Basic Concepts
Understanding the three core pillars of Yatabase and how they work together to provide comprehensive data collection and analysis capabilities.
AI YataForms
Smart surveys with AI-powered creation, analysis, and insights
AI Interviews
Conversational AI interviews with intelligent follow-up questions
Knowledge Bases
Document collections with AI-powered search and analysis
AI YataForms: Smart Surveys
What makes YataForms different?
YataForms go beyond traditional surveys by leveraging AI throughout the entire process—from creation to analysis.
AI-Powered Creation
- Automatic question generation based on your goals
- Context-aware survey structure optimization
- Industry-specific question recommendations
- Multi-language support with automatic translation
Intelligent Analysis
- Real-time sentiment analysis of responses
- Automatic theme detection in open-ended responses
- Predictive insights and trend identification
- Executive summary generation
Best Use Cases for YataForms
Customer Feedback
Satisfaction surveys, NPS scores, product feedback
Employee Engagement
Workplace culture, satisfaction, exit interviews
Market Research
Consumer preferences, brand perception, market trends
Academic Research
Student surveys, research studies, data collection
AI Interviews: Conversational Data Collection
The power of conversational interviews
AI Interviews simulate natural conversations, adapting questions based on responses and providing deeper insights than traditional surveys.
Dynamic Conversation
- Adaptive follow-up questions based on responses
- Natural conversation flow with context awareness
- Probing questions to uncover deeper insights
- Emotional intelligence in questioning style
Custom Personas
- Create AI interviewers with specific expertise
- Industry-specific interview styles and approaches
- Adjustable interview tone and depth
- Multiple personas for different interview types
Best Use Cases for AI Interviews
User Research
UX research, user needs discovery, usability testing
Customer Development
Market validation, customer journey mapping
HR Interviews
Exit interviews, onboarding feedback, 1-on-1s
Content Research
Content preferences, information needs assessment
Knowledge Bases: AI-Powered Document Intelligence
Transform documents into intelligent resources
Knowledge Bases turn your document collections into searchable, queryable resources that can inform surveys and interviews.
Document Processing
- Support for PDFs, Word docs, text files, and web content
- Automatic text extraction and content analysis
- Metadata extraction and document categorization
- Version tracking and change management
AI-Powered Search
- Natural language queries across all documents
- Semantic search that understands context and meaning
- Automatic summarization of search results
- Document chat interface for interactive exploration
Best Use Cases for Knowledge Bases
Research Libraries
Academic papers, reports, research archives
Company Documentation
Policies, procedures, training materials
Product Information
Specifications, manuals, feature documentation
Market Intelligence
Industry reports, competitor analysis, trends
How They Work Together
Integrated Workflow Example
See how all three components can work together in a real-world scenario:
Upload Research to Knowledge Base
Add industry reports, customer feedback, and market research documents
Create Context-Aware Survey
Use knowledge base insights to inform YataForm creation with relevant context
Follow Up with AI Interviews
Use survey results to create targeted interview personas for deeper exploration
Enrich Knowledge Base
Add new insights and responses back to your knowledge base for future reference
Cross-Feature Benefits
- Contextual question generation
- Enhanced data analysis
- Comprehensive insights
Data Flow
- Unified data collection
- Shared context across tools
- Consolidated reporting
Efficiency Gains
- Reduced setup time
- Better question quality
- Deeper insights faster
Key Terms
AI-Powered Analysis
Automatic processing of responses using machine learning to identify patterns, sentiment, and insights without manual analysis.
Persona Collections
Groups of AI interviewer personalities, each with specific expertise and questioning styles tailored for different interview scenarios.
Context Sources
Information sources (websites, documents, manual input) that provide background context to improve AI question generation and analysis.
Semantic Search
Search technology that understands meaning and context, not just keywords, enabling natural language queries across document collections.
Response Limits
Maximum number of survey responses you can collect based on your plan (100 for Free, 5,000 for Growth, Unlimited for Enterprise).
Ready to Start?
Now that you understand the core concepts, let's put them into practice: