Case Study

How Codeaid’s AI Interviewer simplifies the recruitment process, offering seamless coordination, consistent assessment, boosting efficiency, and cost-effectiveness with Scopic’s Advanced AI Solutions.

About Codeaid AI Interviewer

Codeaid is unlike any other testing tool currently available, the platform generates a holistic view of candidate performance, enabling recruiters to make quick and informed decisions while avoiding costly hiring mistakes. By enhancing the hiring process with Codeaid, the organization can experience better process efficiency, accuracy, and candidate experience.

The Challenge

The traditional hiring process is tedious, inconsistent and inefficient, particularly failing to assess candidates’ technical aptitude. It also proves to be time-consuming for the recruiter and the interviewee as it fails to assess the candidates’ technical skills. Codeaid saw an opportunity to make the process more efficient, pleasant and less time-consuming for all parties involved. The goal was clear: a solution that could automate and streamline the process while ensuring high-quality candidate assessment.

The Solution

Scopic collaborated with Codeaid to develop the AI Interviewer tool, an innovative AI-driven solution designed to transform the recruitment landscape. This tool facilitates seamless interview scheduling, generates skill-based questions tailored to candidates’ CVs, and conducts real-time evaluation of interviews with AI grading.

The Result

The implementation of the AI Interviewer has significantly boosted recruitment efficiency at Codeaid. Since its launch, the tool has invited 471 candidates, successfully graded 294 candidates, and optimized the entire recruitment workflow, making the process more consistent and cost-effective. Here’s how the AI Interviewer assists technical recruiters:

Skill-based question generation: Specify skills, question types, and let AI craft the perfect interview.
CV insights: The tool can derive questions from a candidate’s CV for deeper insights.
Candidate-centric interviewing: Candidates schedule at their convenience and AI facilitates the interview session, optimizing the experience.
Real-time evaluation: AI swiftly grades interviews, providing transparent and comprehensive insights.

Technologies and Tools

Natural Language Processing (NLP): To analyze CVs and extract key information for personalized question generation.
Machine Learning Algorithms: For real-time evaluation and grading of candidate responses.