This model provides a method for scoring employment candidates based on a list of
evaluation criteria. It helps to surface criteria and subjective judgments with its simple and transparent scoring method.
Fully Customizable
Using our automated modeling technology you can create a report that exactly suits your needs. Enter opportunities criteria on a series of simple online forms. There’s nothing to install or learn. Each step is explained, and serves as a prompt for items you may not have considered.
Features
This model asks you to enter:
- A list of candidates
- A list of evaluation criteria
- Scores for each opportunity on each criterion
Easy to Use
Once downloaded, your Candidate Evaluation model is presented in a logical and intuitive format in Excel or Google Docs. Your spreadsheet contains:
- A carefully arranged layout
- Excel comments explaining each table
- Color-coding for data entry
- Easy modifiable data and preferences
Background:
This model is inspired by research in cognitive psychology on how people make decisions, as summarized in Rational Choice in an Uncertain World, by Reid Hastie and Robyn M. Dawes (2001). Hastie and Dawes recommend replacing subjective integration of multiple decision criteria with weighted linear models of the general type used in this application.
Some people have an uncanny ability to pick good performers. People do a reasonably good job of evaluating one performance dimension at a time; but they are less effective at integrating several performance criteria. This conclusion holds across many if not all domains of human decision-making.
Research shows that many objective measures of performance predict future performance better than subjective opinions from personal interviews. This conclusion holds for decisions regarding employment, school admissions, and promotion, when follow-up studies compare actual performance.
When using quantitative measures of potential, users must ensure that criterion weights and candidate ratings reflect sound judgments. Othewise the quantitative analysis can take on an undeserved life of its own when the model does not capture important aspects of the decision process.