Skip to main content

Core Concepts Explained

Understanding these key concepts will help you get the most out of Agent Interviews as an AI-powered research platform:

1. Research Projects​

  • What it is: A Research Project is like a folder or workspace for organizing your qualitative research activities.
  • Why use it: It helps you keep research studies for different purposes (e.g., different products, market research studies, user experience research, hiring rounds) separate and manageable. You create Research Agents within a specific Research Project.
  • (Optional) Context: Research Projects can also hold relevant documents or information that might eventually be used to give your AI Research Agents more background knowledge for conducting qualitative research, though this is a more advanced feature.

2. Research Agents (AI Interviewers)​

  • What it is: A Research Agent is the specific AI agent that conducts qualitative research conversations. You configure the AI's research goal, personality, focus, and conversational style directly when creating the Research Agent.
  • Why use it: This is the actual "thing" you share for conducting research studies. Each Research Agent has its own settings (like a name) and, crucially, its own shareable link for research participants.
  • Key Idea: You define the research focus and behavior when creating each Research Agent to match your specific qualitative research needs.

3. Research Interviews​

  • What it is: A Research Interview is the record of a single qualitative research conversation session between a research participant (the interviewee) and one of your AI Research Agents.
  • Why use it: This is where you find the research results – the transcript of the qualitative research conversation, any research data the AI extracted, and the status of the research interaction.