Kollect Voice Agent is an open source, self-hostable platform that transforms traditional forms into dynamic AI-powered voice surveys. Designed for businesses and teams, it replaces tedious text inputs with natural spoken conversations. Users simply describe the form they want to build, and the AI generates optimized questions. The core value lies in making feedback collection feel like a real dialogue, not a chore. This conversational approach increases engagement and yields richer, more honest answers.
Traditional surveys suffer from low completion rates and superficial responses. Users tire of typing, leading to skipped questions and vague answers. Kollect solves this by allowing voice-first responses where users speak naturally. The AI listens and detects nuance, tone, and emotion that text alone misses. This captures the full context of feedback, providing deeper insights. For businesses relying on accurate data, this means better decision-making based on genuine user sentiment.
The first major feature is Voice-first responses. Instead of typing, respondents speak into their device. The AI captures not just words but also vocal inflections and pauses, inferring emotional undertones. This non-intrusive method encourages longer, more detailed answers. The benefit is that organizations get qualitative data that feels like an interview transcript, without the overhead of scheduling interviews. It’s a scalable way to collect authentic feedback.
Another key feature is AI-powered generation. Users start by typing a brief description of their survey goal, such as “customer satisfaction after purchase.” Kollect’s AI then automatically formulates a set of optimized questions tailored to that goal. This saves time and leverages best practices in question design. The AI ensures questions are clear, unbiased, and likely to elicit substantive responses. No expertise in survey methodology is required.
Smart follow-ups constitute the third feature. When answers are vague or incomplete, the AI probes deeper just as a skilled researcher would. For example, if a user says “it’s okay,” the AI might ask “What specifically could improve your experience?” This dynamic interaction ensures that every response is fully explored. The result is comprehensive feedback that covers both expected and unexpected angles, reducing the need for follow-up surveys.
Kollect works through a simple three-step process. First, Create: describe your goal in plain language, and AI generates a tailored form. Second, Share: send a link that opens in any browser with one click—no apps or downloads needed. Third, Listen: review transcripts and let AI surface the most important insights. The entire workflow is designed to minimize friction for both the survey creator and respondent. Because it’s self-hostable and open source under MIT license, organizations can deploy on their own infrastructure for full data control.
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Concrete use cases include gathering customer feedback after product launches, conducting employee engagement pulse surveys, and performing market research with target audiences. In each scenario, the conversational format increases response rates and yields honest, nuanced feedback. Product teams can iterate faster with real user insights, while researchers obtain rich qualitative data without manual interviews. The outcome is actionable intelligence that directly informs strategy.
Kollect is ideal for product managers, customer experience teams, researchers, and business founders who need reliable feedback. It runs on any modern browser, requires no credit card to start, and scales from small teams to large enterprises. The open source nature allows customization and integration with existing workflows. In summary, Kollect transforms the mundane experience of form filling into an engaging conversation that delivers honest, deep insights—freeing teams to make data-driven decisions.
Kollect is for businesses, product teams, customer experience managers, market researchers, and any organization that relies on feedback to improve products or services. It’s especially valuable for teams that need honest, nuanced data from their users without the friction of traditional forms. The self-hostable nature also appeals to security-conscious enterprises.