Scaling Senior Tech Hiring with AI-Powered Precision
A leading digital engineering company company optimize its senior lateral hiring process to enhance candidate evaluation, streamline decision-making, and improve hiring efficiency.
Coditas Wants to Optimize their Technical Hiring with AI Data-Driven Approach
For IT companies like Coditas, hiring experienced technical talent is not just about filling positions—it’s about hiring the right engineers. Coditas sought to enhance its hiring process to ensure a seamless and scalable approach to identifying candidates with strong problem-solving skills, deep technical expertise, and effective communication skills. With increasing hiring volumes, it aimed to optimize its hiring pipeline, reducing manual effort while improving selection accuracy and speed.
To optimize their existing hiring process, they want to focus on:
High time and effort spent on manual interviews by senior panels, reducing overall efficiency.
Challenges in identifying candidates with deep expertise not only with surface-level knowledge.
Inconsistent evaluation of technical depth and problem-solving ability, leading to varied hiring outcomes.
Low selection rates from manual interviews, leading to wasted recruiter and panel time.
Misalignment between panel expectations and the hiring process, causing inefficiencies and prolonged decision-making.
Coditas needed a more structured, scalable, and intelligence-driven hiring process that could automate technical evaluations, align interviews with job expectations, and improve hiring outcomes.
How Zeko AI Interview Transformed Coditas’ Senior Hiring Process
Leveraging AI-powered automation to create structured, insightful, and efficient hiring decisions.
AI-Driven Interview Assist for Smarter Hiring
Zeko AI Interview Assist observed panel interviews, capturing key insights and analyzing real-time recruiter-candidate interactions. AI-generated reports provided structured feedback, enabling the creation of precise AI interviews tailored to Coditas' hiring needs.
2. Resume-Based Cross-Questioning for Real Interview Experience
A key feature Coditas sought was the ability to validate candidates' experience beyond resume keywords. Zeko AI analyzed resumes before interviews and generated contextual, experience-based questions to test real-world expertise. This ensured better alignment with job expectations, reducing mis-hiring risks.
3. Deep Technical and Logical Assessments
AI-driven problem-solving and logical reasoning coding interviews ensured that candidates were evaluated effectively, enabling Coditas to select engineers with strong foundational, advanced technical skills, and analytical thinking.
4. Structured Communication Analysis
One of Coditas' key requirements was evaluating a candidate's communication skills. Zeko AI assessed communication during interviews, providing structured feedback and scoring on clarity, articulation and pronunciation.
5. Intelligent JD Alignment & Sourcing Optimization
Zeko AI ensured alignment between job descriptions and actual interview expectations, allowing Coditas to fine-tune search parameters and improve sourcing strategies for ideal candidates.
6. Faster and More Scalable Hiring
AI-driven structured reports and decision insights enabled recruiters to make hiring decisions faster and with more confidence, significantly improving the selection ratio and reducing hiring delays.
The Results: A More Intelligent & Scalable Senior Hiring Process
4x Faster Hiring Process – AI-driven interviews minimized panel dependency.
70% Reduction in Time Spent – AI-powered interviewing enabled lesser interviews.
Improved Selection Accuracy – Logical & technical assessments ensured better hiring outcomes.
Enhanced Communication Evaluation – AI-driven analysis provided structured feedback.
Higher Interview-to-Selection Ratio – AI-driven pre-screening reduced panel workload.
By integrating Zeko AI, Coditas successfully optimized its tech hiring process, improving efficiency, reducing recruiter workload, and ensuring precise evaluations. AI-driven insights allowed them to make data-backed hiring decisions, leading to better talent acquisition and business scalability.
