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
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 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

social CRM (sCRM) definition : CRM + aggregator + socialytics
Free Forrester Research on Future of BI
From the Midfield to the Top
Business Intelligence and Your Business: Ignorance Is Not Bliss
Factual Logic: Why Numbers Count

“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

ai kids and their parents
How Cities Use AI to Improve Playground Design
Exclusive News
human resource data
The Integration of Employee Experience with Enterprise Data Tools
Big Data Exclusive
protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

collected data use
Artificial IntelligenceBig DataBusiness Intelligence

What To Consider When Gauging The Effectiveness Of Collected Data

6 Min Read
big data for companies
Business Intelligence

The 6-Step Guide to Integrating Business Intelligence and Analytics

4 Min Read
AI machine learning in healthcare sector
Artificial IntelligenceExclusiveFeaturedMachine LearningPredictive Analytics

How Artificial Intelligence Is Revolutionizing Healthcare Sector in 2019

8 Min Read
big data strategy
Best PracticesBig DataBusiness IntelligenceBusiness RulesCulture/LeadershipData ManagementInside CompaniesITJobsPolicy and GovernanceSoftware

Finding the Right Sponsor for Your Big Data Project

8 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?