An experiment defines the parameters of a study, including the type of study and the data to be evaluated. For example, a MUSHRA study evaluating compressed audio.
Each experiment can have multiple jobs. Jobs determine who is going to evaluate the data, that is, who is going to participate in the study. For example, you may wish to run a pilot study with project members before running a larger study with crowd-sourced raters. This can be achieved by creating two jobs for the same experiment.
When a human rater participates in a study, this creates a session associated with the job. Each session consists of multiple slates that represent a group of evaluated stimuli. The stimuli typically correspond to media files from the dataset.