Ready to harness the power of AI for gathering feedback or insights? Agent Interviews makes it easy to create and deploy AI agents that conduct interviews and generate insights in real time. This guide walks you through the essential steps to get your first interviewer up and running quickly.

Goal: Launch a basic AI interviewer focused on your topics and insights, and start collecting feedback instantly.

Conversational AI platforms like Agent Interviews aren't just a technical novelty; they offer practical solutions for gathering insights across a wide range of business functions. By enabling scalable, consistent, and in-depth conversations, AI interviewers open up possibilities beyond traditional methods.

Let's look at some compelling use cases:

You've successfully deployed your AI interviewer using Agent Interviews, and the conversations are rolling in. Now comes the crucial part: turning those raw conversations into meaningful insights. Unlike survey data, AI interview results offer rich, qualitative context – but how do you effectively analyze it?

For years, surveys and questionnaires have been staples in the user researcher's toolkit. They offer scale and quantifiable data, but how much do they truly reveal about user experiences, motivations, and pain points? Often, the richest insights lie hidden in the nuances of conversation – something traditional surveys struggle to capture.

What if you could have probing, dynamic conversations with your users, at scale?

So you've created the perfect AI interviewer in Agent Interviews using a well-crafted template. Now, you need to share it with your target audience. The primary mechanism for this is the Shareable Link – a unique URL tied to your specific interviewer instance. While easy to generate, it's worth considering best practices for managing these links securely and effectively.

Adopting a new tool like Agent Interviews for AI interviews doesn't mean abandoning your established processes. In fact, its value is often maximized when integrated thoughtfully into your existing user research, product development, HR, or customer feedback workflows.

How can AI interviews complement, rather than replace, what you already do?

There's a lot of buzz around AI generating synthetic data – creating artificial datasets to train models or simulate scenarios. While valuable in some contexts, this focus can overshadow a perhaps more profound application of AI: its ability to help us connect more deeply and at scale with real human beings.

Instead of just simulating users, what if AI could help us listen better to the ones we actually have? Platforms like Agent Interviews represent this shift, using AI not to replace human interaction, but to facilitate and scale authentic conversations.

Imagine trying to conduct dozens or hundreds of user interviews manually. Maintaining consistency in questioning, tone, and focus across all those sessions would be a significant challenge, introducing potential bias and making comparisons difficult. This is where the concept of Interviewer Templates in platforms like Agent Interviews becomes incredibly valuable.

For decades, gathering rich qualitative data meant resource-intensive one-on-one interviews or focus groups. While incredibly valuable, these methods inherently limit scale. Now, advancements in conversational AI are ushering in a new era for qualitative research, enabling deeper understanding at unprecedented speed and scale. Platforms like Agent Interviews are at the forefront of this transformation.

What trends are shaping the future of AI-powered interviews?

When setting up an AI interviewer in Agent Interviews, you're not just defining tasks – you're crafting a persona. The way the AI communicates, its tone, and its perceived role significantly impact the interviewee's experience and the quality of information gathered. The key to controlling this lies within the Interviewer Template, specifically in the Core Instructions or System Prompt.