The status of a study can be of the following:
The external study URL of your study that you want participants to be direct to. The URL can be customized to add information to match participants in your survey. You can add query parameters with the following placeholders.
{{%PROLIFIC_PID%}}-> Participant Id
{{%STUDY_ID%}}-> This study Id
{{%SESSION_ID%}}-> The session Id
For example, you can define external_study_url to be https://eggs-experriment.com?participant={{%PROLIFIC_PID%}}.
When participants access your study, they start a submission with their unique ID, allowing you to match their responses. You can approve or reject their submission, pay a bonus, or send a message against the unique ID.
Completion codes verify that participants have completed your study as intended while automatically triggering actions based on their responses.
A completion code is a required field consisting of a random string of letters and numbers that participants receive when they complete your study. These codes serve two main purposes:
When participants finish your study, redirect them to:
Multiple codes: You can create as many codes as needed for your study and assign any number of automated actions to trigger when a submission is completed with that code - except when using a custom screening action, which is limited to a single code.
The actions field defines what happens automatically when a participant completes your study with their specific completion code. These are automated tasks that run when a participant submits the code.The list of automated actions are as follows:
filters (required)
Filters allow you to define participant criteria such as age, gender, and country. Learn how to set them under Requirements.
Related guide: Setting up a study on Prolific
Correct a published study if the estimated time is too high
rewards (required)
The reward is the total reward you pay a participant in cents (according to the currency of your account) when you approve a completed submission. We display the reward per hour in our web application by using the reward and estimated time.