In case you missed it last time (since it filled up pretty quickly), there’s another chance to catch my full-day designing search tutorial in London on May 25. I’ll be presenting a full day course called Search Usability: Filters and Facets, which focuses on faceted search and provides deeper coverage of the key topics along with a variety of new practicals and group exercises.
It’s also very competitively priced from just £180 per person – contrast that with a rate of ~£659 a day for this comparable offering!
For further details and registration, see the UKeIG website. In the meantime, I’ve appended further details below.
Hope to see you there!
Faceted search offers tremendous potential for transforming the search experience. It provides a flexible framework that can satisfy a wide variety of user needs, from simple fact retrieval to complex exploratory search. This course will provide an introduction to the basic principles of search usability with a focus on the development of faceted navigation schemes that deliver both search effectiveness and user satisfaction.
“Really useful, informative”
“One of the best courses I’ve attended”
Who should attend?
Intranet/web managers, information architects, search specialists, developers and managers of search projects, or anyone who either has implemented or is planning to implement a search application and wants to maximise the usability and effectiveness of their investment.
CILIP’s Professional Knowledge and Skills Base (PKSB)
This course supports the following elements of CILIP’s PKSB:
1. Organising knowledge and information: 1.3 Classification schemes and taxonomies
3. Using and exploiting knowledge and information: 3.2 Understanding information seeking behaviour
This course will provide an introduction to the basic principles of search usability with a focus on the development of faceted navigation schemes that deliver both search effectiveness and user satisfaction. Participants will:
- Explore the fundamental concepts of Human-Centred Design for information search and discovery
- Learn how to differentiate between various types of search behaviour: known-item, exploratory, lookup, learning, investigation, etc.
- Understand the dimensions of search usability and how to apply them to different user contexts
- Study the basic principles of faceted classification and how to use them to deliver effective search and navigation experiences
The course will include both presentations and group work to enable delegates to analyse, evaluate and improve the effectiveness of search applications within their own organisation.
Tony Russell-Rose is Director of UXLabs, a research and design consultancy specialising in complex search and information access applications. Before founding UXLabs he was Manager of User Experience at Endeca and editor of the Endeca UI Design Pattern Library, a resource dedicated to best practice in the design of search and discovery experiences. Prior to this he was technical lead at Reuters, specialising in advanced user interfaces for information access and search. And before Reuters he was Group Manager at Canon Research Centre Europe, where he led a team developing next generation information access products and services.
His academic qualifications include a PhD in human-computer interaction, an MSc in cognitive psychology and a first degree in engineering, majoring in human factors. He also holds the position of Honorary Visiting Fellow at the Centre for Interactive Systems Research, City University, London. He has published some 70+ scientific papers on search, user experience and text analytics, and is co-author of “Designing the Search Experience: the Information Architecture of Discovery“, published by Elsevier in 2012.
Costs (including lunch and refreshments):
UKeiG members £180 + VAT at the current rate; others £220 + VAT at the current rate
- The Information Architecture of Discovery
- Mining search logs for usage patterns
- Search Interface Design (workshop at ESE 2014)
- Search and the Rorschach ink blot: do you see what I see?
- Text Mining and Visualization