See How AI Interviews Work in Real Scenarios
Explore three interview types—customer discovery, employee feedback, and candidate screening—each modeled on realistic situations teams use every day. Pick one to experience the conversation firsthand.
Customer Interview
What this is for
Companies use AI-powered customer interviews to understand what their users actually need—far beyond what traditional surveys or analytics dashboards can reveal. Instead of guessing from form responses or surface-level metrics, the AI has short, high-signal conversations that uncover motivations, frustrations, buying triggers, and how customers use the product in real life.
This helps product, success, and marketing teams make decisions with clarity instead of assumptions.
Context of this interview
In this demo, you'll experience what a customer (or prospect) would see if a company embedded an AI discovery link on their website or sent it as part of a research initiative.
Imagine a product team preparing for a new roadmap cycle and sending this AI interview to a few hundred of their active customers. Their goal: understand what customers most want to learn about their own users, identify gaps in their current research workflows, and uncover the pain points that make customer understanding hard today.
This interview represents the exact type of conversational insight those teams would collect—we stay curious, ask one question at a time, and focus completely on discovering how customers think.
Employee Interview
What this is for
Companies use AI-driven employee interviews to surface themes that traditional surveys miss—clarity of policies, workflow friction, quality of communication, and how day-to-day experience actually feels. Instead of static forms, the AI engages employees in short conversational surveys that adapt to their answers and uncover more actionable insights.
Context of this interview
In this demo, you'll step into the role of an employee responding to a real-world scenario:
An HR team has just updated its PTO policy and emailed an AI interview link to 300 employees. The goal is to understand how clear the new policy feels, whether people have trouble using it, and what improvements could make the process smoother.
This interview represents what those employees would experience—neutral, safe, and focused strictly on policy clarity and usability.
Candidate Interview
What this is for
Organizations use AI interviews to streamline early-stage screening—capturing a candidate's background, tool familiarity, and professional strengths in a fast, conversational format. Instead of scheduling dozens of phone screens, the AI collects consistent, comparable responses that recruiting teams can review asynchronously.
Context of this interview
In this demo, you'll experience what a candidate sees when applying for a sales role. Imagine a company has posted a position and sent this AI interview to all applicants who passed the resume screen. The goal is to gather key details: sales experience, CRM proficiency, and how the candidate approaches managing a pipeline.
The interview stays tightly focused on job-relevant experience and avoids all HR-sensitive topics.