Create structured survey logic based on specific selections from multiple-choice, scale, or demographic questions. Quantitative Branching ensures participants only see questions relevant to their previous choices, streamlining the survey experience and improving data quality.
By setting up "If/Then" logic, leaders can segment participants into different question paths based on their quantitative data. This prevents participants from encountering irrelevant content and allows for more targeted follow-up.
Setting Up Quantitative Logic
To implement branching, define the "parent" question that will act as the trigger for subsequent steps:
- Identify the specific survey question (e.g., a "Yes/No" or Likert scale question) that will dictate the next step.
- Use the branching tool to assign different follow-up questions to each possible answer choice. For instance, participants who select "Strongly Disagree" can be routed to a feedback box, while those who select "Strongly Agree" proceed to the next section.
- While it is important to ensure every possible answer option has a designated destination, the branching set up in Adaptive Surveysuses a default final path to maintain a seamless flow even if there are errors in set up.
Testing Your Logic
To ensure your branching paths are configured correctly:
- Click the Preview icon.
- Select different answer options to test each "If/Then" path.
- Verify that the survey accurately directs you to the intended branch for each unique selection.