iA.

Leveraging insights and data from Global Reviews ongoing syndicated studies, all IA projects begin with a review of recent relevant website experience data. By reviewing actual onsite journey performance across thousands of visits, a body of best practice evidence forms the foundations upon which the new IA is designed.

Leveraging network data theory we measure the strength of relationship between content elements in the proposed architecture using Eigenvector centrality. Complimenting more traditional forms of measurement, this approach allows for the analysis of data in a qualitative manner yet at scale.

Taking an iterative approach to architecture design which includes the testing of the current IA against multiple potential IA structures. We take the learnings from these first tests to iterative and develop a new design which we test again. Finally, the IA is worked up into high fidelity clickable prototypes which provide the opportunity to test the IA within a working site design prior to it going live.

We recognise the website represents all of the business and that there are many vested interests in how the structure, content and real estate is used. Designing an IA that meets the requirements of all of these vested interests is very difficult to do. Our IA process invites stakeholder participation from the outset and draws from the experience of knowledge experts while relying on the research to dictate the direction the structure takes.

With multiple research sprints, this approach provides an opportunity to explore and measure new design approaches which may be used on the website. Icon and image assisted pathways, object versus task based navigation and mega menu design approaches are a few examples of the types of things which can be measured within the study.