Create dynamic survey logic based on responses to open-ended comment boxes. By utilizing Engage with AI Scoring or Analyze, leaders can automate participant paths based on the substance of their feedback rather than predetermined multiple-choice options.
Qualitative branching enables deeper, more organic conversations by analyzing written text in real-time. Instead of manual categorization, the AI evaluates comments to determine the most relevant follow-up path.
Setting Up Logic using AI Analyze
When using an Engage with AI Analyze card, the AI evaluates whether specific conditions within a response are met.
- Condition Logic: The AI returns a "true" or "false" result based on the content (e.g., checking if a response mentions "challenging student behavior").
- Branching Path: If the result is "true," the participant can be directed to a specific brainstorming step. If "false," they proceed to a general follow-up question.
Setting Up Logic using AI Scoring
Alternatively, use a Scoring card to direct the AI to rate a response based on a specific factor. The editing interface includes complexity, impact, and sentiment as default options, but users can input other factors that better suit their learning goals.
- Score-Based Paths: Branching is triggered by specific score ranges (e.g., high vs. low), allowing you to tailor the experience for participants based on how their responses were scored.
Testing Your Logic
To ensure your branching paths are configured correctly:
- Click the Preview icon.
- Input sample comments into the open-ended box.
- Verify that the survey directs you to the intended branch based on your input.