Articles

Page Laubheimer

Page Laubheimer is a former NN/G employee who worked on research, teaching, leadership, and design thought leadership. His expertise focused on web applications, AI, and projects in complex domains. His many research findings and recommendations were also informed by his background in library and information science, and his work often involved information architecture, navigation design, taxonomy construction, and ontology management.

Articles and Videos

  • Vertical Navigation

    Websites with many categories can benefit from showing navigation menu options in a vertical list: vertical menus allow for easy expansion, are easy to scan, plus users are familiar with this design pattern.

  • Audience-Based Website Navigation

    Segmenting a website's navigation by audience categories will often degrade usability, either because users belong in multiple categories, or because they feel the need to look at content targeted at several segments.

  • A/B Testing Roadmap

    6 steps to consider when planning a systematic set of A/B tests to optimize a design for the long haul.

  • Polyhierarchy in Information Architecture

    Polyhierarchy is used to place a single item in more than one IA category. This can support users with different mental models but should be used judiciously.

  • Taxonomy 101: Definition, Best Practices, and How It Complements Other IA Work

    A taxonomy is a backstage structure that complements the visible navigation. Taxonomies support consistent information retrieval by creating formal metadata rules.

  • Personas vs. Archetypes

    Archetypes and personas used for UX work contain similar insights, are based on similar kinds of data, and differ mainly in presentation. Personas are presented as a single human character, whereas archetypes are not tied to specific names or faces.

  • Information Architecture: Study Guide

    Unsure where to start? Use this collection of links to our articles and videos to learn about information architecture (IA).

  • Data Tables: Four Major User Tasks

    Table design should support four common user tasks: find records that fit specific criteria, compare data, view/edit/add a single row’s data, and take actions on records.

  • Making Design Improvements vs. Upsetting Established Users

    Even if a design change improves the overall user experience, it can frustrate existing users who are used to things working a certain way.

  • Campbell’s Law: The Dark Side of Metric Fixation

    When organizations optimize metrics at the cost of all else, they expose themselves to metric corruption. Ultimately, as the Facebook scandal illustrates, they may fail their users and their business goals.