At first glance, conversational research powered by AI may seem similar to online surveys. However, there are game-changing features that are revolutionising the process of collecting insights.
In this article, we share the findings of our internal pilots carried out during the development and testing of our new flagship research solution, Yasna, with our clients.
More meaningful data compared to open-ended questions
As researchers, we often want to include open-ended questions in quantitative studies, such as U&A. However, based on our experience we observed the maximum number of questions per survey is about three. Therefore, we didn't feel comfortable automating a qualitative study by adding a series of open-ended questions. The quality of verbatims just wasn't satisfactory. This has changed substantially this year.The AI moderator goes deeper, delivering complete responses
More insights
We compared the verbatims collected from quantitative surveys and conversational research. Our findings show the responses are not only more granular but also provide more valuable insights, such as usage occasions, problems, and needs.Honest responses on delicate subjects
Our auto-moderator has successfully established trust with the respondents and created a safe space for open and honest communication. The perception of safety stems from the belief that a robot is objective and impartially navigates conversations. Participants appreciate the non-judgmental nature of the auto-moderator, which contributes to their willingness to share personal experiences and insights.Imitating human behaviour for effective responses
What makes our AI moderator so unique is the ability to help collect more meaningful data. The respondents are aware that they are conversing with a machine, but the way the chat works is quite similar to a usual human conversation.The AI moderator sends emojis, adjust questions to previous responses and shows interest to engage the respondent to give detailed answers
Any language – natural or professional
AI moderator can speak many languages. The agent instantly translates the guide and asks questions in the respondent's language. It allows managers to collect consumer feedback globally while sitting in their comfy headquarters.AI moderator speaking a foreign language during the Game Dev interview. The original guide was in English, but the respondent chose the Chinese language to communicate. The agent switched to the respondent's language right away and completed the interview successfully.
Our three-step data-checking approach
Still, as we are recruiting real humans for our studies, the problem of fraudsters may occur. Some of them are not in the mood to give proper answers about the topic, while others want to check the limits of a moderator.