Yasna AI; Human-Quality Automated Interviews

Yasna AI is a game-changing research conversation platform and automates one-to-one interviews. It has an empathic AI moderator that sends text-based conversations to real participants, mimicking the free-flowing, intuitive style of a skilled human interviewer. The researcher simply inputs their research and a guide to the system's first question, and Yasna takes the rest from there – opening chat links, posing follow-up questions, and aggregating the data. The system then translates each response transcript into efficient, structured reports. In the real world, Yasna can carry out hundreds of in-depth interviews per day, "saving you time, money and effort," says one source. The depth-speed combination makes auto interviewing with Yasna a powerful tool for acquiring qualitative insights at scale.

How It Works :

Behind the scenes, Yasna uses cutting-edge AI and large language models to generate natural, context-dependent dialogue. The creators of the platform describe that Yasna is "trained to handle complexities of human conversation" – it responds to each response with the flexibility of a human moderator. As an example, if a respondent's answer is unclear or suggests something intriguing, Yasna will naturally ask probing follow-ups, as an experienced investigator would do. In conversation, Yasna "is always thinking about the objectives of a study," keeping the discussion on the right track and in the proper direction. It even captures the right tone and terminology in each respondent's language, managing cultural sensitivities for more precise insights.

Yasna is simple to utilize. Researchers guide the system by specifying their goals, context and seed questions. Yasna generates an adaptive interview guide and sends back a shareable chat link. Participants answer at their convenience via this chat interface. All of the finished interviews are saved as text transcripts, and the AI also summarizes them automatically – generating brief narrative summaries and a report of responses with supporting quotes and facts. Yasna essentially does the whole human interviewing process: briefing, questioning, probing and reporting, but autonomously and at scale.

Advantages :

• Time and Cost Efficiency: Yasna interviews and processes them far faster than humanly possible. It can process hundreds of chats in the time it would take a human to do only a few sessions. This super-human efficiency dramatically cuts down on the calendar time and cost of qualitative research. In one testimonial, one user spoke about Yasna's speed and quality, noting that it impressed "with the quality of the research, its speed [of] data collection and analysis" (see client quotes).

• Global, Multilingual Coverage: The AI is available in 40+ languages (and growing). You can initiate interviews in several countries at once, and Yasna communicates with each respondent in his or her own language. All findings can then be translated in real time using a one-click feature. The inherent multilingual feature allows you to achieve extensive geographic coverage without additional effort or translation expenses.

• Cultural Sensitivity: By employing local terminology and tone, Yasna preserves rapport in any culture. It "employs proper tone and pertinent terminology in communicating with respondents in their own language, being attuned to cultural subtleties for more valid reporting". This cultural sensitivity keeps participants interested and renders their response valid and meaningful.

• High Quality, Consistent Data: Despite being automated, Yasna never sacrifices depth. It probes each topic to great depth – continuing until answers are thorough – so the conversations sound amazingly human-like. The consistency of the AI also removes bias and fatigue from the interviewer. After the conversations, Yasna generates an AI-driven report with verbatims and quantitative summaries, giving you robust, mixed qualitative-quantitative findings. In short, you get deep open-ended feedback like you would if asked by a seasoned moderator, but presented faster and with exact consistency.

Use Cases :

• Market Research: Ideal for exploratory studies, concept or product testing, and segmentation interviews. Yasna can gather consumer opinions on new ideas or campaigns from diverse audiences, providing the why behind survey numbers.

• Product Development: Useful for usability tests and customer development. For example, Yasna can interact with users about a prototype, uncover reasons for churn or gather feedback on features. This helps product teams iterate faster with direct user input.

• Human Resources: Streamlines HR studies like candidate screening, onboarding feedback, and employee satisfaction surveys. An HR team could use Yasna to interview job applicants or survey staff across regions – obtaining candid feedback in real time without scheduling conflicts.

• Customer Experience & Other Qualitative Research: Anywhere you need scalable customer or user feedback. Yasna can conduct service satisfaction interviews or loyalty studies across geographies. In general, any team that needs deep, open-ended responses – whether marketing managers, UX researchers, or nonprofit analysts – can leverage Yasna to convert large-scale interviews into actionable insights.

Feature Comparison Table :

While Yasna AI's computerized human-level interviews have inherent value, it is worth comparing such a feature to the traditional human interviews and traditional survey tools (like Typeform or Google Forms). Below is a table that describes how Yasna bridges the gap between speed, scale, and qualitative depth — something no manual effort and common survey platforms can possibly deliver. Yasna's AI-powered interviews not only reduce time and are cost-effective, but are context-aware, multi-lingual, and can empathize and probe like a human. This, therefore, is a game-changing solution for researchers and teams to expand qualitative insights without compromising on quality.

Feature	Yasna AI	Traditional Human Interviews	Standard Survey Platforms (e.g. Typeform)
Interaction Quality	Human-like, context-aware, empathetic AI	Depends on moderator’s skill and consistency	Fixed question flow, lacks natural dialogue
Scalability	High – hundreds of interviews daily	Low – time- and resource-intensive	High – but limited in depth
Time Efficiency	Very fast – interviews + analysis in hours	Slow – interviews and manual analysis take days/weeks	Fast – but lacks open-ended depth
Language & Cultural Adaptation	Supports 40+ languages, adapts tone and terminology culturally	Depends on the interviewer’s fluency and cultural training	Usually limited to interface language only
Analysis & Reporting	Automated summaries, verbatim quotes, insights & charts	Requires manual transcription and coding	Basic summary or spreadsheet export
Cost	Cost-effective at scale	Expensive per session due to labor	Subscription-based, but lacks deep insights
Use Cases	Qualitative research, CX, HR, product feedback	In-depth exploration, small cohorts	Quantitative forms, polls, user testing