The app essentially uses numerical data of external stressors (stress causing factors) combined with scores based on scales of simplified stress profiles using quantitative methods. As a result, the user is presented with a score on a one-to-ten scale, which informs them about their most probable stress level. The theory behind, and the working principle is the following: stress has been known for long, just like the fact that it can be an important risk factor with many diseases. However, it’s something that’s vary hard to keep track of, or quantify.
The application collects related data and presents the user with their own FeelGood stress profile. The basis of this profile is a stress test very commonly used in modern psychology, the so called Holmes and Rahe stress test. The test assigns points („life change units”) to certain indicator life events of the preceding one year; these points are then used to calculate the most probable frustration level –on a scale of 1 to 10- of the user.
Besides this, the application measures and analyzes a bunch of factors around the user (e.g. weather, humidity, population density, sound pollution, etc.), which are then also taken into account in the feedback regarding the possible effects on the user.