• Save
Are users really ready for faceted search?
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Are users really ready for faceted search?

on

  • 6,251 views

Presentation at Oz IA 2008, on Faceted Search Case Study ...

Presentation at Oz IA 2008, on Faceted Search Case Study

Abstract:
Easy content discoverability is a goal for any business. Faceted search is considered an effective interaction model to achieve this. But is this true?

With the dominance of Google, it is also easy to conclude that a simple text box search interface is a familiar and intuitive model for users. But is this also true?

During this session, we will look at search on drive.com.au as a case study. We’ll discuss the challenges of designing for faceted search and how data from the multivariate testing has helped refine the search experience.

Statistics

Views

Total Views
6,251
Views on SlideShare
6,146
Embed Views
105

Actions

Likes
37
Downloads
1
Comments
0

10 Embeds 105

http://butlerhouse.net 50
http://www.thinktag.cn 19
http://www.slideshare.net 16
http://soft.taobao.ali.com 10
http://www.butlerhouse.net 5
http://www.e-presentations.us 1
http://www.health.medicbd.com 1
http://static.slideshare.net 1
http://xianguo.com 1
http://www.linkedin.com 1
More...

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Hello everyone and thanks for having me. My name is … Pleased to be here today to discuss the topic of faceted search and to share a case study on a recent faceted search project.

Are users really ready for faceted search? Presentation Transcript

  • 1. Are users really ready for faceted search? Elizabeth Pek Oz – IA Conference / 2008
  • 2.  
  • 3. Content discovery = GOLD!
  • 4. What we’ll discuss…
    • In brief: Faceted search
    • Case study: Our results
    • Are users really ready for it?
  • 5. What’s faceted search?
  • 6. This integrated searching and browsing experience lets users begin with a simple keyword search , but then offers useful next steps and insights into the content and its organization. Peter Morville
  • 7. Common Search Behaviour Taken from: Peter Morville’s presentation at IA Summit 2008 http://www.slideshare.net/morville/search-patterns
  • 8. Narrow = New search
  • 9.  
  • 10.  
  • 11. Case study: Drive.com.au
  • 12. Buyers, sellers, car enthusiasts Dealer & display advertising 860K UBs / 24 Million PIs
  • 13. The old search…
  • 14. The old search…
  • 15. Project Goals by 10% by 5%
  • 16. Design constraints Ad requirements Databases New Cars Used Cars Medium Rectangle Ad
  • 17. Design challenges
    • Faceted navigation
  • 18. Design challenges Search suggest Starting point or
  • 19. Drop-downs
  • 20. Google-esque
  • 21. Results for both
  • 22. 80% 20% Drop-downs Google-esque
  • 23. New car PIs Search results New car leads 60% 20% 6% 15% Used car PIs Search results Used car leads
  • 24. Google-esque = 21% more PIs Drop downs Google-esque
  • 25. Google-esque = 50% less leads Drop downs Google-esque
  • 26. ute ,   wagon ,   vw ,   diesel , convertible ,   prado , wrx , xr6 , van , coupe , utes , 4wd , automatic , 4x4 , landrover ,   volkswagon , lpg , hatch , black,   sport
  • 27. Search box not recognised!
  • 28. Refine panel not obvious
  • 29. Google-esque revised
  • 30. Hybrid
  • 31. 60% 20% Google-esque 20% Drop-downs Hybrid
  • 32. Hybrid = 20% more PIs Drop downs Google-esque Hybrid
  • 33. Hybrid = 4% more leads Drop downs Google-esque Hybrid
  • 34. Are users really ready for faceted search?
  • 35. Expert searcher Novice searcher No category knowledge High category knowledge
  • 36.
    • I’ll have the BMW X5
    • Don’t bother telling me about Mercedes
    • Get me those details pronto!
    Expert searcher Novice searcher No category knowledge High category knowledge
  • 37.
    • Wouldn’t have a clue dear – a small car?
    • What would you suggest?
    • Show me the possible options
    Expert searcher Novice searcher No category knowledge High category knowledge
  • 38. How do I do this mummy? Expert searcher Novice searcher No category knowledge High category knowledge
  • 39. Finally, they’ve got faceted search! Now I can get on with it! Expert searcher Novice searcher No category knowledge High category knowledge
  • 40. Least ready Most ready Learns category Learns interface No category knowledge High category knowledge Novice searcher Expert searcher
  • 41. Key learnings….
    • Faceted search is effective
    • Designing for search is a challenge
      • Test, test & more tests
      • Change one at a time
      • Don’t expect perfection - Refine, refine, refine
    • Users are humans 
      • Don’t like change!
      • Research is key
      • Design for middle ground
  • 42. References & resources
    • Mor ville P , Search Patterns Presentation at IA Summit 2008: http://www.slideshare.net/morville/search-patterns
    • Mor ville P , Faceted Navigation Collection of Patterns: http://www.flickr.com/photos/morville/collections/72157603789246885/
    • Turbek S , Advancing Advanced Search Article on Boxes and Arrows: http://www.boxesandarrows.com/view/advancing-advanced
    • Ferrara J , Search Behavior Patterns Article on Boxes and Arrows: http://www.boxesandarrows.com/view/search-behavior
    • Wildmuth B.M. (2004), The effects of domain knowledge on search tactic formulation Journal of the American Society for Information Science & Technology, 55(3), 246-258
  • 43. Elizabeth Pek email: [email_address] slides: http://www.slideshare.net/epek Thanks also to these contributors… ✪ James Fitzgerald : Senior Product Manager, Drive ✪ The UX Team & CSU
    • Thank you!