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Watch, listen & learn from the world’s best UX experts.

Expert: Stephanie Lemieux

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If words like “SharePoint,” “CMS,” or “taxonomy” are part of your day-to-day lingo at work, then consider Stephanie Lemieux your design coach. After all, she’s an expert in transforming content into more flexible, meaningful user experiences.

As the principal of Dovecot Studio, Stephanie has helped diverse clients such as Nickelodeon, Arcade Fire, and the United Nations to make more sense of their content. And it’s no surprise – she’s got an uncanny ability to recognize common taxonomy issues, then re-structure content to create more helpful, usable products.

Before founding her consulting studio, Stephanie worked at Earley & Associates, where she helped clients including Best Buy, American Greetings, and Motorola. She also wrote “Integrating Taxonomy and Content Management” in the first volume of Information Management Best Practices.

Get more taxonomy goodness on Twitter by following @dovecotstudio

Headshot of Stephanie Lemieux
Stephanie Lemieux

Tagging with Folksonomies in a Taxonomy World

Headshot of Stephanie Lemieux
Stephanie Lemieux

What You’ll Learn

  • Expose tags through effective approaches such as tag clouds, faceted tags, and clustering
  • Encourage your users to create helpful tags using automatic suggestion or type-ahead features
  • Explore the good and bad from popular folksonomy implementations, like LibraryThing, Buzzillions, SharePoint, and Amazon
  • Develop proven strategies for implementing tagging inside of enterprise systems, such as a recent project from Raytheon systems
Headshot of Stephanie Lemieux
Stephanie Lemieux

New Ways to Think about Taxonomy:
The Role of Taxonomies in Your Organization

Headshot of Stephanie Lemieux
Stephanie Lemieux

What You’ll Learn

  • Use multiple taxonomies to describe aspects for a piece of information
  • Leverage your taxonomy when implementing your wayfinding solutions
  • Improve search applicability and improve both precision and recall
  • Create a unified search approach for known and discovered content