1. Information Architecture Steffen Schilb (Steffen@cardsort.net)
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting for
Information Architecture
Usage Areas, Methods
and Samples
Steffen Schilb
IATagung Frankfurt :: 28./ :: Steffen Schilb

2. Card Sorting: The Standard Method Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Outline
Introduction
Card Sorting: The Standard Method
Cluster Analysis
Computer-Based Card Sorting
Card Sorting Variants
Conclusion
References
Questions and Discussion
IATagung Frankfurt :: 28./ :: Steffen Schilb

3. 1 Introduction Introduction
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction 1
Introduction
Was ist Card Sorting? Kurzvorstellung mit Animation
Wo wird es eingesetzt? In welcher Phase? Open, Closed Card Sorting
Benefit:
Labels, mentales Modell, Inhaltsstruktur, Hierarchie
Nicht teuer, einfach
IATagung Frankfurt :: 28./ :: Steffen Schilb

4. Introduction: Why do People browse the Internet?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction: Why do People browse the Internet?
IATagung Frankfurt :: 28./ :: Steffen Schilb

5. Typical User Behaviour (Wodtke, 2003)
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction: Why do People browse the Internet?
Typical User Behaviour (Wodtke, 2003)
Search for specific Information
Complete a Task
Browsing around
Problem
Information cannot be found
IATagung Frankfurt :: 28./ :: Steffen Schilb

6. Hierarchy, Navigation Scheme
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction:Why does this happen?
Hierarchy, Navigation Scheme
No intuitive Navigation Scheme, Hierarchy
People expect Content somewhere else
IATagung Frankfurt :: 28./ :: Steffen Schilb

7. Misunderstood Wording
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction:Why does this happen?
Misunderstood Wording
Inconsistent Terms
English Vs. German
Ambiguous Terms
IATagung Frankfurt :: 28./ :: Steffen Schilb

8. How can this be improved?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction
How can this be improved?
IATagung Frankfurt :: 28./ :: Steffen Schilb

9. Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction: How can this be improved?
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

10. Benfits of Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction
Benfits of Card Sorting
Simple, Cheap, Quick
Established
Involves Users
Flexible
Provides good Results
IATagung Frankfurt :: 28./ :: Steffen Schilb

11. Usage Areas Designing a new Site Designing a new Area of a Site
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Introduction
Usage Areas
Designing a new Site
Designing a new Area of a Site
Redesigning a Site
Early Stages of Prototyping
Large Websites
IATagung Frankfurt :: 28./ :: Steffen Schilb

12. 2 Card Sorting: The Standard Method Card Sorting: The Standard Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: The Standard Method 2
Card Sorting:
The Standard Method
Preparation
Conducting the exercise
Analysis manual (Data-eyeballing. Simple Taxonomy)
IATagung Frankfurt :: 28./ :: Steffen Schilb

13. Preparation Card Sorting: The Standard Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: The Standard Method
Preparation
IATagung Frankfurt :: 28./ :: Steffen Schilb

14. Preparation Write down the Topics Write each Content on a Card
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: The Standard Method
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

15. Politics Album Charts Same Level of Detail Card Sorting: Preparation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Preparation
Same Level of Detail
Politics
Album Charts
IATagung Frankfurt :: 28./ :: Steffen Schilb

16. Tennis Icehockey Cover one distinguished Content
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Preparation
Cover one distinguished Content
Tennis
Icehockey
IATagung Frankfurt :: 28./ :: Steffen Schilb

17. Inspiration Opening Hours Describe the Content in a unambiguous Way
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Preparation
Describe the Content in a unambiguous Way
Inspiration
Opening Hours
IATagung Frankfurt :: 28./ :: Steffen Schilb

18. Before the Exercise starts...
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Preparation
Before the Exercise starts...
Define Test Conditions (Single, Group,...)
Select Participants
Invite Participants
IATagung Frankfurt :: 28./ :: Steffen Schilb

19. Conducting the Exercise Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Conducting the Exercise
Conducting the
Exercise
IATagung Frankfurt :: 28./ :: Steffen Schilb

20. Procedure Welcome Participants Introduce Card Sorting Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Conducting the Exercise
Procedure
Welcome Participants
Introduce Card Sorting Method
Give Instructions
Sorting out Cards
Sorting into multiple Categories
IATagung Frankfurt :: 28./ :: Steffen Schilb

21. Step 1: Sorting the Cards
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Conducting the Exercise
Step 1: Sorting the Cards
IATagung Frankfurt :: 28./ :: Steffen Schilb

22. Step 2: Finalizing the Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Conducting the Exercise
Step 2: Finalizing the Sorting
IATagung Frankfurt :: 28./ :: Steffen Schilb

23. Step 3: Labeling the Clusters
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Conducting the Exercise
Step 3: Labeling the Clusters
IATagung Frankfurt :: 28./ :: Steffen Schilb

