IA Tagung 2005: Card Sorting

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    IA Tagung 2005: Card Sorting - Presentation Transcript

    1. Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Card Sorting for Information Architecture Usage Areas, Methods and Samples Steffen Schilb (Steffen@cardsort.net)
    2. Outline Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Introduction
      • Card Sorting: The Standard Method
      • Cluster Analysis
      • Computer-Based Card Sorting
      • Card Sorting Variants
      • Conclusion
      • References
      • Questions and Discussion
    3. Introduction Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 1 Introduction
    4. Introduction: Why do People browse the Internet? Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
    5. Introduction: Why do People browse the Internet? Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Typical User Behaviour (Wodtke, 2003)
      • Search for specific Information
      • Complete a Task
      • Browsing around
      Problem Information cannot be found
    6. Introduction:Why does this happen? Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Hierarchy, Navigation Scheme No intuitive Navigation Scheme, Hierarchy People expect Content somewhere else
    7. Introduction:Why does this happen? Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Misunderstood Wording Inconsistent Terms English Vs. German Ambiguous Terms
    8. Introduction Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb How can this be improved?
    9. Introduction: How can this be improved? Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • With Card Sorting
      • Users group the Contents and develop a Hierarchy themselves
      • Helps to understand how Users group Information
      • Can provide insight into mental Model
      • Serves as helpful Input to specify IA
    10. Introduction Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Benfits of Card Sorting
      • Simple, Cheap, Quick
      • Established
      • Involves Users
      • Flexible
      • Provides good Results
    11. Introduction Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Usage Areas
      • Designing a new Site
      • Designing a new Area of a Site
      • Redesigning a Site
      • Early Stages of Prototyping
      • Large Websites
    12. Card Sorting: The Standard Method Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 2 Card Sorting: The Standard Method
    13. Card Sorting: The Standard Method Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Preparation
    14. Card Sorting: The Standard Method Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Preparation
      • Write down the Topics
      • Write each Content on a Card
      • Size of Cards should be manageable
      • Number of Cards should be manageable (30-100)
      • Label is extremely important
    15. Card Sorting: Preparation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Same Level of Detail Politics Album Charts
    16. Card Sorting: Preparation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Cover one distinguished Content Tennis Icehockey
    17. Card Sorting: Preparation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Describe the Content in a unambiguous Way Inspiration Opening Hours
    18. Card Sorting: Preparation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Before the Exercise starts...
      • Define Test Conditions (Single, Group,...)
      • Select Participants
      • Invite Participants
    19. Card Sorting: Conducting the Exercise Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Conducting the Exercise
    20. Card Sorting: Conducting the Exercise Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Procedure
      • Welcome Participants
      • Introduce Card Sorting Method
      • Give Instructions
        • Sorting out Cards
        • Sorting into multiple Categories
    21. Card Sorting: Conducting the Exercise Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Step 1: Sorting the Cards
    22. Card Sorting: Conducting the Exercise Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Step 2: Finalizing the Sorting
    23. Card Sorting: Conducting the Exercise Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Step 3: Labeling the Clusters
    24. Card Sorting: Closed Card Sorting Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Variant: Closed Card Sorting
      • Categories are predefined
      • Top-down Approach
      • Redesign/Relaunch of Websites
    25. Card Sorting: Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb (Manual) Analysis
    26. Card Sorting: Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Analysis Methods
      • Documention
      • „ Data-Eyeballing“
      • Spreadsheet Analysis
      • (Clusteranalysis)
    27. Card Sorting: Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Data-Eyeballing
      • Look for dominant Organization Schemes (Patterns)
      • Adjust Scheme to make kinds of Categories consistent
      • Set asside the odd Categories that don‘t match
    28. Card Sorting: Data-Eyeballing Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Result: Simple Taxonomy Sport Fussball 1. Bundesliga 2. Bundesliga ... Tennis Weltrangliste ATP-Turniere ... Basketball NBA ... Politik Aktuelles Aus aller Welt Deutschland ... Innenpolitik News ... Außenpolitik Europa ... Wirtschaft Deutschland News ... Weltweit News ... Börse News DAX Dow-Jones ...
