perception of grouping than proximity or similarity. “The principle of connection is especially useful for tying together non-quantitative data….”

Few declares, “Two of the greatest challenges in dashboard design are to make the most important data stand out from the rest, and to arrange what is often a great deal of disparate information in a way that makes sense, gives it meaning, and supports its efficient perception. An understanding of the preattentive attributes of visual perception and the Gestalt principles provides a useful conceptual foundation for facing these challenges.”

Simplicity and Emphasis

“The guiding principle in dashboard design should always be simplicity.”
—Stephen Few

According to Few, “The guiding principle in dashboard design should always be simplicity: display the data as clearly and simply as possible, and avoid unnecessary and distracting decoration. … Eloquence in communication is often achieved through simplification. … When designing dashboards, you must include only the information that you absolutely need, you must condense it in ways that don’t decrease its meaning, and you must display it using visual display mechanisms that… can be easily read and understood. Well-designed dashboards deliver information that is

  • exceptionally well organized
  • condensed, primarily in the form of summaries and exceptions
  • specific to and customized for the dashboard’s audience and objectives
  • displayed using concise and often small media that communicate the data and its message in the clearest and most direct way possible

Dashboards tell people what’s happening and should help them immediately recognize what needs their attention.” Few recommends:

  1. Simplifying a dashboard display by eliminating all unnecessary non-data pixels—such as borders, fill colors, gradients, 3-D, non-essential grid lines in graphs and tables, and purely decorative elements—and de-emphasizing and regularizing those that remain.
  2. Enhancing the data to give it as much clarity and meaning as possible by eliminating all unnecessary data—including information that is not essential to the user’s current task and non-essential instructional or descriptive text—“condensing data through the use of summaries and exceptions,” and highlighting the most important of the remaining data pixels.
“Few aspects of visual design emphasize some data above the rest as effectively as its location.”—Stephen Few

Important information includes “information that is always important,” which you can emphasize using static means, and “information that is only important at the moment”—such as “when it reveals something out of the ordinary”—that require dynamic emphasis. “Few aspects of visual design emphasize some data above the rest as effectively as its location.” The location of data is generally static, so you can emphasize data that is always important by placing it in the upper-left corner of the screen. Emphasize information that is currently important by dynamically displaying it in a pop-up at the center of the screen. You can also highlight important information—either statically or dynamically—by using visual attributes that are either greater than the norm—such as color intensity, size, or line width—or contrast with the norm—such as hue, orientation, enclosure, or added marks.

Few explains, “When highlighting important information, you must always be careful to restrict the definition of what’s important. If you highlight too much information, nothing will stand out and your effort to communicate will fail. When used with discretion, however, visual highlighting can achieve the goal of immediate recognition and quick response.”

“When used with discretion, however, visual highlighting can achieve the goal of immediate recognition and quick response.”—Stephen Few

Few’s focus generally remains on the effective display of data rather than good interaction design, and there is one point on which I disagree with him. He says, “Another category of content often found on dashboards that can be considered non-data pixels is that which supports navigation…. These elements might serve an important function, but they don’t display data. As such, they should not be given prominence. If they must exist, place them in an out-of-the-way location such as the bottom-right corner of the screen….” In my opinion, this is bad advice. The standard location for navigational elements is in the upper-left corner of the screen. While a very simple dashboard application might not require a discrete navigation system, complex applications do. You can offer both easy-to-use navigation and a simple visual display by displaying a navigation panel to the left of a dashboard, but letting users collapse the panel whenever they don’t need it.

Effective Dashboard Display Media

At the heart of the book is Few’s library of dashboard display media, which he introduces as follows:

“Dashboards must be able to condense a lot of information onto a single screen and present it at a glance without sacrificing anything important or compromising clarity. Consequently, they require display media that communicate effectively, despite these conditions. Every section of data on a dashboard should be displayed using the clearest and richest possible means, usually in a small amount of space. This requires an available library of display media that have been selected, customized, and sometimes created especially for dashboards, and an understanding of the circumstances in which each medium of display should be applied.”

According to Few, “Two fundamental principles should guide the selection of the ideal dashboard display media:

  • It must be the best way to display a particular type of information that is commonly found in dashboards.
  • It must be able to serve its purpose even when sized to fit into a small space.”
“The best medium for displaying data will always be based on the nature of the information, the nature of the message, and the needs and preferences of the audience.”
—Stephen Few

He goes on to say: “The best medium for displaying data will always be based on the nature of the information, the nature of the message, and the needs and preferences of the audience. A single dashboard generally displays a variety of data and requires a variety of display media, each matched to specific data.”

