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

> Understand the core concepts behind User Intuition: studies, interviews, the Intelligence Hub, and how they work together to build your customer intelligence system.

# Key Concepts

Before diving into User Intuition, it helps to understand a few core concepts that shape how the platform works.

***

## Studies

A **study** is a research project focused on a specific question or objective. Each study includes:

* **Research plan:** The objectives, questions, and conversation flow
* **Interviewer configuration:** Voice selection and interview mode
* **Participant list:** Who you've invited and their status
* **Results:** Completed interviews, transcripts, and reports

### Study Types

User Intuition offers six pre-built study templates:

| Type                | Best For                           |
| ------------------- | ---------------------------------- |
| Win/Loss Analysis   | Understanding deal outcomes        |
| Churn Analysis      | Diagnosing customer exits          |
| NPS & CSAT          | Understanding satisfaction drivers |
| Customer Onboarding | Optimizing early experiences       |
| Brand Health        | Tracking perceptions over time     |
| Custom Design       | Unique research needs              |

All study types follow the same setup process—only the research plan differs.

***

## Interviews

An **interview** (also called a "call") is a single conversation between the AI interviewer and a participant. Interviews are:

* **Conversational:** Natural dialogue, not rigid surveys
* **Adaptive:** The AI follows up based on responses
* **Deep:** Uses laddering techniques to uncover underlying motivations
* **Recorded:** Full audio and transcript captured automatically

### Interview Modes

| Mode      | Description                             |
| --------- | --------------------------------------- |
| **Chat**  | Text-based conversation                 |
| **Audio** | Voice conversation (most common)        |
| **Video** | Video call with optional screen sharing |

### Interview Quality

Each interview receives a quality rating based on:

* Call duration
* Participant verbosity (substantive vs. one-word answers)
* Coverage of research objectives

***

## Charles, Your AI Researcher

**Charles** is User Intuition's AI research assistant who helps you design studies. During setup, Charles:

* Asks clarifying questions about your research goals
* Generates a customized research plan
* Adapts the plan based on your feedback

You can interact with Charles via voice or chat—whichever you prefer.

***

## The AI Interviewer

The **AI Interviewer** (Elliot or Clara) conducts the actual conversations with participants. The interviewer:

* Follows your research plan while adapting to each conversation
* Uses laddering techniques to probe deeper
* Maintains a warm, professional tone
* Achieves 98% participant satisfaction

The interviewer is distinct from Charles—Charles helps you design; the interviewer executes.

***

## Intelligence Hub

The **Intelligence Hub** is your organization's AI-powered workspace for analyzing customer knowledge across studies. You can sync data from multiple completed studies, upload external documents, and ask natural-language questions to surface insights. Key capabilities include:

* **Searchable transcripts:** Query across all historical conversations
* **Pattern recognition:** Identify trends across thousands of interviews
* **Institutional memory:** Knowledge that survives team changes
* **Compound learning:** Each conversation enriches the system
* **Report and PowerPoint generation:** Create structured deliverables from your data

Unlike traditional research where insights get buried in slide decks, the Intelligence Hub keeps everything accessible and growing. You can also upload external documents and ask questions across all your sources using AI chat.

<Card title="Intelligence Hub guide" icon="brain" href="/ai-tools/intelligence-hub">
  Learn how to use the Intelligence Hub to query, analyze, and generate outputs from your research data.
</Card>

***

## Reports

**Reports** are AI-generated analyses that synthesize findings across multiple interviews. Reports include:

* Executive Summary
* Top Insights at a Glance
* Detailed analysis by theme
* Supporting quotes and evidence

Reports require at least 2 completed interviews and can be regenerated as more responses come in.

***

## Participants

**Participants** are the people who complete your interviews. You can recruit participants through:

| Method         | Source                       |
| -------------- | ---------------------------- |
| Direct invites | Your own customer list       |
| Study link     | Shareable URL                |
| Research panel | 4M+ verified respondents     |
| Widget         | Embedded in your app/website |

User Intuition is designed for interviewing **real customers**—not professional survey-takers—which leads to more authentic, actionable insights.

***

## Key Metrics

Throughout the platform, you'll see these metrics:

| Metric             | Meaning                              |
| ------------------ | ------------------------------------ |
| **Responses**      | Completed interviews                 |
| **Avg Length**     | Average interview duration           |
| **High Quality**   | Responses meeting quality thresholds |
| **Study Progress** | Responses collected vs. target       |

***

## Workflow Overview

```
Create Study ──▶ Invite People ──▶ Collect Calls ──▶ Review Results ──▶ Generate Report ──▶ Take Action
```

***

## Next Steps

* [Quickstart](/getting-started/quickstart) — Launch your first study
* [Create a Study](/creating-a-study/overview) — Detailed setup guide