    29. Card Sorting: Data-Eyeballing Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Attributes of Data-Eyeballing
      • Efficient
      • Easy and fast
      • But:
      • Highly subjective
    30. Card Sorting: Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Spreadsheet Analysis
    31. Card Sorting: Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Spreadsheet Analysis
      • More information can be found at
      • Boxes and Arrows:
      • Analyzing Card Sort Results with a Spreadsheet Template
    32. Cluster Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 3 Cluster Analysis
    33. Cluster Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Cluster Analysis
      • Statistical Analysis Method for identifying Groups
      • Most common Analysis Method
      • Mostly done with Computer
      • Procedure:
        • Step 1: Distance Matrix
        • Step 2: Tree Diagram
    34. Cluster Analysis Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix
    35. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Example Participant 1 Projekte AG‘s Aktuelle Projekte Studentisches Fachbereiche Insitute Campus Lageplan Anreise Participant 2 Aktivitäten AG‘s Aktuelle Projekte Studium Fachbereiche Institute Allgemeine Infos Lageplan Anreise Participant 3 Aktivitäten AG‘s Studium Fachbereiche Aktuelle Projekte Institute Informationen Lageplan Anreise
    36. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix P1 1.00 0.00 1.00 1.00 1.00 1.00 Anreise 0.00 1.00 1.00 1.00 1.00 1.00 Lageplan 1.00 1.00 1.00 0.00 1.00 1.00 Insitute 1.00 1.00 0.00 1.00 1.00 1.00 Fach-bereiche 1.00 1.00 1.00 1.00 1.00 0.00 Aktuelle Projekte 1.00 1.00 1.00 1.00 0.00 1.00 AG‘s Anreise Lageplan Institute Fach-bereiche Aktuelle Projekte AG‘s
    37. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix P1 1.00 0.00 1.00 1.00 1.00 1.00 Anreise 0.00 1.00 1.00 1.00 1.00 1.00 Lageplan 1.00 1.00 1.00 0.00 1.00 1.00 Insitute 1.00 1.00 0.00 1.00 1.00 1.00 Fach-bereiche 1.00 1.00 1.00 1.00 1.00 0.00 Aktuelle Projekte 1.00 1.00 1.00 1.00 0.00 1.00 AG‘s Anreise Lageplan Institute Fach-bereiche Aktuelle Projekte AG‘s
    38. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix P1 + P2 1.00 0.00 1.00 1.00 1.00 1.00 Anreise 0.00 1.00 1.00 1.00 1.00 1.00 Lageplan 1.00 1.00 1.00 0.00 1.00 1.00 Insitute 1.00 1.00 0.00 1.00 1.00 1.00 Fach-bereiche 1.00 1.00 1.00 1.00 1.00 0.00 Aktuelle Projekte 1.00 1.00 1.00 1.00 0.00 1.00 AG‘s Anreise Lageplan Institute Fach-bereiche Aktuelle Projekte AG‘s
    39. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Example Participant 1 Projekte AG‘s Aktuelle Projekte Studentisches Fachbereiche Insitute Campus Lageplan Anreise Participant 2 Aktivitäten AG‘s Aktuelle Projekte Studium Fachbereiche Institute Allgemeine Infos Lageplan Anreise Participant 3 Aktivitäten AG‘s Studium Fachbereiche Aktuelle Projekte Institute Informationen Lageplan Anreise
    40. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix (P1+P2)+P3 1.00 0.00 1.00 1.00 1.00 1.00 Anreise 0.00 1.00 1.00 1.00 1.00 1.00 Lageplan 1.00 1.00 1.00 0.00 0.67 1.00 Insitute 1.00 1.00 0.00 1.00 0.67 1.00 Fach-bereiche 1.00 1.00 0.67 0.67 1.00 0.33 Aktuelle Projekte 1.00 1.00 1.00 1.00 0.33 1.00 AG‘s Anreise Lageplan Institute Fach-bereiche Aktuelle Projekte AG‘s
    41. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb How to calculate ∑ K F (A F /B F ) = K t (A t /B t ) T t=1 T K: Relative Coordinate A: Relative X-Coordinate B: Relative Y-Coordinate F: Final Matrix T: Number of Participants t: Participant
    42. Cluster Analysis: Distance Matrix Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • From Distance Matrix to Tree Diagrams
      • Single Linkage Algorithm
      • Complete Linkage Algorithm
      • Average Linkage Algorithm
    43. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Distance Matrix 1.00 0.86 0.81 0.83 Alumni 0.86 1.00 0.92 0.42 Aktuelle Projekte 0.81 0.92 1.00 0.69 ASTA 0.83 0.42 0.69 1.00 AG‘s Alumni Aktuelle Projekte ASTA AG‘s
    44. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • How it works
      • Pair (Aktuelle Projekte/AG‘s) is most frequently grouped together (58%)
      • Combine Pair to one Cluster and calculate new Distances
      • d(E; CE1 + CE2) = min{d(E;CE1), d(E;CE2)}
      • d(ASTA; AG‘s + Aktuelle Projekte) = min{d(ASTA;AG‘s), d(ASTA; Aktuelle Projekte)} =
      • min{0.69, 0.92}= 0.69
    45. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb New Distance Matrix 1.00 0.81 0.83 Aktuelle Projekte 0.81 1.00 0.69 ASTA 0.83 0.69 1.00 AG‘s+ Aktuelle Projekte Alumni ASTA AG‘s+ Aktuelle Projekte
    46. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Steps
      • AG‘s+Aktuelle Projekte 0.42
      • (AG‘s+Aktuelle Projekte)+ASTA 0.69
      • ((AG‘s+Aktuelle Projekte)+ASTA)+Alumni 0.81
    47. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Final Dendogram AG‘s Aktuelle Projekte ASTA Alumni 0.00 0.50 1.00 0.42 0.69 0.81
    48. Cluster Analysis: Single Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Attributes
      • min{0.69;0.92}=0.69
      • Nearest-Neighboor-Method
      • Minimum-Distance Rule
      • Chaining Phenomenon
      • Isolates Outliners (Most important Attribute)
    49. Cluster Analysis: Complete Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Attributes