“When communicating quantitative information, the strength of written words and numbers compared to graphics is their precision. … Displaying individual values does not require graphics—indeed their use would only retard communication.” However, if you want a bigger picture of the whole or comparisons of multiple measures…, text alone doesn’t support this.

“Text, especially when organized into tables…, is a superb medium for looking up information. … Graphs don’t support looking up individual values as efficiently, and certainly not as precisely. … Giving values shape through the use of grid coordinates along two axes [lets] us visualize numbers…. This is the strength of graphs.”

“Effective dashboards need to combine text and graphics in a way that supports a rich and meaningful display of data, along with the desired level of quantitative precision, in a way that can be perceived efficiently.” Once you’ve decided whether to display data using text and/or graphics, you must decide which dashboard display media to use for the graphical display of specific data.

Few’s ideal display media for dashboards include

  • graphs—bullet graphs, bar graphs, stacked bar graphs, line graphs, a combination of bar and line graphs, sparklines, box plots, scatter plots, and treemaps
  • icons—to indicate alerts, up/down, and on/off
  • text—labels and numbers
  • images—photos, illustrations, and diagrams, which are occasionally of use
  • drawing objects—which can represent hierarchy or flow
  • organizers—tables, spatial maps, and small multiples

Designing Usable Dashboards

Introducing his discussion of designing dashboards for usability, Few states:

“One of the most challenging [aspects of a dashboard’s visual design] is the need to arrange many items of information—often related solely by the viewer’s need to monitor them all—in a manner that doesn’t result in a cluttered mess. This arrangement must support the intrinsic relationships between the various items and the manner in which they must be navigated and used to support the task at hand. A dashboard’s design must optimally and transparently support its use.”

To ensure that your dashboards are easy to use:

  • “Organize the information to support its meaning and use.”
    • “Organize groups according to business functions, entities, and use.
    • “Co-locate items that belong to the same group.
    • “Delineate groups using the least visible means.
    • “Support meaningful comparisons.
    • “Discourage meaningless comparisons.
  • “Maintain consistency for quick and accurate interpretation.
  • “Make the viewing experience aesthetically pleasing.
    • “Choose colors appropriately.
    • “Choose high resolution for clarity.
    • “Choose the right text.
  • “Design for use as a launch pad,” or portal, so users can drill down to supplemental information that they need to perform a task.

Writing & Copyediting

“Few writes with clarity and grace.”

Few develops his ideas logically and concisely, while providing all of the background information a reader might need to understand them. After first clearly describing each of the book’s mistakes, principles, and guidelines, Few ensures his meaning is clear by providing illustrative examples and thoroughly analyzes each of the examples.

This book is well written and contains very few copyediting errors. Few writes with clarity and grace—though he does sometimes tend to overuse passive voice. Some of the chapter tables of contents and quite a few introductory bulleted lists don’t reflect the order of the corresponding information in subsequent sections. The most egregious example of a poorly ordered list is in Chapter 2: a list in which the items should have appeared in order by timeframe. Also, Few occasionally uses non-standard terminology for standard elements in graphic user interfaces. I’m still wondering what he meant by “selection boxes.”

Illustrations

“This richly illustrated book contains numerous figures in most chapters.”

Most chapters of this richly illustrated book contain numerous figures, illustrating the following:

  • Chapter 1—13 examples of representative dashboards (See Figure 1.)
  • Chapter 3—26 examples of mistakes in dashboard design and 6 examples of ways to present similar information more effectively
  • Chapter 4—9 illustrations of attributes of visual perception and 10 illustrations of Gestalt principles of visual perception
  • Chapter 5—3 conceptual illustrations, 14 examples of good visual design, and 21 examples of poor visual design
  • Chapter 6—5 conceptual illustrations, 49 examples of effective dashboard display media, and 13 examples of less effective displays
  • Chapter 7—1 conceptual illustration, 6 examples of principles of good dashboard design, and 3 examples of poor dashboard design
  • Chapter 8—4 examples of good dashboard design, 8 examples of poor dashboard design, and one key for an example dashboard

Figure 1—An example of a flawed dashboard design

Flawed dashboard design

Book Design

“The book’s neutral color scheme reflects Few’s recommendations for the use of color on dashboards and, more generally, for the visual communication of data.”

