2. Our Organization
• Harvard University
• Many schools (HMS, HLS, HKS, …)
Harvard Business School (HBS)
ITG, DRFD, MBA, Exec Ed, M&C, …
Knowledge & Library Services (KLS)
Information Management Group
Metadata/Taxonomy
Information Lifecycle Management
Analytics
Search & Findability (== Ravi)
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3. Agenda
• Background
• Three generations of analytics tools
• Query Log Reports
• JeffTrends
• Hosted solution
• Using analytics
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4. Background
• In the beginning…
• OOTB search engine
• No optimization, no customization
• Fraction of HBS content indexed / searchable
• Proliferation of different search tools
• User sentiment
“Search sucks”
“Why can‟t we just get Google?”
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7. Analytics Needed…
• Provide insight into:
Impact of UI changes
Behavior of search users
needs, wants, give a „face‟ to visitors
• Reflective, not predictive
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8. Common Metrics to Track
• Visitor Segmentation
• Visits
• Top Entry/Exit Pages
• Task Completion Rates
• Visitor Primary Purpose
• Query Analysis
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9. Top search terms
• Do they have good results?
• Any with no-hits?
• What‟s the click-thru rate ?
• What are the referrer pages ?
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10. Analytics: Implementation
• Query Log Reports
• Record additional data as needed
• Refinement usage
• Best bets click-thru
• Originating site
• Generate reports from logs
• JeffTrends
• Collect data with JavaScript
• Record to web server log
• Generate reports from logs
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19. Using Analytics: The Process
• Collect Data
• Record data (reports)
• Test improvement strategies
• Implement improvement
• Measure results
• Repeat process
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20. Using Search Analytics
• Add/remove refinement options
• Add synonym-like functionality
• 5-2423 (617) 495-2423
• Date sorts
• Taxonomy development
• Feed Best Bets
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22. Conclusion
• Getting the most out of your search engine
• Search is only as good as content
• Content gaps/content development/design
• Answer “What if …?” questions
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23. Thank You
• Questions?
searchguy@hbs.edu
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