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Prepared by:
Amy Cueva – Founder, Chief Experience Officer
October 19, 2009
Search & Filter Interface Round Up
EXAMPLES & BEST PRACTICES
Mad*Pow Fact Sheet
2
Experience Design Studio:
Product Design
Interaction Design
Contextual Inquiry
Ethnographic Research
Task Flow Analysis
Usability Testing
Information Architecture
Visual Design
Prototyping
Interactive Media
E-business Strategy
Market Research
Development
Founded:
2000 by Amy Cueva and Will Powley
Headquarters:
Historic Portsmouth, NH
Staff:
28 Employees
Officers
Directors
Designers
Creative Technologists
Strategists
Salespeople
Administrators
Mad*Pow Clients
3
4
Search & Filter: Topics
5
Types of Searches
Key Considerations
Search Initiation and Navigation
Results Presentation
Relevancy, Personalization and Taking Action
Questions?
Types of Searches
6
How do people search?
Search Engines
Embedded Site Search
E-Commerce Search
Intranet/Local Search
Online, mobile, desktop
applications, kiosk, phone
interfaces, voice interfaces,
asking a live person
What are they looking for?
A phone number
A sweater
A plane ticket
A document
A song
A person
Any piece of information
Types of Searches
7
I want to…
Find a specific piece of information: There is one answer.
A zip/postal code, the temperature in a location, a specific person
Find and compare pieces of information: There is more than one
answer.
Movie times, a type of person, restaurants, books on a topic
Gain a level of understanding, do research and make a
decision:
The answer depends on the person doing the search.
Where should I go on vacation? What do these symptoms mean?
What is the best…
When designing a search interface, consider:
8
Who is visiting? What do they need?
What makes audience members different? Are there any
important characteristics about them to consider?
Have they been here before? What have they done? Do we know
anything about them? Can that be used to make the results more
relevant?
How did they get here? What lead up to this interaction? What is
driving them?
What are they looking for? How will they expect to find it? (Search
Terms)? Where will they want to look?
What do they want to see? What content or functionality would be
most useful relevant to them? Will they need any related information?
When designing a search interface, consider:
9
Who is visiting? What do they need?
How will they know when they’ve found what they are
looking for? How will they compare results? What are their decision
making attributes? What’s important/most relevant to them?
How will they want to interact? What would the ideal interaction
be? Will they sort, refine results, zoom in/out, navigate topically,
compare, “pogo-stick” (J Spool), save, favorite, rate, comment, share,
email, print?
How will they use this information? What will they need to do
with it?
What will they do after? How can that be supported?
Will they be back again? Will they need the information from this
search?
Would they want search results like this on a regular basis?
What can be done? What will YOU do?
10
What can be done to understand the visitor?
Search logs, site stats, analytics
Site survey/customer survey
User research: User interviews, contextual inquiry, observation
Usability testing: before, after, and during
How early can you do these things? How often? Can they be part of an
ongoing process?
What can be done? What will YOU do?
11
Making it happen…
What is it? What are the priorities? How do you determine priorities?
What should be done in the future?
What can be done right now?
What can be done with the technology? What can’t?
Who are you working with? How can you collaborate?
Is your search effective? How will you measure success?
How will search relevancy be monitored and improved on a regular
basis?
Interface & Interaction Design Checklist:
12
Home (pre-search):
What will be shown?
Most recent searches?
Most recently clicked through on?
Most popular?
Recommended searches?
Interface & Interaction Checklist:
13
Search Box:
Placement, priority, design, labeling
Focus, return, tabbing
Pre-population,
Type ahead, spell check, interactivity, related searches
“Codified” searches
Search Terms:
What terms should be anticipated?
Will there be a spell check/did you mean feature?
Interface & Interaction Checklist:
14
Display of Results:
What content/media will be displayed?
Will there be content available on hover?
Will the content be expandable/collapsible?
Will related content be shown?
Can a click through be avoided by showing the right information in
the results?
How will the results be organized?
How will the results be prioritized?
How will they be filtered and sorted?
Will topical navigation or faceted navigation be available?
Interface & Interaction Checklist:
15
Manipulation of Results/Interaction with Results:
Sort, filter, zoom in/out, navigate
Organize, Drag & drop,
Take action, save, share, email print
Rate, comment, contribute, suggest
Show similar/more like this, remove
Browse, hover, click through/view
How many results per page, pagination
How will the content load/flow in?