This is a gorgeous book. Abstractions of several types of charts grace Few’s simple, elegant cover art. From the book’s beautifully designed, easy-to-read table of contents to the spare graphics on the odd pages that back some chapter title pages and the well-designed page layouts to the spacious index, the book designers’ attention to detail is evident throughout. The book’s neutral color scheme reflects Few’s recommendations for the use of color on dashboards and, more generally, for the visual communication of data. The full-page bleeds on the book’s chapter title pages—each in a different neutral hue with contrasting white text—make it easy to find your way around the book. Printed on thick, glossy paper, the book’s text and many images are crisp.

The information design is appropriate to the content, and therefore, varies somewhat from chapter to chapter—though the basic formats are the same throughout. Each of the book’s various content elements is well designed, including chapter title pages, the chapter tables of contents, the minimally designed tables, simple bulleted and numbered lists, lists that comprise paragraphs of detailed information with a run-in head introducing each item, side notes, galleries of images with accompanying descriptive text, and an appendix of recommended reading. Though the vertical lines extending along both sides of all figures other than those in the galleries violate Few’s guideline: “Eliminate all unnecessary non-data pixels.” In some cases, the vertical lines contain figures that would otherwise have no clear boundaries—such as conceptual illustrations or graphs—and work well. But where they surround a rectangular image such as a screen shot, they add visual noise and serve no useful purpose. In this case, the desire for absolute consistency in visual design has prevailed over the optimal presentation of individual figures.

Conclusion

“This is one of those rare books that seem to make the publication of other works on the same topic unnecessary.”

Written by one of the foremost experts in the field of data visualization, this is one of those rare books that seem to make the publication of other works on the same topic unnecessary. As dashboard design continues to evolve over time, I hope O’Reilly will publish updated versions of this book. It will be interesting to follow the evolution of dashboard design from Few’s point of view.

This is a very complete book and was obviously developed with great care. I highly recommend Stephen Few’s Information Dashboard Design to any information designers who are focusing on the visual display of data and, more particularly, to dashboard designers.

11 Comments

Outstanding book.

And like others in its class—Tufte, Wroblewski, Mullet and Sano—the book itself is a great case study in presenting information clearly and beautifully.

“Few writes with clarity and grace” could be “Few write with clarity and grace” as well.

It certainly is true that few write with clarity and grace, though Few does. :-)

Pabini, thank you for writing such a comprehensive and thoughtful review of my book. As an author, it is rare to have my work reviewed and appreciated by someone who understands it as well as you obviously do. Few things are more satisfying than the favorable opinion of one’s peers.

Stephen, thanks for writing such an excellent book!

Nice review, Pabini! You’ve captured the essence of this book well.

One thing I would like to have seen—or perhaps would like to see in the future—is more practical how-to approaches. While sparklines and bullet graphs do provide a much richer, more quickly accessed, and denser yet readable data display, they don’t easily apply to tools that exist on the market.

Perhaps we can discuss how feasible the approaches mentioned in the book are. Many of our clients have Cognos or Business Objects or Informatica, or they will invest in these business intelligence and other data warehouse tools. I’m just confused on how to design a dashboard that leverages the heavy lifting of these tools without breaking the budget for the presentation of the information. Regardless, I think this is a key book in the UX library.

Hi Joe—Glad you enjoyed the review.

I happily went along with the book’s focus on visual information design, but you raise a really interesting point. Some of the graphs Stephen Few depicts in his book aren’t that easy to achieve. It would be great if there were an affordable tool one could use to easily create all of the different kinds of graphs.

I hope Stephen is still monitoring this discussion, because I’d love to know what tool he uses to create sparklines and bullet graphs.

As you know, Mr. Few’s book is lavishly illustrated—as is his newsletter. Examples of dashboards are important to study. Fans of Stephen Few often visit the collection of business intelligence dashboards

Several of Mr. Few’s newsletter discussions are featured there.

To the previous poster interested in finding sparkline examples, take a look and you’ll find several dashboards featuring sparklines.

Hello Pabini,

A wonderful review. I enjoyed it very much.

Steve mentioned that the bullet graphs in Information Dashboard Design are mockups created with Adobe Illustrator.

But there are tools on the market that can create sparklines and/or bullet graphs.

VisualAcuity from Visual Engineering can produce both sparklines and bullet graphs. And so can SAS/Graph from SAS. I’m fairly sure there are more.

For Microsoft Office, there are two plugins available. One from BonaVista Systems and one from Bissantz.

There is an Excel-only solution for sparklines and one for bullet graphs.

Regarding the last comment on SAS/GRAPH and bullet graphs, the company just announced new graphing functionality. See this example dashboard using SAS version 9.2.

Excellent review, and you can learn a lot from existing design reviews.

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