Underneath the hype and hyperbole of "AI" capabilities, there's a compelling use case for responsibly using LLMs to help information architecture practitioners make better use of time-tested analysis and classification approaches and tools. Here is an example of one way that LLMs and rules-based text analysis techniques can be coordinated to generate tags for a topic taxonomy that has fallen out of sync with its content set.
Two weeks ago it was again my pleasure and privilege to attend Taxonomy Boot Camp (TBC) in Washington, DC. This was TBC's 20th year, and, in the four times I've attended since 2016, was the strongest argument yet for the enduring importance of well-designed and integrated taxonomies. In addition to tracks for "taxonomy fundamentals," this year's event featured tracks for "taxonomy applications," "taxonomy operations," and "advanced data and semantic layers." This is my roundup of the themes and insights that stood out to me most.
Modern AI products make a lot of promises around the "expertise" delivered by their models. Sometimes, though, another expert is not what I (or my clients) need. “Deskilling” replaces the "magic" of an LLM "figuring everything out" with structured, predictable steps and then uses language models as the glue between natural language and computational tasks.
In this episode of "The Informed Life," Jorge Arango and I discuss the role of structured content in making complex ideas clear online. Topics include the transition from traditional web pages to a data-centric web design, the role of information architecture in making complex information systems accessible and intelligible to both humans and machines, and the challenges and opportunities in using semantically sound structured content to enhance digital information's usability and accessibility.
In this episode of the "Earley IA Podcast," Earley and Associates founder Seth Earley and I discuss the role of information architecture in the development of knowledge graphs, the importance of keeping "humans in the loop," and the unsung benefits of starting small with knowledge graphs (even when—especially when—you've got big plans for the next iteration).
Last week I had the pleasure and privilege of attending the 18th annual Taxonomy Boot Camp in Washington DC. This year’s conference carried on its strong tradition of ideas, talks, and workshops for neophytes and experts alike, and, as always, provided much food for thought. Here’s a roundup of the themes and topics I saw recurring across talks, plus (as always) a bit of commentary on where I see them fitting into the bigger picture of designing information spaces that are easy to understand and pleasant to use.
Domain modeling helps organizations discover the information structures and meaning that allow structured content to reach further and last longer. By uncovering the assumptions and tacit rules that plague your content ecosystem, domain modeling can help you facilitate the shared vision necessary to create resilient, scalable systems for communication across channels.
Sanity Studio offers a fantastic open source structured content editor that can be hosted anywhere. This comprehensive guide provides detailed steps on self-hosting Sanity Studio on DreamHost with continuous development using GitHub actions.
UX Methods is a progressive web app designed to help those new to the practice of user experience design explore and understand the purpose-driven connections between UX tools, techniques, and approaches. It is also a case study in boutique knowledge graph design which explores the benefits of bringing semantic web technologies to smaller scale projects.
One of the greatest challenges in digital design is identifying and maintaining focus on the right problem. For information architecture, one of our most common deliverables, the visual sitemap, can actually make focusing on the right problems harder, if not impossible. In this article we’ll examine why this happens, explore what practitioners and teams can do to avoid this trap of misplaced focus, and learn how to rehabilitate our wayward sitemaps and reinstate them as the effective design artifacts they can be.
The way that we consume information on the web is changing. Voice and IA technology are driving this change in a way that affects anyone publishing online. And yet: we continue to hold on to the metaphor of the content we publish as “pages,” destined to be found and read as delivered by patient, attentive online readers. I recently had the opportunity to talk with the Seattle Content Strategy MeetUp group about this alarming state of affairs—and about what we can do to fix it.
Finding and hiring an information architect can be challenging, especially when your IA needs are project based. Fortunately, there are ways to use the periodic nature of some IA work to your advantage.
Information architects work collaboratively to build information environments that support defined user and business goals. An IA will work to clarify the systems and structures that support those goals—or are actively undermining them.
Not every project needs a dedicated information architect, but things can go woefully sideways if you need one and don't have one. Here are a few clues that you should include an information architect, or at least a practitioner with strong IA skills, on your design team.
Information Architecture is the process and the product of designing shared information environments. In the same way that building architects collaborate in the creation of physical environments for shared human use, information architects collaborate in the creation of information environments for shared human use. The architect may not know in detail how each wall or widget gets built, but they know enough about how all the pieces fit together as a whole to ensure that the final result effectively meets the human needs.
Much virtual ink has been spilled in the last year or two over the importance of thinking about information design in terms of systems as opposed to thinking of it as a set of carefully laid out maps. As an initial stab at defining an approach to systems informed by the way we think, I submit that information architecture is in a unique position to act as a shim between systems and sentience. IA is where we create information from data and structure that information with narrative. We use IA to wend a deliberate path through the wilds of content at large.