24. Variant: Closed Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Closed Card Sorting
Variant: Closed Card Sorting
Categories are predefined
Top-down Approach
Redesign/Relaunch of Websites
IATagung Frankfurt :: 28./ :: Steffen Schilb

25. (Manual) Analysis Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Analysis
(Manual) Analysis
Data-eyeballing
Spreadsheet
Subjectivity,....
Disadvantages: time-consuming,
IATagung Frankfurt :: 28./ :: Steffen Schilb

26. Analysis Methods Documention „Data-Eyeballing“ Spreadsheet Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Analysis
Analysis Methods
Documention
„Data-Eyeballing“
Spreadsheet Analysis
(Clusteranalysis)
IATagung Frankfurt :: 28./ :: Steffen Schilb

27. Data-Eyeballing Look for dominant Organization Schemes (Patterns)
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Analysis
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

28. Result: Simple Taxonomy
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Data-Eyeballing
Result: Simple Taxonomy
Sport
Politik
Wirtschaft
Fussball
1. Bundesliga
2. Bundesliga
...
Tennis
Weltrangliste
ATP-Turniere
Basketball
NBA
Aktuelles
Aus aller Welt
Deutschland
...
Innenpolitik
News
Außenpolitik
Europa
Deutschland
News
...
Weltweit
Börse
DAX
Dow-Jones
IATagung Frankfurt :: 28./ :: Steffen Schilb

29. Attributes of Data-Eyeballing
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Data-Eyeballing
Attributes of Data-Eyeballing
Efficient
Easy and fast
But:
Highly subjective
IATagung Frankfurt :: 28./ :: Steffen Schilb

30. Spreadsheet Analysis Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Analysis
Spreadsheet Analysis
IATagung Frankfurt :: 28./ :: Steffen Schilb

31. Spreadsheet Analysis More information can be found at
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting: Analysis
Spreadsheet Analysis
More information can be found at
Boxes and Arrows:
Analyzing Card Sort Results with a Spreadsheet Template
IATagung Frankfurt :: 28./ :: Steffen Schilb

32. 3 Cluster Analysis Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis 3
Cluster Analysis
What is Cluster Analysis?
Distance Matrix 3 Folien
Example
Single-Linkage Verfahren 5 Folien
Complete Linkage Verfahren 2 Folien
Average-Linkage Verfahren 2 Folien
IATagung Frankfurt :: 28./ :: Steffen Schilb

33. Cluster Analysis Statistical Analysis Method for identifying Groups
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

34. Distance Matrix Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis
Distance Matrix
IATagung Frankfurt :: 28./ :: Steffen Schilb

35. Example Participant 1 Participant 2 Participant 3
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Example
Participant 1
Participant 2
Participant 3
Projekte
AG‘s
Aktuelle Projekte
Studentisches
Fachbereiche
Insitute
Campus
Lageplan
Anreise
Aktivitäten
AG‘s
Aktuelle Projekte
Studium
Fachbereiche
Institute
Allgemeine Infos
Lageplan
Anreise
Aktivitäten
AG‘s
Studium
Fachbereiche
Aktuelle Projekte
Institute
Informationen
Lageplan
Anreise
IATagung Frankfurt :: 28./ :: Steffen Schilb

36. Distance Matrix P1 Cluster Analysis: Distance Matrix 1.00 0.00
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Distance Matrix P1
AG‘s
Aktuelle Projekte
Fach-bereiche
Institute
Lageplan
Anreise
1.00
0.00
Insitute
IATagung Frankfurt :: 28./ :: Steffen Schilb

37. Distance Matrix P1 Cluster Analysis: Distance Matrix 1.00 0.00
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Distance Matrix P1
AG‘s
Aktuelle Projekte
Fach-bereiche
Institute
Lageplan
Anreise
1.00
0.00
Insitute
IATagung Frankfurt :: 28./ :: Steffen Schilb

38. Distance Matrix P1 + P2 Cluster Analysis: Distance Matrix 1.00 0.00
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Distance Matrix P1 + P2
AG‘s
Aktuelle Projekte
Fach-bereiche
Institute
Lageplan
Anreise
1.00
0.00
Insitute
IATagung Frankfurt :: 28./ :: Steffen Schilb

39. Example Participant 1 Participant 2 Participant 3
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Example
Participant 1
Participant 2
Participant 3
Projekte
AG‘s
Aktuelle Projekte
Studentisches
Fachbereiche
Insitute
Campus
Lageplan
Anreise
Aktivitäten
AG‘s
Aktuelle Projekte
Studium
Fachbereiche
Institute
Allgemeine Infos
Lageplan
Anreise
Aktivitäten
AG‘s
Studium
Fachbereiche
Aktuelle Projekte
Institute
Informationen
Lageplan
Anreise
IATagung Frankfurt :: 28./ :: Steffen Schilb

