UX Of Search - London IA Redux

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UX Of Search - London IA Redux

  1. 1. The UX of Search London IA in a Pub October 14th, 2009 Stuart Cruickshank gaijinstu@gmail.com @gaijinstu
  2. 2. What I have learned about search... Pagination sucks
  3. 3. It’s everywhere! Google Bing Amazon Ask Yahoo! Flickr Yahoo! search pagination design pattern
  4. 4. Problems with pagination Disjointed experience (Scroll, click...wait...scroll, click...wait...) “Which page was that result on?!” Accessibility issues Clicking small arrows/numbers Screenreader must re-read text at start of the page
  5. 5. My first stop on Google
  6. 6. Is it really a problem? Organic Ranking Visibility (Percentage of participants looking at a listing in this location) Rank 1    100% Rank 2    100% Rank 3    100% Rank 4    85% Rank 5    60% Rank 6    50% Rank 7    50% Rank 8    30% Rank 9    30% Rank 10 20% Source: prweb.com
  7. 7. How can we improve this experience?
  8. 8. 1. Better results Improved algorithms Immediate filtering of results Autosuggest Faceted search Reductive search Google Experimental : Preferred sites
  9. 9. 2. Better search interface “Endless scrolling”
  10. 10. Visual browsing tools CoolIris
  11. 11. Visual browsing tools Viewzi
  12. 12. Visual browsing tools Google Fast Flip
  13. 13. Visual browsing Apple
  14. 14. Can you imagine... + Endless scrolling + Highlighted preferred sites + CoolIris-style image searching
  15. 15. What I have learned about search... Folksonomies suck (Sometimes)
  16. 16. Flickr
  17. 17. Flickr
  18. 18. Flickr Search interface: yes! Search results: no!
  19. 19. Getty Images Catalyst
  20. 20. What’s the lesson? Unguided folksonomies are dangerous
  21. 21. What I have learned about search... Folksonomies rock (Sometimes)
  22. 22. Delicious - A guided folksonomy
  23. 23. Delicious A user generated search engine?
  24. 24. The flaw in my theory... Order by no. of times bookmarked?!
  25. 25. Google to the rescue
  26. 26. What’s the lesson? Guided folksonomies are beautiful (potentially)
  27. 27. How do we improve search experience? Improved algorithms User generated suggestions e.g. Delicious Improved interfaces e.g. CoolIris
  28. 28. Thanks!

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