1. Overview
We've reimagined how traditional surveys should work in the age of AI. Our new AI moderated survey format helps you quickly gather user insights and improve your product experience. It combines the broad reach of traditional surveys with the depth of a user interview.
Surveys in Sondar.ai feature classic question types like multiple-choice, rating scales, and open text, but with an AI twist, smart follow-up questions that dive deeper into responses. This makes it easy to collect both quick and meaningful insights from your users.
2. Limitations of traditional Surveys
Traditional surveys have long been the go-to tool for gathering user feedback, but they often come with significant limitations.
Lack of Actionable Insights
Most traditional surveys provide broad, generalized data. While useful for spotting trends, they rarely dive deeper into the “why” behind a user’s response. For example, a customer may rate their satisfaction as a 3 out of 5, but traditional surveys don’t follow up to understand the reason behind the score.
Limited Engagement
Standard surveys often feel impersonal and repetitive. Respondents quickly lose interest, which can lead to rushed answers or incomplete feedback. This lack of depth makes it harder to act on the data collected.
3. How does AI solve for these problems?
AI transforms the way surveys work by adding a layer of intelligence that makes feedback more valuable and meaningful, without requiring any extra effort.
AI-Generated Follow-Up Questions
When a user answers a question, AI analyzes their response in real time and generates personalized follow-up questions to dig deeper. Learn more.
For example, if a customer rates a feature as “3/5,” AI might ask, “What could we improve to make this feature more useful for you?”
The "What" and the "Why"
This dynamic approach replaces the need to sift through data manually or set up complex logic. The AI does the heavy lifting, uncovering nuanced insights that might otherwise be missed. You get both the broad scope of a traditional survey and the deep understanding of a user interview.
Humanize the Survey Experience
AI generated follow-up questions feel natural and relevant, as if someone is truly listening and wants to understand more. This personal touch keeps respondents engaged and ensures their feedback feels valued.
4. Popular Use Cases
AI moderated surveys open up endless possibilities for gathering meaningful feedback at every stage of the user journey. Here are some powerful examples of how Sondar surveys can make a difference.
1. Feature Feedback
When you release a new feature, it’s critical to know how users feel about it. With Sondar.ai, you can trigger a survey right after users interact with the feature.
Example: After launching a new search filter on your app, a survey asks, “How useful did you find the new filter?” If a user rates it poorly, AI follows up with, “What challenges did you face while using it?”
2. Post-Purchase Surveys
Understanding the customer experience after a purchase can help boost retention and loyalty.
Example: A survey sent after checkout asks, “How easy was your shopping experience?” If someone mentions issues with payment, AI asks, “What could we improve about the payment process?”
3. User Onboarding
Catch potential drop-offs during onboarding by collecting insights when they matter most.
Example: A survey triggers after users complete an onboarding tutorial, asking, “How helpful was the tutorial?” If feedback suggests confusion, AI follows up with, “What part of the tutorial could be clearer?”
4. Product Usability Testing
AI surveys help you understand how users interact with your product in real-time.
Example: After users test a beta version of your app, a survey collects initial impressions and dives deeper into any areas of dissatisfaction.
5. Guide to setting up AI moderated surveys
👉 Step by step guide on how to create your own AI moderated surveys