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I’ve worked with a number of job boards of varying shapes and sizes. One of the many frequent questions I’m asked is regarding how best to measure success.

Accessibility is an important issue in web design. Every individual using the internet has the right to access same information on the web and to have a positive and equal experience.

Whilst the majority of employers have a lot of success using job boards, less successful advertisers often ask ‘Why aren’t my adverts receiving more applicants?’

Across a wide range of industries, companies are finding that demand for skills is far outweighing supply, and as this skills gap continues to widen, are having to think more creatively as to how to beat the competition.

With sales of smartphone and tablet devices accelerating rapidly and new devices constantly launched into the market, mobile is clearly a vitally important channel for all job board businesses.

At the close of 2013 tablets were on the cusp of exceeding desktop sales, with most usage happening within the home from a Wi-Fi connection.

All of our responsive products are increasingly being delivered to international markets. One of the challenges for a designer is to design responsive layouts for multiple languages.

With more and more smartphone and tablets hitting the shelves and jobseekers moving between various devices in their job search we believe the answer is responsive design.

Social platforms are reporting record numbers of users and we are hearing of more and more social success stories from brands across the world - Social media has become vital to any job board business.

The jobseeker of today is a very different user to the one that may have been trawling your job board 24 months ago - No longer is job searching confined to laptop and desktop devices. 

A/B testing, or split testing, is a great way to test changes you want to make to your web pages against the current design to determine which one produces the best results.

The advancements in Madgex’s content integration technology allow us to analyse the behavior of users to build a detailed profile or their specific areas of interest.