One of the most powerful features of Sondar.ai is its ability to generate AI-generated follow-up questions. This capability ensures your surveys don’t just collect surface-level feedback but dig deeper into user sentiments and experiences.

Dynamic Relevance:

The AI intelligently analyzes a respondent’s answers and crafts a context-aware follow-up questions. This approach ensures that the follow-up is always relevant and encourages the respondent to elaborate further.
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​Examples:

• If a user provides a low rating in a Rate Block, the AI might ask, “What specifically could we improve to meet your expectations?”

• If a respondent selects multiple options in a Multi-Select Block, the AI could ask, “Which of these options is the most important to you, and why?”

These tailored questions not only enrich your data but also make respondents feel heard and understood. By gathering more detailed and actionable insights, you gain a clearer understanding of customer needs, frustrations, and motivations.
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Choose how in-depth you want the follow-up to be. The AI can be configured to ask 1, 2, or even up to 4 follow-up questions, giving you control over the level of detail you wish to uncover.

By default, the AI asks follow-up questions that are directly relevant to the user’s response. However, you can guide the AI by adding prompts to steer its focus.

For example, if you want feedback on pricing specifically, you could set a prompt like, “Ask how they feel about the cost of the product.” This ensures that the AI prioritizes insights aligned with your goals.