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

# AI Interviews — Overview

> Scale qualitative customer feedback without scaling your team. AI Interviews conduct adaptive, asynchronous conversations with your customers and deliver structured insights at scale.

<Note>
  AI Interviews is a feature-gated capability. Contact your Customer Success Manager to activate it for your workspace.
</Note>

AI Interviews is Deeto's automated interview capability inside the **Campaigns Hub**. Instead of scheduling, conducting, and transcribing customer interviews manually, the AI runs structured conversations asynchronously — customers respond on their own time, the AI adapts its follow-up questions based on their answers, and you get analyzed, structured feedback from dozens of customers in days, not months.

This is the **collect** layer of Deeto's research stack:

| Layer       | Tool          | What it does                                                          |
| ----------- | ------------- | --------------------------------------------------------------------- |
| **Collect** | AI Interviews | Sends AI-powered conversations to customers, gathers qualitative data |
| **Analyze** | Research Hub  | Turns collected data into structured projects, themes, and findings   |
| **Query**   | AI Insights   | Lets your team ask questions across all collected data at any time    |

## Key capabilities

**Conversational and adaptive** — The AI conducts interviews that feel natural, not like a survey. It listens to what customers say and asks relevant follow-up questions based on their responses.

**Asynchronous** — Customers respond on their own schedule. This flexibility drives higher response rates than scheduled calls or time-sensitive surveys.

**Structured analysis** — Responses are automatically organized into themes, sentiment signals, and actionable insights through the Research Hub.

**Scalable by design** — Interview 5 or 500 customers with the same effort.

## How it works

AI Interviews live inside **Workflows → Campaigns Hub → AI Interview Agent**.

| Step                 | What happens                                                                           |
| -------------------- | -------------------------------------------------------------------------------------- |
| **1. Design**        | Create your campaign, choose a topic scope, and configure your question guide          |
| **2. Launch**        | Send to your target audience manually, via segment, or through CRM enrollment triggers |
| **3. AI Interviews** | The AI conducts adaptive conversations asynchronously with each respondent             |
| **4. Analyze**       | Review structured insights, themes, and shareable content in the Research Hub          |

## Topic scopes

Each AI Interview campaign is built around a topic scope that shapes the AI's question guide and follow-up behavior.

| Topic scope               | Best for                                                                            |
| ------------------------- | ----------------------------------------------------------------------------------- |
| Win/Loss Analysis         | Understanding why deals close or stall — splits into Win Analysis and Loss Analysis |
| General Voice of Customer | Open-ended customer feedback on anything they're feeling, valuing, or looking for   |
| New Product Feedback      | Reactions to a new product or feature from early adopters                           |
| First 30 Days Experience  | Onboarding sentiment from customers in their first month                            |
| Pre-Renewal Check-in      | Health signals and risk indicators from accounts approaching renewal                |
| NPS Follow-up             | Qualitative depth behind NPS scores                                                 |
| Retention Analysis        | Understanding why customers stay or leave                                           |
| Product-Specific Feedback | Deep feedback on a specific feature, workflow, or experience                        |

## What customers see

When a customer receives an AI Interview invitation, they land on a branded welcome screen — with a heading and description you can customize in **Settings → Branding → AI Interview tab**. The AI then guides them through the conversation one question at a time, adapting based on their answers. Customers can complete it on any device, on their own schedule.

<Tip>
  The welcome screen messaging significantly affects response rates. Frame the interview as "your voice shapes our roadmap" rather than a data collection exercise.
</Tip>

## Pricing

AI Interviews use **5 credits per question**. For a 10-question campaign with 50 respondents, budget approximately 2,500 credits. Contact your Customer Success Manager to review your credit allocation.

## Getting started

Talk to your Customer Success Manager about activating AI Interviews. Once active, navigate to **Workflows → Campaigns Hub** and select the **AI Interview Agent** template to create your first campaign.

<CardGroup cols={2}>
  <Card title="AI Interviews: Best Practices" icon="chart-line-up" href="/docs/platform-guides/ai-interviews-best-practices">
    Maximize response rates, analyze results, and build a repeatable interview program.
  </Card>

  <Card title="Win/Loss Analysis" icon="scale-balanced" href="/docs/platform-guides/win-loss-analysis">
    Deep guide to running win/loss campaigns with AI Interviews.
  </Card>
</CardGroup>