We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Designed to be used
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Designed to be used
Business Intelligence

Designed to be used

JuiceAnalytics
JuiceAnalytics
4 Min Read
Designed to be used
Photo by wal_172619_II on Pixabay (https://pixabay.com/photos/building-facade-architecture-glass-7879891/)
SHARE

I have become curiously interested in this post that talks about how it’s difficult to correctly write an application for the iPhone. The assertion is that writing software for the iPhone is harder than for a desktop, not because of the technology, but because:

“everything counts so much — every design choice, every line of code, everything left in and everything left out.”

Very eloquently and precisely put. If you’ve ever used any sort of mobile computing platform, not just the iPhone, you know how much proper design can make an application really useful – or totally useless.

But then again, isn’t this the case with any application? Aren’t the best ones those in which the designer applied Brent’s assertion for iPhone software? Some applications seem to have their genesis in the charter “build an application that allows the user to perform all these actions” while others are built on the charge “build an application that helps the user solve this problem” — it’s the battle of functionality versus purpose.

Take a look at ChartChooser based on Andrew Abela’s “smart charting” guidelines. It doesn’t help users figure out how to pick a bar chart or pie chart. What it does is to help them answer the “what’s the right way to show this information” question. There’s not a lot buttons or features, it just does one thing well. There are certainly other good (better?) examples out there as well (FlipVideo, Evernote, Tivo, to name a few). The better the software, the less the user will think about it when using it to get their job done.

More Read

Update on the 6 March 2012 Government Big Data Forum
Update on the 6 March 2012 Government Big Data Forum
ShapeWriter Introduction (via ShapeWriterInc)
Fewer BI Tools in Your Future
Data Deluge Means No More Leonardo Da Vinci’s
5 Best Lead Magnet Ideas for Data-Driven Businesses

In line with this thinking, we put together a short list of some design principles that we use to keep the user productive:

  • Solve a problem – Make sure the end product provides a specific solution to a specific problem so the user can easily understand how it helps them.

  • Enable casual use – Minimize the “barrier to entry” for new users by avoiding feature overload, minimizing clicks for each task, and by not letting polish become bling.

  • Tell a story – Relate the data to the key questions, answering them in a logical order and revealing layers of detail as users express interest in knowing more, not before.

  • Lead to action – Empower the user to finish their task quickly (btw, the “task” is not “using software”).

  • Encourage exploration – Use the experienced guide approach to give the user enough context to understand the problem and then point them in the right direction to learn about new factors that will expand their insight.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

The New Zlibrary Official Domain Makes The Website Address Different -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Quiet Revolution in Enterprise: Embracing Agile Strategy
Business IntelligenceCulture/Leadership

Quiet Revolution in Enterprise: Embracing Agile Strategy

8 Min Read
Eight Levels Of Analytics
CRMData MiningPredictive Analytics

Eight Levels Of Analytics

5 Min Read
Mardi Gras in November
Business Intelligence

Mardi Gras in November

2 Min Read
Predictive Analytics are important no matter what IBM thinks
Business IntelligenceCRMData MiningPredictive Analytics

Predictive Analytics are important no matter what IBM thinks

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?