AI Interview Glossary

Rigovo's comprehensive integrity stack that simultaneously analyzes 15 proprietary signal categories covering identity, behavior, and technical depth to ensure absolute session authenticity.

An AI interview technique where follow-up questions are dynamically generated based on the candidate's previous responses, allowing for deeper exploration of relevant topics.

A software solution that uses artificial intelligence to conduct, evaluate, and/or verify job interviews. These platforms automate various aspects of the interview process while maintaining assessment quality.

The process of monitoring and analyzing a candidate's behavior patterns during an interview, including typing speed, response timing, and interaction patterns to verify authentic engagement.

A feature that records and replays how a candidate wrote their code during a technical interview, showing the entire development process rather than just the final result.

AI analysis of how a candidate approaches problems, their vocabulary usage, and thinking patterns to verify they lead AI rather than follow it.

In multi-agent AI systems, the requirement that multiple AI agents must agree on an assessment before it is finalized, reducing errors and increasing accuracy.

A specialized AI component that analyzes interview sessions for authentic problem-solving and AI leadership verification. Rigovo's Forensic Engine works alongside Maya to verify candidates architect solutions.

An AI-powered model that analyzes interview performance and behavioral signals to predict a candidate's likelihood of success in a specific role.

The process of ensuring that an interview candidate is authentic and demonstrating genuine technical leadership, including identity verification and AI collaboration assessment.

A Core Web Vitals metric measuring how long it takes for the largest content element to load. Important for SEO and user experience on interview platform pages.

Rigovo's conversational AI agent that conducts adaptive technical interviews, asking questions and evaluating responses with natural, human-like conversation.

An AI architecture where multiple specialized agents work together on a task. In interviews, different agents handle conversation, integrity verification, and technical assessment.

Rigovo's approach to synchronizing multiple data streams during an interview session to create a comprehensive and verified view of candidate authenticity.

A person who takes an interview on behalf of another candidate. Verifying candidate identity throughout the session is a key function of interview integrity systems.

Rigovo's multi-layered integrity verification architecture where multiple specialized agents work together through consensus to ensure interview authenticity.

An interview format where all candidates are asked the same core questions in the same order, providing a standardized comparison baseline and reducing bias.

The process of evaluating a candidate's technical skills, usually through coding challenges, system design questions, or technical discussions.

Implicit preferences or prejudices that affect hiring decisions without the interviewer's awareness. AI interview platforms can help reduce unconscious bias through standardized evaluation.

A portable, cryptographically-signed record of a candidate's verified skills and interview performance that travels with the candidate across organizations.