Yasna AI ; A Compact Review of the Automated Qualitative Interview Platform

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Yasna AI ; A Compact Review of the Automated Qualitative Interview Platform

Yasna AI is an AI-powered conversational research tool that automates qualitative interviews with remarkable precision. Built to bridge the gap between traditional qualitative research and modern automation, it facilitates natural, human-like interviews at scale—without the need for live moderators. With capabilities like voice response handling, AI-based summarization, and multilingual support, Yasna is transforming the landscape of qualitative research for marketing, UX, HR, and academic fields.

1. Comparison table: Yasna AI with 5 other platforms:

Unlike typical survey tools, Yasna doesn’t just collect checkbox answers; it engages users in deep, flowing conversations. Researchers get access to rich open-ended feedback, which Yasna’s built-in AI then parses, summarizes, and presents in actionable form. With Pro features such as custom interviewer personas, larger project capacity, and voice input support, Yasna AI brings a unique combination of scalability, affordability, and insight depth.

Platform	Developer	Free/Paid	Latest AI Version	Price	Launch	Open Source
Yasna AI	Yasna.ai (Startup)	Free / Pro	Interview AI v2 (2024)	€200/month Pro	2023	❌
Qualtrics AI	Qualtrics	Free limited / Paid	Qualtrics XM + AI (2023)	From $420/month	2002	❌
UserTesting AI	UserTesting, Inc.	Paid only	AI Insight Suite (2023)	From ~$30K/year	2007	❌
Sprig AI	Sprig (UserLeap)	Free / Paid	AI Survey Insights (2023)	Quote-based	2020	❌
dscout	dscout, Inc.	Paid only	AI Summarization (2024)	High-tier enterprise	2011	❌
Great Question	Great Question, Inc.	Free / Paid	AI Transcripts & Summaries	From $15/user/month	2021	❌

Compared to these platforms, Yasna AI offers a balance of affordability and advanced features—particularly voice support and AI-driven reporting—at a much lower entry cost, making it ideal for growing teams and startups.

2. Key Use Cases :

Yasna AI is especially powerful in scenarios where traditional one-on-one interviews are either too expensive or logistically challenging. Instead of scheduling dozens of participants and hiring moderators, organizations can deploy Yasna to conduct interviews concurrently, saving time and resources.

Market Research: For exploring customer needs, product perceptions, or campaign responses.

Product Design & UX Testing: Understand user pain points and feature satisfaction through deep conversations.

HR and Employee Experience: Conduct exit interviews, engagement surveys, or internal feedback anonymously and at scale.

Customer Experience Analysis: Gather post-support interaction feedback for CX optimization.

Social and Academic Research: Execute multilingual interviews for cross-cultural studies or remote fieldwork.

3. Paid Plan Advantages (Yasna Pro) :

The Pro version unlocks considerable value:

Higher Capacity: Run up to 100 AI-moderated interviews per month.

Voice Input: Allow participants to speak responses, adding depth, tone, and emotion.

Customization: Personalize the AI interviewer's appearance and tone to match brand or audience.

Text Analytics Upgrade: Analyze longer texts (up to 25K lines), ideal for survey exports or feedback databases.

International Research: Use in over 45 languages, with built-in auto-translation.

Compared to other platforms like UserTesting (which costs tens of thousands per year), Yasna Pro’s €200/month price tag offers exceptional value—especially for lean teams or agencies managing multiple studies.

4. Technical Capabilities :

Yasna AI is designed to focus entirely on qualitative data collection, rather than being a general-purpose AI platform. Here's an in-depth look at its technical capabilities:

Coding Support: Yasna AI does not offer any form of code generation, debugging, or assistance in programming languages. It is not equipped like ChatGPT or GitHub Copilot to handle developer tasks.

Video Generation: Yasna lacks any native ability to create or manipulate video content. However, it can accept short video files as stimuli during an interview to gather participant reactions, especially useful in UX testing or ad concept validation. These files are external inputs, and Yasna does not process video data beyond being a reference point in a conversation.

Image Generation:It does not generate or edit images. You can upload static images (e.g., product screenshots, UI prototypes) during the interview, which Yasna uses as visual stimuli to elicit feedback. Still, it will not analyze, modify, or create image content on its own.

Document Processing: Yasna can process unstructured text extracted from documents. You can paste text copied from Word, Excel, PDF, CSV, or Notepad into the interface or via its Text Analysis tool. It then performs:

• Summarization

• Theme clustering

• Sentiment classification

• Automatic tagging of key points

• Excel-friendly exports of structured insights

However, Yasna does not support native file ingestion. Files must be opened externally and their contents pasted or uploaded in supported formats (e.g., plain text or raw CSV content). It does not offer PDF parsing, Excel cell analysis, or automated table extraction like some generalist AI assistants.

API & Integration: Currently, Yasna AI does not offer open public APIs for developers. However, enterprise clients may request integration support. Native integration with external platforms (e.g., CRM, Google Sheets) is not publicly advertised.

Security & Compliance: Yasna complies with GDPR and offers secure data handling for participant interviews, making it suitable for professional environments, especially in Europe.

In essence, Yasna is optimized for text-based human insights. It excels in structured conversation, transcript analysis, and language comprehension—but it’s not a tool for media production, spreadsheet calculations, or back-end technical integration. Its strength is qualitative, human-first AI, not technical multitasking.

5. Conclusion :

Yasna AI is a specialized platform with a clear value proposition: qualitative insights at scale without sacrificing depth. Its strengths—automation, language flexibility, affordability, and voice interaction—make it an ideal choice for teams seeking fast, actionable data from users or employees.