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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.

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

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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

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Study Types

User Intuition offers six pre-built study templates:
TypeBest For
Win/Loss AnalysisUnderstanding deal outcomes
Churn AnalysisDiagnosing customer exits
NPS & CSATUnderstanding satisfaction drivers
Customer OnboardingOptimizing early experiences
Brand HealthTracking perceptions over time
Custom DesignUnique research needs
All study types follow the same setup process—only the research plan differs.

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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

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Interview Modes

ModeDescription
ChatText-based conversation
AudioVoice conversation (most common)
VideoVideo call with optional screen sharing

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Interview Quality

Each interview receives a quality rating based on:
  • Call duration
  • Participant verbosity (substantive vs. one-word answers)
  • Coverage of research objectives

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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.

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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.

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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.

Intelligence Hub guide

Learn how to use the Intelligence Hub to query, analyze, and generate outputs from your research data.

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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.

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Participants

Participants are the people who complete your interviews. You can recruit participants through:
MethodSource
Direct invitesYour own customer list
Study linkShareable URL
Research panel4M+ verified respondents
WidgetEmbedded in your app/website
User Intuition is designed for interviewing real customers—not professional survey-takers—which leads to more authentic, actionable insights.

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Key Metrics

Throughout the platform, you’ll see these metrics:
MetricMeaning
ResponsesCompleted interviews
Avg LengthAverage interview duration
High QualityResponses meeting quality thresholds
Study ProgressResponses collected vs. target

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Workflow Overview

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

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Next Steps