Yasna

Yasna is an AI moderator for qualitative research. It runs in-depth interviews in text, voice or video across 45+ languages, recruits and screens respondents through links or panels, then transcribes and summarises every session into structured reports. Market, UX and CX researchers use it to run far more interviews than a human team could schedule.

Yasna is an AI interviewer built for qualitative research. Instead of scheduling one-on-one calls with a handful of participants, a research team writes an interview guide, shares a link, and lets an AI moderator hold in-depth conversations with many respondents at once. Answers can arrive as text, voice or video, and the platform transcribes, summarises and structures everything afterward. The pitch is human-quality moderation combined with machine throughput, and it is aimed squarely at teams that treat depth interviews as a method they cannot usually afford. The workflow is split into four stages. Setup is guide creation, where the team states objectives and key questions and tells the AI where to probe, with support for uploading text, images, videos, mockups and landing pages as stimuli. Recruitment happens by sharing a link with a CRM database or drawing on built-in panels, with AI screening to keep the sample on target. Interviewing is where the AI takes over, adapting follow-ups to each answer, acknowledging what was said before moving on, and working in more than 45 languages. Reporting turns transcripts into story-style summaries, quotes in text, voice and video, percentages and cross-tabs, with one click translation for international stakeholders. In practice the product replaces part of the fieldwork grind rather than the researcher. Moderators still decide what to ask and how to interpret results, but they are not booked for every session. This makes it a fit for market research agencies, UX and CX teams, product groups and small research functions running exploratory studies, concept tests, churn interviews or voice-of-customer programmes. The method is depth interviewing, so it sits closer to a qualitative platform than to a survey builder. The homepage lists GDPR compliance and ISO 27001:2022, with encrypted data stored in the EU on Microsoft Azure and kept out of LLM training. AI moderators still need piloting on sensitive or highly technical audiences, and the vendor's quality claims deserve a controlled test before a large study.