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steps
to a visually
persuasive
dashboard
Beyond
Excel:
Many professionals use Excel to store data that
they want to visualize and turn into dashboards.
The trouble is, creating a visually persuasive
dashboard isn’t always simple.
Tweet This
Many Excel dashboards
cause more problems
than they solve by adding
unnecessary complexity.
You end up spending more
time trying to understand
what’s in front of you
instead of learning
answers to questions.
Many charts also lack
interactivity which limits
the ability to explore
data and uncover
meaningful insights.
What if you could
turn this around and start creating
dashboards?
visually persuasive
• Communicate the most important
information about a given subject
and draw attention to problem areas
• Convey your findings rapidly with all
the information at your fingertips
• Engage users with interactive
charts and graphs
Visually persuasive dashboards aren’t just
about making beautiful charts and graphs.
They enable you to…
Tweet This
Here are five steps for creating
visually persuasive dashboards:
2. Develop a layout that
guides users through the data
1. Identify
key metrics
3. Provide a
comparison for all KPIs
4. Design the dashboard
to maximize comprehension
5. Drive
engagement
Tweet This
1. Identify key metrics
This is a classic case of less is more.
Go beyond identifying whether a metric
is relevant to your dashboard and instead
ask yourself, “is this data point imperative
to this dashboard?” If not, leave it out.
Establish a common ground by using
metrics that users immediately recognize
such as capital expenditure, change in
sales, or time to hire.
Pull metrics from credible sources
to help you gain buy-in.
2. Develop a layout that
guides users through
the data
Try to anticipate users’ questions
and organize metrics accordingly
so that your dashboard is ready
to deliver answers. Group related
metrics together to show how they
form the big picture.
Users generally tend to look at
content on the top and left sides of
a page or screen first. Place
the most important metrics in
these areas.
Consider a grid layout. It lets you
space metrics evenly across the
dashboard to maintain
visual cohesion.
3. Provide a comparison for all KPIs
Absolute measures don’t give context,
which reduces users’ ability to understand
and act on the data. Instead, include
comparisons and trends to show how
the company is progressing toward its
goals.
For instance, if 500 prospects visited
your booth on the first day of an industry
conference, so what? Show how this
compares to the traffic on the other
days of the show and to that of last
year’s show.
Highlight metrics that are
moving in the wrong direction
in order to focuses users on the
areas that need attention.
4. Design the dashboard to
maximize comprehension
Use charts that are user-friendly
and easy to interpret, such as bar
and line graphs. Avoid charts that
require users to spend extra time
comprehending the data.
Every pixel matters. Eliminate fancy
shading, outlines, and icons when
creating charts (also known as
“chart junk.”) It detracts from the
impact of the data.
Use color to add meaning. For
instance, use similar hues for
objects that are related to one
another. Use red or orange to
alert users to a critical point.
5. Drive engagement
Consider how users would want to
interact with the data. Star and
snowflake schemas work well for
allowing users to configure their
view of the data.
Invite users to explore the data
more deeply. Include filters that allow
users to view the data in a variety of
ways. Provide ways to drill into data,
such as through separate pages or
windows of analysis.
Give users action items based on the
results they just viewed. For instance,
you can recommend next steps,
revised business goals, or a person to
contact to learn more information.
Now that you know our secrets to creating
stunning dashboards, make sure it passes
the visual persuasion test:
• It answers users’ primary and secondary questions
• Users are able to explore the data freely
• Someone with a fresh perspective immediately
understands the dashboard
Check out the 5 Visualizations Pitfalls (and How to
Avoid Them) e-book to learn visualization tips and tricks
Visit the data visualizations area on the Qlik Blog to
learn best practices for how to best present your data
Ready to learn more?
© 2015 QlikTech International AB. All rights reserved. Qlik®
, QlikView®
, Qlik®
Sense, QlikTech®
, and the QlikTech logos are trademarks of QlikTech International AB which have been
registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.
qlik.com

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5 steps to a visually persuasive dashboard

  • 2. Many professionals use Excel to store data that they want to visualize and turn into dashboards. The trouble is, creating a visually persuasive dashboard isn’t always simple. Tweet This
  • 3. Many Excel dashboards cause more problems than they solve by adding unnecessary complexity. You end up spending more time trying to understand what’s in front of you instead of learning answers to questions. Many charts also lack interactivity which limits the ability to explore data and uncover meaningful insights.
  • 4. What if you could turn this around and start creating dashboards? visually persuasive
  • 5. • Communicate the most important information about a given subject and draw attention to problem areas • Convey your findings rapidly with all the information at your fingertips • Engage users with interactive charts and graphs Visually persuasive dashboards aren’t just about making beautiful charts and graphs. They enable you to… Tweet This
  • 6. Here are five steps for creating visually persuasive dashboards: 2. Develop a layout that guides users through the data 1. Identify key metrics 3. Provide a comparison for all KPIs 4. Design the dashboard to maximize comprehension 5. Drive engagement Tweet This
  • 7. 1. Identify key metrics
  • 8. This is a classic case of less is more. Go beyond identifying whether a metric is relevant to your dashboard and instead ask yourself, “is this data point imperative to this dashboard?” If not, leave it out. Establish a common ground by using metrics that users immediately recognize such as capital expenditure, change in sales, or time to hire. Pull metrics from credible sources to help you gain buy-in.
  • 9. 2. Develop a layout that guides users through the data
  • 10. Try to anticipate users’ questions and organize metrics accordingly so that your dashboard is ready to deliver answers. Group related metrics together to show how they form the big picture. Users generally tend to look at content on the top and left sides of a page or screen first. Place the most important metrics in these areas. Consider a grid layout. It lets you space metrics evenly across the dashboard to maintain visual cohesion.
  • 11. 3. Provide a comparison for all KPIs
  • 12. Absolute measures don’t give context, which reduces users’ ability to understand and act on the data. Instead, include comparisons and trends to show how the company is progressing toward its goals. For instance, if 500 prospects visited your booth on the first day of an industry conference, so what? Show how this compares to the traffic on the other days of the show and to that of last year’s show. Highlight metrics that are moving in the wrong direction in order to focuses users on the areas that need attention.
  • 13. 4. Design the dashboard to maximize comprehension
  • 14. Use charts that are user-friendly and easy to interpret, such as bar and line graphs. Avoid charts that require users to spend extra time comprehending the data. Every pixel matters. Eliminate fancy shading, outlines, and icons when creating charts (also known as “chart junk.”) It detracts from the impact of the data. Use color to add meaning. For instance, use similar hues for objects that are related to one another. Use red or orange to alert users to a critical point.
  • 16. Consider how users would want to interact with the data. Star and snowflake schemas work well for allowing users to configure their view of the data. Invite users to explore the data more deeply. Include filters that allow users to view the data in a variety of ways. Provide ways to drill into data, such as through separate pages or windows of analysis. Give users action items based on the results they just viewed. For instance, you can recommend next steps, revised business goals, or a person to contact to learn more information.
  • 17. Now that you know our secrets to creating stunning dashboards, make sure it passes the visual persuasion test: • It answers users’ primary and secondary questions • Users are able to explore the data freely • Someone with a fresh perspective immediately understands the dashboard
  • 18. Check out the 5 Visualizations Pitfalls (and How to Avoid Them) e-book to learn visualization tips and tricks Visit the data visualizations area on the Qlik Blog to learn best practices for how to best present your data Ready to learn more?
  • 19. © 2015 QlikTech International AB. All rights reserved. Qlik® , QlikView® , Qlik® Sense, QlikTech® , and the QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners. qlik.com