Yasna

Yasna is an AI-powered conversational research platform that automates the process of conducting qualitative interviews at scale. Its core value proposition is delivering human-like quality in interview moderation with the speed, efficiency, and consistency of a machine, enabling researchers to gather deep insights from hundreds of participants in a matter of hours rather than weeks. It bridges the gap between traditional, labor-intensive qualitative methods and broad quantitative surveys, offering a qual-quant hybrid approach for richer, more contextual data.

Key features: The platform can conduct text-based interviews on any topic, adapting its language and tone to suit diverse audiences and supporting multiple languages. It autonomously manages the entire interview flow, asking relevant follow-up questions based on previous answers to probe deeper, much like a skilled human moderator. After data collection, Yasna automatically processes the conversations, generating comprehensive reports, summaries, and actionable insights, which drastically reduces the time from setup to results. It integrates findings into business intelligence platforms and can be used for automated user feedback collection or employee surveys.

What sets Yasna apart is its sophisticated AI agent designed specifically for the nuances of conversational research, not just generic chatbots. It achieves a remarkably human-like interaction that encourages open, detailed responses from participants. Technically, it handles complex data processing to identify themes, sentiments, and key quotes from thousands of interview transcripts simultaneously. This allows for seamless integration of qualitative depth with quantitative scale, a combination traditionally difficult and expensive to achieve.

Ideal for market researchers, UX/CX professionals, HR teams, and business intelligence units needing to conduct in-depth interviews, user research, or employee sentiment analysis efficiently. Specific use cases include large-scale customer discovery, product feedback cycles, employee engagement surveys, and academic studies where understanding the 'why' behind data is critical. It is particularly valuable for industries like tech, consumer goods, and services that require rapid, iterative insight into human behavior and preferences.

The platform operates on a freemium model, providing basic functionality for free to get started, with advanced features, higher interview volumes, and more detailed reporting available through paid subscription tiers. This allows small teams and individual researchers to explore its capabilities before scaling up for enterprise-level research projects.