Edit an already launched study

Use these steps to edit an already launched study. Need to fix a typographical error in a launched study? Want to make changes to a launched study? Are you running longitudinal studies? Don't worry, you can stop a study, make edits, and launch it again as many times as you need.

Plan Availability: All Plans
👥 User roles: Owner, Admins, and Researchers
For more information, see our article on how to find your plan and user role.

 

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Edit an already launched study (Unmoderated)

  • Edits can't be made while the study is live and collecting data. See Make change (Moderated studies) below for the exception.
  • Manually stop the study to make changes at any stage.
  • Study impacts:
    • Deleting questions/answers directly impacts the data collected.
    • Results obtained for the deleted question/answer are automatically removed from the results.
    • Adding new questions/answers after data is collected means new questions collect data from fewer participants.
  • Participant impacts:
    • Edits can't be made while the study is collecting data from participants.
    • Extreme caution is needed before stopping a live study that's collecting data.
    • Active participants in the study will be booted out. To avoid this, allow active participants to finish the study, see stop a study at a specific date and time.
    • Already invited participants trying to access the study will see that it's closed while you're making the changes. Make changes as quickly as possible for the least impact.

 

 

Edit an already launched study (Moderated)

  • You can make changes to an already launched Moderated session.
  • To make changes, the study can be live, but you can't be in an active session.

 

 

Edit longitudinal studies

  • Longitudinal studies are launched repeatedly, in intervals, over long periods of time.
  • When relaunching longitudinal studies, we recommend:
    • Make a copy of the study, instead of relaunching the same one.
    • Create multiple segments, one per wave.
      • You can filter data by segment and differentiate the data in the results.
      • This makes longitudinal studies extremely simple, allowing you to develop continuous evaluation studies with minimal effort.

 

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