ia summit08 wa slides
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Web Use Recorders: The future of web analytics?TRANSCRIPT
The future of web analytics:Inferring User Intent from Session Replays
Dustin Chambers & Dick HorstUserWorks inc.
Time Technology Visualization Theory $
1994 Server Logs Raw data What are people doing? Looking at?
Web Counter Traffic count How many visitors?
1996
1998 Web Log Analysis Graphs & Charts Trend $200 M
ROI (marketing)
2000 Dashboard display Ease of monitoring
Page Tagging (JavaScript) Validity
2002 Dashboard display
KPI's $350 M
2004 Page overlay Web Analytics 2.0
X & Y Page overlay Applied context
2006 Heatmaps
2008 X&Y/time Session replay Behavioral analysis
$930 M
2010 Integrated triangulation
IFT? $1 Billion+
First source of web use data
86.42.132.114 - - [31/Oct/2005:18:15:16 -0500] "GET /styles/style.css HTTP/1.1" 200 5194 "http://www.example.com/links/links.php?cat=css" "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.7.12) Gecko/20050915 Firefox/1.0.7"
Early attempts to visualize data
Dashboard
Page tagging
Google Analytics
-Google Analytics
Heat Maps
Page Overlay
-CrazyEgg
Hover Map
Session replay e.g.
Providers? Cost?
RobotReplay – Freewww.robotreplay.com
ClickTale – Free - $99/monthwww.clicktale.com
TeaLeaf - $20,000+www.tealeaf.com
How is this any better?
How do we use it?
Alternative to eye-tracking?
“The data suggest that there is a very strong relationship between gaze position and cursor position.”
“This implies that we can use an inexpensive and extremely popular tool as an alternative of eye-tracking systems, especially in web usability systems.”
-Carnegie Mellon, 2001
Information Foraging Theory
“What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”
-Herb Simon (Nobel Prize Winner)
Consider the anecdotal evidence
• “Just by looking at the way a mouse moves, I can tell whether you are reading a webpage or not.” “I can tell because when you read a webpage, you do one of two things. You either shove the mouse off to the right so it is out of the way, or you will walk down the page with your mouse.”– Dr. Ted Selker, MIT Media Lab
Ambiguity
“Slow and arched trajectories as users move their mouse would indicate an ambiguous state of mind.”
-MIT Media Lab
Are you experienced?
“People are extremely good at remembering graphic design. So when you act like you know where you are going on a place where you have no reason to know, then we know you have been there before.”– Dr. Ted Selker, MIT Media Lab
Web Analytics 2.0
-Avinash Kaushik
Web Analytics 2.0
• Apply Context• Segment• Triangulate/Validate
ExamplesInferring user intent using the latest web analytic technology with the latest theory
What’s next?Bleeding-edge technology
Future Implications…
Integrated Triangulation
Surveys– Why are you here?– Where you able to complete?– Why not?– How satisfied?
Unmoderated remote usability testing
Enhanced Segmentation
Filter by:– Task completion– Satisfaction rating– User intent– Problem encountered– Time on task– Search term