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Description
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Use Case
Description
Yasna AI is an AI powered conversational research and automated interviewing platform designed to help teams conduct deep qualitative studies at scale with minimal effort.
It acts as an empathetic AI moderator that engages with real people through natural one-on-one text or voice dialogues.
The platform automates every stage of the research process from setup and recruitment to interviewing and analysis.
Users can define research objectives, upload stimuli (text, images, videos) and brief the AI just as they would a human interviewer.
Yasna conducts interviews in more than 45 languages and can manage hundreds of conversations daily.
All interactions are transcribed, summarized, and transformed into structured insights with metrics and themes.
The platform includes built-in recruitment panels and screening to ensure responses match target audience criteria.
Yasna’s reports reveal motivations sentiment and nuanced patterns to guide strategic decisions.
It delivers rich qualitative depth with quantitative validation without the logistical constraints of manual interviewing.
By blending human-like moderation with automation, Yasna accelerates research cycles and unlocks deeper understanding.
Key Features
• AI moderated one-on-one conversational interviewing at scale
• Real time transcription, summarization and structured insight reports
• Support for text, optional voice, and multilingual dialogue in 45+ languages
• Built-in respondent screening and recruitment support
• Automatic coding, sentiment extraction and analytics summaries
Industries
• Market Research and Consumer Insights
• Product Management and UX Research
• Human Resources and Organizational Feedback
• Customer Experience and Brand Strategy
Use Case
Yasna AI is used by market researchers to uncover attitudes, behaviors, and motivations at scale.
Product teams deploy it to test concepts and capture early user feedback.
UX researchers automate user interviews to refine product experiences.
HR teams gather authentic candidate and employee insights via AI moderated chats.
Brand strategists analyze consumer language and sentiment to optimize messaging.
Global teams conduct multilingual qualitative studies without external agencies.
Consultants use reports to justify strategy with clear narratives and data tables.
Agencies automate hundreds of interviews daily to save time and costs.
Researchers turn narrative transcripts into structured insights with scores and themes.
Remote teams centralize research feedback without scheduling constraints.
Qualitative analysts combine Yasna outputs with quantitative data for deeper understanding.
Customer experience teams extract voice-of-customer insights at high volume.
Innovation teams gather actionable insights to guide product roadmaps.
Brands test marketing creative and ad messaging with rapid feedback loops.
Cross-functional strategy groups unify insights across markets.