Use Case


Problem Statement

  • A recruitment company had an online application questionnaire for recruitment of new staff
  • The questionnaire was compiled by psychologists with limited statistical training
  • Although only 40 questions long, many applicants gave up halfway during the process
  • In credit applications the process is worse, often needing some 80 pieces of information to take a decision

Brain Everywhere Solution

  • Sue gave an analysis of the questions and ranked them for relevance. A new questionnaire was made with fewer questions and Sue was used to determine suitability instead of the psychologist’s methodology.

Metrics Gathered

  • The historical data of 40 questions and the suitability were fed into Sue
  • Once Sue had determined the importance of the various questions a new model was made with only 21 questions – approximately half.

Success and Improvements

  • The length of the questionnaire was halved
  • The number of abandoned questionnaires reduced by more than half
  • By reducing statistical noise, precision improved by 10%

Implementation Timeline

  • 1 Day

Brain Everywhere Similar Possible Use Cases

Credit decisions, targeted marketing, fitting of financial profiles to products, application selections

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