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Tom Johnson

A New Formula for Quantitative UX Decision Making | UX Magazine - 0 views

uxmag.com/...uantitative-ux-decision-making

formula decision making quantitative statistical analysis small sample

shared by Tom Johnson on 08 Aug 12 - No Cached
  • A New Formula for Quantitative UX Decision Making by Jeff Sauro, Jim Lewis Comments (0) Share on deliciousShare on diggShare on emailShare on hackernewsShare on redditShare on facebook_like32 Imagine a formula that would allow you to take data from a very small pool of users (often as few as 8; possibly as few as 3) and figure out why, for instance, Autodesk customers are calling support, whether Budget.com visitors can rent a car in under a minute, or why cardholders were reluctant to use a mobile payment site. Such a formula exists, and it’s not some abstract “formula for success” in management strategy or a design technique. We’re talking about a mathematical formula that’s easy to use but can transform the way you measure and manage the user experience. The formula is called the Adjusted-Wald Binomial Confidence Interval (“Adjusted-Wald Interval” for short), but its name isn’t as important as what it can do. Its power is in helping estimate the behavior of an entire user population, even when the sample size is small. It does this by taking a simple proportion as input and producing a confidence interval. For example, suppose 10 users have attempted a task and 7 completed it successfully. The simple successful completion rate is 70%. But, given such a small sample size, how can you have any faith in the result? Would it be reasonable to expect to get exactly 7,000 succe
  • Tom Johnson on 08 Aug 12
     
    A New Formula for Quantitative UX Decision Making by Jeff Sauro, Jim Lewis Comments (0) Share on deliciousShare on diggShare on emailShare on hackernewsShare on redditShare on facebook_like 32 Imagine a formula that would allow you to take data from a very small pool of users (often as few as 8; possibly as few as 3) and figure out why, for instance, Autodesk customers are calling support, whether Budget.com visitors can rent a car in under a minute, or why cardholders were reluctant to use a mobile payment site. Such a formula exists, and it's not some abstract "formula for success" in management strategy or a design technique. We're talking about a mathematical formula that's easy to use but can transform the way you measure and manage the user experience. The formula is called the Adjusted-Wald Binomial Confidence Interval ("Adjusted-Wald Interval" for short), but its name isn't as important as what it can do. Its power is in helping estimate the behavior of an entire user population, even when the sample size is small. It does this by taking a simple proportion as input and producing a confidence interval. For example, suppose 10 users have attempted a task and 7 completed it successfully. The simple successful completion rate is 70%. But, given such a small sample size, how can you have any faith in the result? Would it be reasonable to expect to get exactly 7,000 successes if the sample size was 10,000? Probably not, but how far off might it be?
Tom Johnson

LIVESTREAM: Truth and Trust in the 21st Century: New Ethics of Journalism | Mediashift ... - 0 views

www.pbs.org/...ntury-new-ethics-of-journalism

KSFR how to digital storytelling truth ethics journalism pbs storytelling

shared by Tom Johnson on 14 Nov 13 - No Cached
  • Tom Johnson on 14 Nov 13
     
    "LIVESTREAM: Truth and Trust in the 21st Century: New Ethics of Journalism 0 inShare By Mark Glaser November 13, 2013 In an era of social media and lightning-fast breaking news, how do you sort truth from fiction? Today, you can watch and listen in as a panel of traditional and new media practitioners discuss how they make ethical decisions on what to post and when. Produced by The Poynter Institute and MediaShift, "Truth and Trust in the 21st Century," will expand on the essays in the new book, "The New Ethics of Journalism," edited by Poynter senior faculty Kelly McBride and Tom Rosenstiel, executive director of the American Press Institute. McBride will moderate a panel on stage, and include a selection of diverse voices from the audience. The discussion will include recent case studies, how decisions were made and tips on how to get at the truth - and create trust - in the social age. Starting at 6:30 p.m. Eastern Time / 3:30 pm Pacific Time, you can watch the event live below. If you'd like to be part of the conversation, you can offer up comments and questions to be mentioned in the discussion via Twitter with the hashtag #newethics. You can also follow the conversation on Twitter with the #newethics hashtag, which is embedded below."
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