40. Distance Matrix (P1+P2)+P3
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
Distance Matrix (P1+P2)+P3
AG‘s
Aktuelle Projekte
Fach-bereiche
Institute
Lageplan
Anreise
1.00
0.33
0.67
0.00
Insitute
IATagung Frankfurt :: 28./ :: Steffen Schilb

41. ∑ How to calculate Kt(At/Bt) KF(AF/BF) = T
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
How to calculate T ∑
Kt(At/Bt)
KF(AF/BF) =
t=1 T
K: Relative Coordinate
A: Relative X-Coordinate
B: Relative Y-Coordinate
F: Final Matrix
T: Number of Participants
t: Participant
IATagung Frankfurt :: 28./ :: Steffen Schilb

42. From Distance Matrix to Tree Diagrams
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Distance Matrix
From Distance Matrix to Tree Diagrams
Single Linkage Algorithm
Complete Linkage Algorithm
Average Linkage Algorithm
IATagung Frankfurt :: 28./ :: Steffen Schilb

43. Distance Matrix Cluster Analysis: Single Linkage Algorithm 1.00 0.69
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
Distance Matrix
AG‘s
ASTA
Aktuelle Projekte
Alumni
1.00
0.69
0.42
0.83
0.92
0.81
0.86
IATagung Frankfurt :: 28./ :: Steffen Schilb

44. Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

45. New Distance Matrix Cluster Analysis: Single Linkage Algorithm 1.00
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
New Distance Matrix
AG‘s+
Aktuelle Projekte
ASTA
Alumni
1.00
0.69
0.83
0.81
IATagung Frankfurt :: 28./ :: Steffen Schilb

46. Steps AG‘s+Aktuelle Projekte 0.42 (AG‘s+Aktuelle Projekte)+ASTA 0.69
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
Steps
AG‘s+Aktuelle Projekte 0.42
(AG‘s+Aktuelle Projekte)+ASTA 0.69
((AG‘s+Aktuelle Projekte)+ASTA)+Alumni 0.81
IATagung Frankfurt :: 28./ :: Steffen Schilb

47. Final Dendogram Cluster Analysis: Single Linkage Algorithm AG‘s
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
Final Dendogram
AG‘s
Aktuelle
Projekte
ASTA
Alumni
0.42
0.69
0.81
0.00
0.50
1.00
IATagung Frankfurt :: 28./ :: Steffen Schilb

48. Attributes min{0.69;0.92}=0.69 Nearest-Neighboor-Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Single Linkage Algorithm
Attributes
min{0.69;0.92}=0.69
Nearest-Neighboor-Method
Minimum-Distance Rule
Chaining Phenomenon
Isolates Outliners (Most important Attribute)
IATagung Frankfurt :: 28./ :: Steffen Schilb

49. Attributes max{0.69;0.92}=0.92 Furthest-Neighboor-Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Complete Linkage Algorithm
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

50. Attributes 0,5x(0.69) + 0,5x(0.92) = 0.80 Takes mean Distance
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Cluster Analysis: Average Linkage Algorithm
Attributes
0,5x(0.69) + 0,5x(0.92) = 0.80
Takes mean Distance
No Chaining Phenonemon
IATagung Frankfurt :: 28./ :: Steffen Schilb

51. 4 Computer-Based Card Sorting Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting 4
Computer-Based
Card Sorting
IATagung Frankfurt :: 28./ :: Steffen Schilb

52. Some Tools EZSort CardSort Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting
Some Tools
EZSort
CardSort
Advantages and Disadvantages of Computer-Based Card Sorting:
Easier in Analysis
Perhaps difficult to use
Results of Usabiltiy Test of Usort
Vorstellung der einzelnen Tools
IATagung Frankfurt :: 28./ :: Steffen Schilb

53. EZSort Computer-Based Card Sorting: EZSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting: EZSort
EZSort
IATagung Frankfurt :: 28./ :: Steffen Schilb

54. Features Most common Card Sorting Tool Developed by IBM in 1998
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting: EZSort
Features
Most common Card Sorting Tool
Developed by IBM in 1998
USort for Sorting the Cards (Open Card Sort)
EZCalc for Clusteranalysis
Windows-only
IATagung Frankfurt :: 28./ :: Steffen Schilb

55. CardSort Computer-Based Card Sorting: CardSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting: CardSort
CardSort
IATagung Frankfurt :: 28./ :: Steffen Schilb

56. Features Developed in 2003 www.cardsort.net
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting: CardSort
Features
Developed in 2003
Allows only Card Sorting (open and closed)
Analysis with EZCalc
Cross-plattform
IATagung Frankfurt :: 28./ :: Steffen Schilb