      • max{0.69;0.92}=0.92
      • Furthest-Neighboor-Method
      • A lot of small Groups are formed
      • Large groups are mostly formed at the End
      • Does not identify Outliners well
    50. Cluster Analysis: Average Linkage Algorithm Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Attributes
      • 0,5x(0.69) + 0,5x(0.92) = 0.80
      • Takes mean Distance
      • No Chaining Phenonemon
    51. Computer-Based Card Sorting Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 4 Computer-Based Card Sorting
    52. Computer-Based Card Sorting Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Some Tools
      • EZSort
      • CardSort
    53. Computer-Based Card Sorting: EZSort Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb EZSort
    54. Computer-Based Card Sorting: EZSort Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Features
      • Most common Card Sorting Tool
      • Developed by IBM in 1998
      • USort for Sorting the Cards (Open Card Sort)
      • EZCalc for Clusteranalysis
      • Windows-only
    55. Computer-Based Card Sorting: CardSort Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb CardSort
    56. Computer-Based Card Sorting: CardSort Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Features
      • Developed in 2003
      • www.cardsort. net
      • Allows only Card Sorting (open and closed)
      • Analysis with EZCalc
      • Cross-plattform
    57. Computer-Based Card Sorting Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Other Tools
      • CardZort
      • http:// condor . depaul .edu/~jtoro/cardzort/
      • CardSword
      • http://cardsword.sourceforge.net/
      • WebSort
      • http:// www.websort.net/
    58. Card Sorting Variants Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 5 Card Sorting Variants
    59. Card Sorting Variants Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Card Sorting Variants
      • Card Sorting with Subgroups
      • Labeling the Contents
      • Rating the Contents
    60. Card Sorting Variants: Card Sorting with Subgroups Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Card Sorting with Subgroups
    61. Card Sorting Variants: Card Sorting with Subgroups Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Attributes
      • Adding an additional Sorting Step
      • First: Forming Clusters (Subgroups)
      • Second: Forming Major Clusters
      • Third: Labeling the (Major) Clusters
    62. Card Sorting Variants: Labeling the Contents Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Labeling the Contents
    63. Card Sorting Variants: Labeling the Contents Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Labeling the Contents
      • Cards represent Content Descriptions
      • Users label the Contents
      On this page, students register online for their courses.
    64. Card Sorting Variants: Rating the Contents Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Rating the Contents Gerry McGovern (2002)
    65. Card Sorting Variants: Rating the Contents Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Begriff 20 Step 1 Step 2 Begriff 14 Begriff 7 Begriff 4 Begriff 23 Begriff 6 Begriff 24 Begriff 16 Begriff 1 Begriff 2 Begriff 1 Begriff 3 Begriff 5 Begriff 8 Begriff 9 Begriff 10 Begriff 11 Begriff 13 Begriff 15 Begriff 17 Begriff 1 Begriff 18 Begriff 21 Begriff 22 Begriff 25 Begriff 26 Begriff 4 Begriff 6 Begriff 7 Begriff 14 Begriff 16 Begriff 19 Begriff 20 Begriff 23 Begriff 24
    66. Conclusion Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 6 Conclusion
    67. Conclusion Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Summary
      • Card Sorting is an easy and cheap Method to get an Insight into the users‘ mental Model
      • Many different Variants
      • Not a silver Bullet
      • Generates Suggestions for Navigation, Hierarchy, Wording
    68. Conclusion Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Summary
      • Can be done paper-based or computer-based
      • Computer-based Method is better for Analysis
      • -> Clusteranalysis
      • Manual Method is easier for Users to handle
    69. Conclusion Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Keep in Mind
      • Only for large Websites
      • Users‘ Tasks are not integrated
      • May capture “Surface” Characteristics only
    70. References Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 7 References
    71. References Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
      • Links, Books, Articles
      • IAWiki Card Sorting
      • http://www.iawiki.net/ CardSorting
      • Boxes and Arrows
      • http://www.boxesandarrows. com
      • James Robertson
      • http://www.steptwo.au
      • Donna Maurer
      • http://www.maadmob.net/donna /
    72. Card Sorting Variants: Card-Based Classification Evaluation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Thank you!
    73. Computer-Based Card Sorting Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb 8 Questions and Discussion
    74. Card Sorting Variants: Card-Based Classification Evaluation Card Sorting for Information Architecture: Usage Areas, Methods and Samples IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb Further Questions? Contact me! [email_address]

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