Familiar Search Interfaces
16
Newer Search Interfaces
17
Newer Search Interfaces
18
Newer Search Interfaces: Aggregators/Federated Search
19
Aggregators/Federated Search
20
Peek-a-boo Search
21
Type Ahead Search
22
Advanced Search
23
Faceted Navigation & Filters
24
Faceted Navigation & Filters
25
Faceted Navigation & Filters
26
Faceted Navigation & Filters
27
Pagination
28
“Zoom In” and “Zoom Out”
29
Information Visualization
30
Information Visualization
31
Information Visualization
32
Information Visualization
33
Information Visualization
34
Information Visualization
35
Results > Detail Browse
36
Results > Detail Browse
37
Results > Detail Browse
38
Results > Detail Browse
39
Results > Detail Browse
40
Results Presentation: Granularity Levels
41
Results Presentation: Federated Search Results
42
Results Presentation: Federated Search Results
43
Results Presentation: Federated Search Results
44
Results Presentation: Federated Search Results
45
Results Presentation: Rich Results Presentation
46
Results Presentation: Rich Results Presentation
47
Results Presentation: Presentation Options
48
Relevancy and Taking Action: Relationships & Nearness
49
Relevancy and Taking Action: Relationships & Nearness
50
Relevancy and Taking Action: Community Tagging, Rating, and Ranking
51
Relevancy and Taking Action: Implicit vs. Explicit Personalization
52
Relevancy and Taking Action: Implicit vs. Explicit Personalization
53
Relevancy and Taking Action: Individual Manipulation of Results
54
Relevancy and Taking Action: Individual Manipulation of Results
55
Relevancy and Taking Action: Individual Manipulation of Results
56
Relevancy and Taking Action: Saving and Sharing Results
57
Relevancy and Taking Action: Generating Results Feeds
58
Questions?
59

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Search and Filter Interface Round Up - Userability Marathon 2009 - Amy Cueva

  • 1. Prepared by: Amy Cueva – Founder, Chief Experience Officer October 19, 2009 Search & Filter Interface Round Up EXAMPLES & BEST PRACTICES
  • 2. Mad*Pow Fact Sheet 2 Experience Design Studio: Product Design Interaction Design Contextual Inquiry Ethnographic Research Task Flow Analysis Usability Testing Information Architecture Visual Design Prototyping Interactive Media E-business Strategy Market Research Development Founded: 2000 by Amy Cueva and Will Powley Headquarters: Historic Portsmouth, NH Staff: 28 Employees Officers Directors Designers Creative Technologists Strategists Salespeople Administrators
  • 4. 4
  • 5. Search & Filter: Topics 5 Types of Searches Key Considerations Search Initiation and Navigation Results Presentation Relevancy, Personalization and Taking Action Questions?
  • 6. Types of Searches 6 How do people search? Search Engines Embedded Site Search E-Commerce Search Intranet/Local Search Online, mobile, desktop applications, kiosk, phone interfaces, voice interfaces, asking a live person What are they looking for? A phone number A sweater A plane ticket A document A song A person Any piece of information
  • 7. Types of Searches 7 I want to… Find a specific piece of information: There is one answer. A zip/postal code, the temperature in a location, a specific person Find and compare pieces of information: There is more than one answer. Movie times, a type of person, restaurants, books on a topic Gain a level of understanding, do research and make a decision: The answer depends on the person doing the search. Where should I go on vacation? What do these symptoms mean? What is the best…
  • 8. When designing a search interface, consider: 8 Who is visiting? What do they need? What makes audience members different? Are there any important characteristics about them to consider? Have they been here before? What have they done? Do we know anything about them? Can that be used to make the results more relevant? How did they get here? What lead up to this interaction? What is driving them? What are they looking for? How will they expect to find it? (Search Terms)? Where will they want to look? What do they want to see? What content or functionality would be most useful relevant to them? Will they need any related information?
  • 9. When designing a search interface, consider: 9 Who is visiting? What do they need? How will they know when they’ve found what they are looking for? How will they compare results? What are their decision making attributes? What’s important/most relevant to them? How will they want to interact? What would the ideal interaction be? Will they sort, refine results, zoom in/out, navigate topically, compare, “pogo-stick” (J Spool), save, favorite, rate, comment, share, email, print? How will they use this information? What will they need to do with it? What will they do after? How can that be supported? Will they be back again? Will they need the information from this search? Would they want search results like this on a regular basis?