57. Other Tools CardZort http://condor.depaul.edu/~jtoro/cardzort/
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting
Other Tools
CardZort
CardSword
WebSort
Advantages and Disadvantages of Computer-Based Card Sorting:
Easier in Analysis
Perhaps difficult to use
Results of Usabiltiy Test of Usort
Vorstellung der einzelnen Tools
IATagung Frankfurt :: 28./ :: Steffen Schilb

58. 5 Card Sorting Variants Card Sorting Variants
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants 5
Card Sorting
Variants
IATagung Frankfurt :: 28./ :: Steffen Schilb

59. Card Sorting Variants Card Sorting with Subgroups
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants
Card Sorting Variants
Card Sorting with Subgroups
Labeling the Contents
Rating the Contents
Advantages and Disadvantages of Computer-Based Card Sorting:
Easier in Analysis
Perhaps difficult to use
Results of Usabiltiy Test of Usort
Vorstellung der einzelnen Tools
IATagung Frankfurt :: 28./ :: Steffen Schilb

60. Card Sorting with Subgroups
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Card Sorting with Subgroups
Card Sorting with
Subgroups
IATagung Frankfurt :: 28./ :: Steffen Schilb

61. Attributes Adding an additional Sorting Step
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Card Sorting with Subgroups
Attributes
Adding an additional Sorting Step
First: Forming Clusters (Subgroups)
Second: Forming Major Clusters
Third: Labeling the (Major) Clusters
Advantages and Disadvantages of Computer-Based Card Sorting:
Easier in Analysis
Perhaps difficult to use
Results of Usabiltiy Test of Usort
Vorstellung der einzelnen Tools
IATagung Frankfurt :: 28./ :: Steffen Schilb

62. Labeling the Contents Card Sorting Variants: Labeling the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Labeling the Contents
Labeling the Contents
IATagung Frankfurt :: 28./ :: Steffen Schilb

63. Labeling the Contents Cards represent Content Descriptions
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Labeling the Contents
Labeling the Contents
Cards represent Content Descriptions
Users label the Contents
On this page, students
register online for their courses.
Advantages and Disadvantages of Computer-Based Card Sorting:
Easier in Analysis
Perhaps difficult to use
Results of Usabiltiy Test of Usort
Vorstellung der einzelnen Tools
IATagung Frankfurt :: 28./ :: Steffen Schilb

64. Rating the Contents Gerry McGovern (2002)
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Rating the Contents
Rating the Contents
Gerry McGovern (2002)
IATagung Frankfurt :: 28./ :: Steffen Schilb

65. Step 1 Step 2 Card Sorting Variants: Rating the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Rating the Contents
Step 1
Step 2
Begriff 1
Begriff 20
Begriff 23
Begriff 2
Begriff 1
Begriff 3
Begriff 4
Begriff 5
Begriff 6
Begriff 8
Begriff 14
Begriff 6
Begriff 7
Begriff 9
Begriff 14
Begriff 10
Begriff 16
Begriff 11
Begriff 19
Begriff 13
Begriff 20
Begriff 15
Begriff 7
Begriff 24
Begriff 23
Begriff 17
Begriff 24
Begriff 1
Begriff 18
Begriff 21
Begriff 22
Begriff 4
Begriff 16
Begriff 25
Begriff 26
IATagung Frankfurt :: 28./ :: Steffen Schilb

66. 6 Conclusion Conclusion
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Conclusion 6
Conclusion
IATagung Frankfurt :: 28./ :: Steffen Schilb

67. Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Conclusion
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

68. Summary Can be done paper-based or computer-based
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Conclusion
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
IATagung Frankfurt :: 28./ :: Steffen Schilb

69. Keep in Mind Only for large Websites Users‘ Tasks are not integrated
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Conclusion
Keep in Mind
Only for large Websites
Users‘ Tasks are not integrated
May capture “Surface” Characteristics only
IATagung Frankfurt :: 28./ :: Steffen Schilb

70. 7 References References
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
References 7
References
IATagung Frankfurt :: 28./ :: Steffen Schilb

71. Links, Books, Articles IAWiki Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
References
Links, Books, Articles
IAWiki Card Sorting
Boxes and Arrows
James Robertson
Donna Maurer
IATagung Frankfurt :: 28./ :: Steffen Schilb

72. Thank you! Card Sorting Variants: Card-Based Classification Evaluation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Card-Based Classification Evaluation
Thank you!
IATagung Frankfurt :: 28./ :: Steffen Schilb

73. 8 Questions and Discussion Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Computer-Based Card Sorting 8
Questions and
Discussion
IATagung Frankfurt :: 28./ :: Steffen Schilb

74. Further Questions? Contact me! Steffen@cardsort.net
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
Card Sorting Variants: Card-Based Classification Evaluation
Further Questions?
Contact me!
IATagung Frankfurt :: 28./ :: Steffen Schilb