SPC Demo Faire Spring 2024 - INTERVIEWER

Summary

Verun and Shus, founders of Interviewer, showcase their AI-driven interview platform designed to replace traditional human interviewers, especially in high-volume hiring industries like retail. They demonstrate an AI-powered interview for a retail associate position, highlighting how it reduces costs and time for companies while maintaining adaptability and empathy. The platform scores interviews, provides detailed feedback, and prevents cheating through monitoring. Aimed at streamlining mass hiring processes, Interviewer targets companies with consistent hiring demands, offering a faster, cost-effective solution compared to traditional methods.

Takeaways

• 🧑‍💻 Interviewer builds AI agents that simulate human interviewers, mainly focusing on industries with high volume hiring like retail.
• 👟 Example scenario of a retail interview was demonstrated, showcasing the AI's capability to ask relevant questions and provide assessments.
• 💡 AI interviewing is particularly useful for companies with a large number of hires, reducing time and cost by automating interviews.
• 👶 The AI agent was able to handle unexpected scenarios, such as a child needing an unusually large shoe size, demonstrating adaptability.
• 🔍 AI interviewers analyze candidate responses, body language, and other behavioral cues to ensure the integrity of the interview process and prevent cheating.
• 📊 Companies receive interview summaries, recordings, and scorecards to help assess candidates effectively and quickly.
• ⚡ AI-driven interviews offer significant time and cost savings for companies, especially those with high-volume hiring needs, like Chipotle, which hires thousands of workers.
• 🎯 The initial focus is on companies that need to hire large numbers of employees quickly, but Interviewer has plans to expand into other areas like training and performance reviews.
• 📈 The company is working on reducing latency during conversations and optimizing their AI systems through infrastructure and data improvements.
• 💼 The founders emphasize their expertise in high-labor operations and aim to focus on industries with consistent demand rather than niche tech sectors.

Q & A

What is the main service that 'Interviewer' provides?

'Interviewer' builds AI agents that simulate human interviewers to conduct interviews for various roles, particularly in high-volume hiring environments like retail.

What industry use cases does 'Interviewer' target primarily?

The primary use case is high-volume hiring in industries like retail, where there are thousands of locations and many employees need to be hired quickly, such as for companies like Chipotle.

Why is 'Interviewer' useful for large-scale hiring?

It allows companies to interview many candidates simultaneously, reducing the time and cost associated with traditional interviews. For example, if Chipotle hired 20,000 people and interviewed 80,000 candidates, it could save significant time and money using 'Interviewer'.

How does 'Interviewer' ensure candidates are not cheating during the interview?

'Interviewer' implements measures such as monitoring candidates' browser tabs, recording videos of the interview, and analyzing body language to detect cheating.

What is the potential candidate experience when using 'Interviewer'?

While candidates are being interviewed by an AI, they avoid the bias and awkwardness of one-way video assessments. The AI helps them present their best selves in a more neutral and structured environment.

What types of companies are 'Interviewer' targeting initially?

'Interviewer' is focusing on companies with high-volume hiring needs where the employer has more leverage over the hiring process, such as retail or service industries, rather than tech companies or startups.

How does 'Interviewer' handle latency issues during interviews?

'Interviewer' is actively working on improving latency by using various service providers and implementing caching systems to ensure real-time conversation flow. As the company gathers more data, the system will continue to optimize latency performance.

Why didn’t 'Interviewer' start with tech-related industries like software engineering for its AI interviewing service?

The founders have more experience in high-labor operations like retail (e.g., working at companies like Instacart and Checkr). Additionally, demand in tech hiring is less consistent compared to industries like retail, where hiring needs are steadier.

How does 'Interviewer' score candidates, and what happens after an interview is completed?

After an interview, candidates receive a scorecard summarizing their performance. This includes a recording and an evaluation of their responses, allowing companies to quickly assess many candidates.

What are the long-term goals of 'Interviewer' beyond just conducting interviews?

'Interviewer' aims to eventually own the full HR stack, including interviews, training, and employee evaluations. The company sees its role as assessing human knowledge and capabilities at any point in time.