Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 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
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 mobil…

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:

More Read

customer service
The Future of Customer Service
On the Move: Surveying your Mobile User
Big Data: Where the Opportunities Are!
The Top Business Issues facing CIOs / IT Directors – Results
Analytics for Creating More Choices

“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.

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.

 Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive
blockchain for ICOs
The Role of Blockchain in ICO Fundraising
Blockchain Exclusive
ai in business
How AI Helps Businesses Discover Specialized Niches
Exclusive Marketing

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

ai in customer service
Artificial Intelligence

How AI Can Elevate Your Customer Service

5 Min Read

Business Intelligence: Intuitive vs Cool Data Visualization and Infographics

8 Min Read

Why Multi-Core is Easy and Internet is Hard | Lambda the Ultimate

3 Min Read

Considering IT Operational Decision Making as an Asset in Current Dynamics

7 Min Read

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

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

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?