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Measuring Information Architecture Quality: Examining Quantifiable Success Metrics

Explore the precision of quantifying information architecture quality beyond traditional methods. Learn to analyze success through quantitative and qualitative measures, focusing on task completion time, user satisfaction, frustration levels, category confusion, label lengths, and comprehension of content.

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Measuring Information Architecture Quality: Examining Quantifiable Success Metrics

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  1. CHI 2001 PanelMeasuring Information Architecture Quality: Prove It (or Not)!Quantifiable, Non-Traditional Shiraz J. Cupala Program Manager Microsoft Corporation 4 April 2001

  2. Quantitative Qualitative Task Success Satisfaction Time on Task Frustration Number of Categories Confusion Length of Labels Comprehension GENERIC Traditional Measures Aren’t Enough

  3. Type Goal Measures “Business” Goals Inform Measures

  4. Corporate Corporate Business Goals Type Goal Sell Products Measures Revenue/VolumeReferrals Subscriptions Brand Loyalty

  5. Informational Non-Profit “Business” Goals Type Goal Spread Knowledge Measures MembershipSubscriptionsRegistrationsCross-Links

  6. ContextualAnalysis Hypotheses Characteristics of Measurement Revenue VolumeReferrals Brand Loyalty Subscriptions MembershipRegistrationsCross-Links SurgicalTracking

  7. Millions 100,000 10,000 2,500 Information Page RegistrationForm Promotions Download % % Case Study: FrontPage 98 Beta • Long Page • Short Page • Reg. • No Reg.

  8. Case Study: FrontPage 98 Beta Reg. Reg. LongPage ShortPage

  9. % Case Study: FrontPage 98 Beta Reg. Reg. LongPage 10% More Downloads ShortPage 2-4x More

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