This section covers a variety of ways in which Information Architecture (IA) is designed, and refined, to produce an outstanding user experience within the scope of requirements and business goals. It includes: Storyboarding, Decision Points, Error Handling, 3rd party App/API Integration, Adaptive UI, Searching multiple platforms, Sitemaps, Functional Testing, etc.
Rapid IA (Low Fidelity)
Below is an example of a quick collaborative team session to layout the sitemap for an app during the transition between initial research and conceptual phases.
Strategic Level IA (Medium Fidelity)
Below is an example of a more strategic level sitemap for a more complex platform that is an integration of a several varying new and existing applications and APIs. It is structured to provide the user with a clear means to aggregate information as well as navigate down for more detail.
High Fidelity IA (Decision Points, Error Handling, UI/App/Platform Interactions)
During one extremely complex app development project (with a multitude of server interaction and alternative configurations) the design and dev team struggled to comprehend each others work. I took to create a meld of both the server calls and decision points to adjust configuration settings with the actual screen UI. It was a bit of a use case monster document but it was extremely effective in getting the two teams on the same page. The below covers: use case decision points, error handling, 3rd party App/API integration, adaptive UI (only showing the user whats needed at each stage), and Searching multiple platforms.
Collaborative IA Communication
Being able to collaborate digitally is great, however sometimes you just have put this stuff up on a wall for people to truly see the big picture in how the pieces are coming together.
An use case example focusing on a specific high priority task flow for a user to configure their email set-up.
Functional Testing Support
I don’t just design UI and then move on to new work. I’m always involved with the functional testing of applications before launch. The following is an example of a beta version review feedback I provided to the dev team.