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Join Louis Rosenfeld, an esteemed information architecture consultant, as he explores the intersection of Web Analytics (WA) and User Experience (UE) in document management. This presentation, delivered by experts including Alexia Gibbons and Emma Lawler, emphasizes the critical relationship between data-driven design and user behavior. Discover how understanding the user's path to finding information can improve digital product design and address common finding failures. Learn to integrate qualitative and quantitative data to enhance UX and create systems that genuinely support information seeking.
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Issues in Document Management 2 “The road to finding is paved with data: Web Analytics and User Experience”. By Louis Rosenfeld Presented by Alexia Gibbons, Lisa Hogarth, Anna Ingram, Felicity Kelly, and Emma Lawler 14th September, 2010
Who is Louis Rosenfeld? • Louis Rosenfeld is an independent Information Architecture consultant http://www.louisrosenfeld.com • Founder of Publishing house, Rosenfeld Media • Co-wrote “Information Architecture for the World Wide Web”in 2005 with Peter Morville
Browse, Search, Ask • Browse -Flickr • Search - Netflix • Ask - IKEA • When seeking for information, we use a combination of the three • Finding may be serendipitous • Even when we fail to find, we still learn
The process of Finding This diagram shows a user’s circuitous path to finding information (Diagram by Peter Morville) Rosenfeld uses this example to illustrate how “finding wanders in a highly dynamic way.” It shows how the user’s initial query changes through each iteration of searching, asking and browsing.
Finding • Finding is at the centre of user experiences • Finding is at the heart of all information seeking • Most information systems don’t support finding • What does this mean for the user?
Failure to Find • Information systems that give only one option for seeking do not support finding • Browse, Search or Ask • What if one of these fails? • Example: State of Delaware vs Land’s End
Finding is often a “broken experience” • A lack of models • Digital vs Physical world • Finding models are divided by irrational boundaries • Who is responsible for what? • Wrong people maintaining the systems • Lack of understanding of finding process • Designers are sometimes complacent • Haven’t paid much attention to data
User Experience (UE) • The result of a combination of design-related practices and methods • The acknowledgement by designers that it takes many different types of expertise across different disciplines to design digital products • Also known as “Experience Design” • The adoption of this concept is leading to more competent web design
Web Analytics (WA) • Web Analytics is quantitative data that analyses the behaviour of users • Real data that suggests what is “actually going on with our sites and our products” • Complements the qualitative data already being used • Data that can tell a valuable story about the way users find information on the web
UE meets WA • The marriage of the two fields hasn’t taken place yet • Why? • Designers are reluctant to move outside their comfort zones • Designers not yet fully sold on “data-driven analyses” to answer the “why” questions about user behaviour
The importance of “Data” • Helps designers improve their qualitative analyses • Leads to better user experience • Behavioural data can be fully integrated into web design • Designers can witness the “winding road between searching, browsing and asking, and therefore “design experiences that weave together these finding methods”(p7) • Designers can look at failures or “roadblocks” in the finding process and see how users get around these problems
Finding the perfect match • Needs to be a “wedding” of WA and UX • Designers need to “learn the language of data” • Designers need to get better with data to: • Design for finding • Better communicate with other players
Class Discussion • Thank You for your attention!