Screener questions support both qualifying logic and conditional logic, so you can send applicants to different questions based on how they answer. Each applicant is only scored on the questions they actually see.
Conditional logic and the qualifying logic settings (May select, Must select and Knockout) are available on all new studies.
Learn more about setting up screener questions
A few things to keep in mind:
You keep the full picture. Unless an applicant chooses a Knockout answer, they stay on your list with an eligibility score, so you still see near-misses. Knocked-out applicants are hidden by default, and you can show them with a filter on the participant table. An applicant who isn't a perfect match on paper can still be insightful to speak with, and the spread of answers gives you a rough read on the market.
Keep every path non-leading. Branching paths can make it easier for applicants to work out which answers a study is "looking for". Use neutral questions and plausible alternative answers on every path, so the route through your screener doesn't give the game away.
Scoring is fair across paths. Eligibility is based on the Must select answers an applicant was shown. Questions they skipped don't count against them. Open-text answers carry no weight in the score. Learn more
Many times, a participant who may not be eligible according to your screeners can be surprisingly insightful to consider speaking with.
How to handle questions that don't apply to everyone
Use conditional logic to skip applicants past questions that don't apply to them. For example, if question 2 only makes sense for people who answered "Yes" on question 1, add a condition to question 1 that skips everyone else past question 2.
If you'd rather keep everyone on the same path, add a "Not applicable" option so every applicant has something truthful to select. Set it to May select if those people can still fit your study, or Knockout if they can't.
Having a holistic view of both eligible & ineligible participants in your list is also added data to show a rough representation of the market or population!
Looking for logic inside your study instead?
Unmoderated studies also support conditional logic between blocks, so you can route participants to different tasks and questions based on their responses once they're in the study. See conditional logic. Screener conditional logic works the same way, but you set it on each screener question in the Recruit step.