5 reasons people prefer talking to our AI agents rather than a person

1. AI Surveys are more convenient

   People are significantly more likely to complete surveys when they can choose convenient times that align with their schedules. Data shows that nearly 80% of participants submit surveys during the workweek, with peaks on Wednesdays and Thursdays. These routines indicate participants prefer to engage when they are less distracted. By allowing flexible scheduling, AI agents boost compliance and completion rates.

   
   

2. No judgement

   Respondents are more willing to share honest and meaningful feedback when they feel safe from judgement. Research consistently finds that anonymity and confidentiality reduce fear of negative reactions, encouraging openness. Because AI surveys are anonymized and use neutral language, they foster a sense of security and create an environment conducive to sharing valuable information. This is critical to businesses who cannot afford to suppress candid feedback through structural limitations in survey methodology. For example, AI agents also remove the potential for awkwardness, bias, or conflict that can occur in human-led interviews, facilitating a worthwhile discourse.

   
   

3. Speed

   AI survey agents make surveys exceptionally efficient and accessible. Unlike manual surveys or interviews, AI systems generate tailored questions to reduce misunderstanding, adapt to respondent input, incorporate backgrounds and interests, and generate actionable insights during the interview. Faster interviews can decrease pre-interview anxiety and make interviews easier to integrate into participants’ schedules, increasing participation rates and generating broader, deeper, and more constructive recommendations and suggestions.

   
   

4. More insightful questions tuned to background and interests

   AI survey agents can dynamically calibrate questions to participants’ backgrounds and interests to enhance response value. Using natural language processing and machine learning, AI agents analyze user profiles, historical data, and real-time responses to customize prompts to be contextually relevant, even adapting phrasing based on demographics, past interactions, and emotional values. These algorithms fine-tune a personalized dialogue that resonates with respondents and produces richer insights. One research study employed adaptive survey agents and increased completion rates by 21%, yielding open-ended responses 34% longer than static surveys.

   Critically, AI achieves this personalization at scale and speed, processing response data to tailor questions and eliminate manual bottlenecks while boosting data quality. By transforming feedback into strategic narratives, AI adapts to become the interviewer that the participant is most likely to open up to, a process that benefits the respondent by using their time more efficiently in a comfortable setting.

   
   

5. More Specialized

   AI integrates routine and structure, making them well-suited for consistent and standardized interaction. Not only does this help people feel more comfortable compared to traditional human interviewers, but it avoids interviews subtly introducing variability in tone, style, or biases that affect how respondents respond to questions and how candidly they answer. In contrast, AI agents conduct interviews uniformly, ensuring that every participant receives the same experience, which promotes the generalizability and reliability of the data.

   Not only does AI-based consistency help with data analysis, but research shows that standardization reduces uncertainty and social pressure, allowing respondents to focus on their answers rather than interpreting the interviewer’s cues or worrying about judgment. Consequently, standardized AI interactions foster safety, encouraging open and genuine responses.