AI Conversational surveys with real time follow ups
Duonut goes beyond traditional surveys by engaging customers with real-time, AI-generated follow-up questions. The AI is trained using your URL or internal docs. Easily embed it in your product flow to receive instant, AI-generated summaries of user responses.
Say goodbye to basic NPS surveys! Hi PH family, Your users are being flooded with NPS surveys that they have no good reason to respond to. Most businesses rely heavily on surveys for customer feedback, yet the Industry average survey response rate is mere 1% to 4%. They provide businesses with superficial feedback at best. Asking the right question to the right person at the right time matters! At Duonut, we advocate a new approach: identify the specific cohorts of users that
I understand that it is about enhancing the dialogue experience with dedicated customer service based on the NPS tool. This can help users better express why they like or dislike my product. However, one question is, how can we improve users' patience with products they dislike? For example, if I browse a product and rate it 3 stars, and it asks me why I gave a low score, to be honest, I might not necessarily respond.
This could streamline my feedback collection. How do you ensure the AI's accuracy in real-time?
This is a great area ready for disruption. The direction is clear and interesting. I would encourage the team to move on to phone/video interviews as well, which is where extracting insights becomes really complicated and where users talk with the most detail. We've worked in similar (smaller) projects for clients wanting to aggregate customer product reviews, happy to share our learnings. Best of luck team!
Hey @ramya_bhaskar, great product! You call it AI chat bot. Do I understand correctly that the AI part is the question generation and what does the chat bot do?
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.