  • 10. What can be done? What will YOU do? 10 What can be done to understand the visitor? Search logs, site stats, analytics Site survey/customer survey User research: User interviews, contextual inquiry, observation Usability testing: before, after, and during How early can you do these things? How often? Can they be part of an ongoing process?
  • 11. What can be done? What will YOU do? 11 Making it happen… What is it? What are the priorities? How do you determine priorities? What should be done in the future? What can be done right now? What can be done with the technology? What can’t? Who are you working with? How can you collaborate? Is your search effective? How will you measure success? How will search relevancy be monitored and improved on a regular basis?
  • 12. Interface & Interaction Design Checklist: 12 Home (pre-search): What will be shown? Most recent searches? Most recently clicked through on? Most popular? Recommended searches?
  • 13. Interface & Interaction Checklist: 13 Search Box: Placement, priority, design, labeling Focus, return, tabbing Pre-population, Type ahead, spell check, interactivity, related searches “Codified” searches Search Terms: What terms should be anticipated? Will there be a spell check/did you mean feature?
  • 14. Interface & Interaction Checklist: 14 Display of Results: What content/media will be displayed? Will there be content available on hover? Will the content be expandable/collapsible? Will related content be shown? Can a click through be avoided by showing the right information in the results? How will the results be organized? How will the results be prioritized? How will they be filtered and sorted? Will topical navigation or faceted navigation be available?
  • 15. Interface & Interaction Checklist: 15 Manipulation of Results/Interaction with Results: Sort, filter, zoom in/out, navigate Organize, Drag & drop, Take action, save, share, email print Rate, comment, contribute, suggest Show similar/more like this, remove Browse, hover, click through/view How many results per page, pagination How will the content load/flow in?
  • 19. Newer Search Interfaces: Aggregators/Federated Search 19
  • 24. Faceted Navigation & Filters 24
  • 25. Faceted Navigation & Filters 25
  • 26. Faceted Navigation & Filters 26
  • 27. Faceted Navigation & Filters 27
  • 29. “Zoom In” and “Zoom Out” 29
  • 36. Results > Detail Browse 36
  • 37. Results > Detail Browse 37
  • 38. Results > Detail Browse 38
  • 39. Results > Detail Browse 39
  • 40. Results > Detail Browse 40
  • 42. Results Presentation: Federated Search Results 42
  • 43. Results Presentation: Federated Search Results 43
  • 44. Results Presentation: Federated Search Results 44
  • 45. Results Presentation: Federated Search Results 45
  • 46. Results Presentation: Rich Results Presentation 46
  • 47. Results Presentation: Rich Results Presentation 47
  • 49. Relevancy and Taking Action: Relationships & Nearness 49
  • 50. Relevancy and Taking Action: Relationships & Nearness 50
  • 51. Relevancy and Taking Action: Community Tagging, Rating, and Ranking 51
  • 52. Relevancy and Taking Action: Implicit vs. Explicit Personalization 52
  • 53. Relevancy and Taking Action: Implicit vs. Explicit Personalization 53
  • 54. Relevancy and Taking Action: Individual Manipulation of Results 54
  • 55. Relevancy and Taking Action: Individual Manipulation of Results 55
  • 56. Relevancy and Taking Action: Individual Manipulation of Results 56
  • 57. Relevancy and Taking Action: Saving and Sharing Results 57
  • 58. Relevancy and Taking Action: Generating Results Feeds 58

Notes de l'éditeur

  1. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  2. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  3. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  4. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  5. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  6. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  7. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  8. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  9. Type ahead search Faceted navigation and filters Pagination options Results “Zoom in” and “zoom out” Options for browsing from results to details and back
  10. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  11. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  12. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  13. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  14. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  15. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  16. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  17. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  18. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  19. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  20. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  21. Results presentation: Federated search results presentation Presentation of different asset types Information visualization Result level: Titles, overviews, groups and line items. Rich/innovative results presentation
  22. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  23. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  24. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  25. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  26. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  27. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  28. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  29. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  30. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds
  31. Relevancy, personalization and taking action: Information relationships and nearness Community tagging, rating, and ranking Implicit personalization via behavior tracking and pattern analysis Explicit personalization via profile building and “persistent filters” Recommended searches Individual manipulation of results Saving and sharing results Generating results feeds