Website search is a powerful contributor to user experience. Search applications can be used to deliver dynamic, personalised content and effective website search can dramatically increase conversions.
This talk presents a number of techniques for successful website search, illustrated with case study demonstrations from the University of Salford, Skype, UCL and more.
8. CSIRO research project - 20 years in dev
Advanced technology
◦ Ranking algorithm
◦ Contextual navigation
◦ Early binding lock/key
◦ Fine Tune algorithm
Rapid customisation
Search any system
Professor David Hawking
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10. “More than half measure ROI through incr
eased site usage, while 43% benchmark a
ccording to increased sales.”
Econsultancy Site Search Survey Report
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11. Monetisation of site
Funnelback Best Bet feature
Context aware results
Personalised, targeted content
A better search experience speeds up
decision making and speed to purchase
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12. Searchers are successful in finding what they
seek 50% of the time or less.
◦ 2001, IDC, “Quantifying Enterprise Search”
More than half cannot find the information
they need using their Enterprise search
system
◦ 2011, MindMetre/SmartLogic, “Mind the Enterprise
Search Gap”
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13. Virtual deployment
3 million documents and counting
Full disaster recovery in <10 minutes
Intelligently aggregating several systems
1000‟s of websites
Research database
Documentum
SharePoint
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14. “Search-based applications … deliver a
purpose-designed user interface tailored to
support a particular task or workflow.”
◦ 2010 how IDC describes search-based applications
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15. Courses are a Universities „product‟
A separation between course and website results
Funnelback crawling website and databases
Presenting „compare the market‟ for courses
A better search experience speeds up decision
making and speed to purchase
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17. Engage through a curated and intuitive journey
Bring simplicity to chaos
Provide human sensibilities during the process
Create an emotional bond through search
intimacy
Design must touch every aspect of the UX
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21. Gain a true understanding of the problem
Breaking it down into small „chunks‟
Delivering in phases
Iterative testing throughout
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22. Combining Funnelback‟s advanced technology
◦ Query blending of the results set
◦ Fine tune
With advanced design
To create enviable navigation paths
◦ Advanced auto-complete
◦ Faceted navigation
◦ Context aware results
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23. The biggest challenge is often normalising
results from many systems into one result set
Is not straightforward
Is not solved via a big-bang approach
Requires a lot of planning
Requires significant input from the data‟s owner
But…….it can be successful
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