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Automatic discovery of common factors identifying selected session (e.g. with struggle)

When a struggle is found, an analyst can typically create search criteria for finding all session where that struggle (or any other behavior) occurred. Howeverm then it is typically very difficult to manually find any common factors identifying those sessions among all sessions, hence root-cause analysis and finding the cure for the problem may be a lenghty process.

There shall be a function available when search results are presented - for analyzing the result set and automatically finding any common denominators among all events, dimensions, session attributes, and other available data (excluding search criteria), and assessing if they are allowing the analyst to uniquely identify those sessions (within the same time frame) - e.g.

For the search criteria:

  • Free text CONTAINS "error en el pago"
    AND
  • Event - purchase completed - does not exist in session

95% of selected sessions have the following characteristics:

- browser (session attribute): chrome
- browser version (session attribute): 65
- device type (dimension): tablet
- language (dimension): es_MX
- product (event) : car insurance

That represents 15% of all session in the timeframe (number of sessions in the search results to all session in the same timeframe)

Among remaining sessions, 3.5% had the same characteristic (percentage of sessions that had the same characteristics but were NOT part of the analyzed resultset).

  • Avatar32.5fb70cce7410889e661286fd7f1897de Guest
  • Oct 8 2018
  • Needs review
How will this idea be used?

It will speed up any kind of root-cause analysis helping to find common factors among session and allowing the analyst/support to focus their investigation on common factors - very hard to be found manually without inspecting every affected session.

What is your industry? Non-Industry Specific
What is the idea priority? Medium
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