> ## Documentation Index
> Fetch the complete documentation index at: https://docs.userjourneys.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Interviews Overview

> Collect user feedback through AI-powered voice conversations that feel natural and extract deeper insights.

Interviews are AI-powered voice conversations that collect user feedback. Instead of typing responses to a survey, users speak naturally while an AI interviewer guides the conversation, asks follow-up questions, and digs deeper when answers are vague.

## Key Characteristics

<CardGroup cols={2}>
  <Card title="Voice-First" icon="microphone">
    Users speak via microphone, not text. This captures tone, emotion, and more natural responses.
  </Card>

  <Card title="Natural Conversation" icon="comments">
    The AI weaves your questions into a flowing dialogue rather than reading them verbatim.
  </Card>

  <Card title="Intelligent Follow-ups" icon="brain">
    When answers are vague, the AI pushes for specifics and examples automatically.
  </Card>

  <Card title="Automatic Analysis" icon="chart-line">
    Conversations are recorded, transcribed, and analyzed. Insights aggregate across interviews.
  </Card>
</CardGroup>

## Quick Start

<Steps>
  <Step title="Create an experiment">
    Set up your interview with [questions](/interviews/questions) you want answered and optional [product context](/interviews/experiments#product-context).
  </Step>

  <Step title="Share with users">
    Send the interview link directly to users, or launch a [PostHog in-app survey](/setup/posthog) to reach them inside your product.
  </Step>

  <Step title="View results">
    Watch [themes](/interviews/insights) emerge as interviews complete.
  </Step>
</Steps>

## Pricing

Interview usage is based on completed interviews. Test mode interviews (via the [test link](/interviews/experiments)) don't count toward your limits.

<Tip>
  Use the test link to preview your interview experience before sharing with real users.
</Tip>