The Loppist

An online shoppable magazine that helps you to discover the stories behind intriguing design products made by up and coming designers.

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HNO Dr. Tritthart

New Website for Doctor Tritthart from Austria

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Brini Designer Website

Brini is an expert web and mobile design & development engineer with great focus on User Experience.

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Directspare.eu

Spare Parts for Auto and Moto

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Hacking Your UX Research

User experience is typically thought of as being an emotional and visual field, yet traditional UX principles don't provide designers with the agility that developers have with rapid development methods.

Unfortunately, these methods often put design on the backburner because believe that "an imperfect something is better than a perfect nothing." When it comes to prototyping, there needs to be some focus on design. Fortunately, you can improve your efficiency by using data to hack your UX research.

At a recent Stanford Igniters meetup Laura Klien, author of UX for Lean Startups, discussed how better data equals better products when applied to user experience research.

Although there are plenty of experiments you can use to leverage this information, you don't need to be a hardcore statistician to understand the basics. You don't even need to create special scenarios specifically for testing. There're plenty of insights you can gather just from your existing prototypes or finished products.

The customer funnel

Whether you're trying to have users sign up for a newsletter, purchase a product, or browse certain sections of your site, the journey from beginning to your user objective is like a funnel. You'll start with a large base, but only a fraction of the base will actually go through to the end. If you're offering SaaS products for example, your checkout funnel would consist of:

1. Create an account
2. Select a plan
3. Enter payment information
4. Enter billing information
5. Confirm the information
6. Show a thank you message and offer an upsell

Reducing lost conversions

The funnel concept is simple, yet just like a sieve, users are going to leave at each level. To reduce the drop-off, you'll need to find the friction points and come up with the solutions by using your data.

Sure, it's a bit dry at times, but analyzing the qualitative (what causes the action) and quantitative data (why the action occurs) is how you'll stand out from the competition. It's simply a matter of creating a guess of what you think would happen if you tried fixing a problem a certain way.

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When you're figuring out how to begin troubleshooting, you need to speak with your users to pinpoint their frustrations. From there you'll have immediate direction on improving your offering.

Of course user interviews only work in small batches. If you're rapidly building the solution, you'll have to iterate, measure, analyze, and repeat the process for an accurate overview of what's going on.

Continue reading %Hacking Your UX Research%

by Charles Costa via SitePoint

Google Play Services for Location and Activity Recognition

People like to take their mobile devices everywhere and use them constantly. Some apps take advantage of this and change their behaviour according to the users location and/or current activity to provide a better individualized service.

To get the user’s current location on Android, you can use the Location API that has been part of the Android framework since API level 1, or you can use the Google Location Services API, which is part of Google Play Services. The latter is the recommended method for accessing Android location.

The Google Location Services API, part of Google Play Services, provides a more powerful, high-level framework that automates tasks such as location provider choice and power management. Location Services provides new features such as activity detection that aren’t available in the framework API.

Continue reading %Google Play Services for Location and Activity Recognition%

by Joyce Echessa via SitePoint

Holy Hacking, Batman! Create Alfred Workflows in Ruby

The past several years have seen a sea of keyboard productivity tools introduced:

• Gnome Do
• Launchy
• Quicksilver
• Synapse
• LaunchBar

These tools enable users to associate complex actions with keywords or shortcuts. Alfred is similar to these solutions but has grown very popular thanks to its emphasis on user friendliness and flexibility.

Note: Alfred is OSX-exclusive.

One of the great things about Alfred is the ability to compose your own workflows. These can be constructed using the built-in editor, optionally including your own scripts written in PHP, Shell, Python...

...and Ruby.

In this tutorial, we will create a simple random number generator workflow using a Ruby script.

Continue reading %Holy Hacking, Batman! Create Alfred Workflows in Ruby%

by Robert Qualls via SitePoint