Standardizing GlobaL Talent Acquisition: Increasing Hiring Accuracy by 16%
Client
Global Media-Tech Company (5,000+)
Target Audience
500+ Hiring Managers & Interviewers
Service
Instructional Design
Year
2025
The Pain Point
Fragmented hiring practices across remote-first teams were creating inconsistent candidate experiences and slowing down the recruitment pipeline.
A deep-dive needs analysis revealed a critical gap: managers were unaligned on the company’s competency model and lacked a clear framework for evaluating talent in a rapidly evolving technological landscape.
Designing for the Modern Era of Recruitment
We moved beyond generic "how to interview" tips and developed an agile and flexible Micro-Learning Program designed for the modern era of recruitment, with a twofold strategic focus.
Standardizing the Core: Aligning 500+ global stakeholders on a single competency model, interviewing techniques, and feedback guidelines to ensure consistent "Hiring" decisions.
Responsible AI Adoption: Integrating specific guidance on how to navigate the role of AI in the hiring process, empowering interviewers to encourage responsible AI and to look for a candidate's ability to leverage LLMs to enhance their work.
“We designed this program to ensure that while the tools change, the standard for talent remains uncompromised. In the era of Generative AI, our goal was to ensure interviewers can distinguish between someone who uses AI to bypass thinking and someone who uses it to accelerate it.”
— Mariana Marceillac, Marcel CEO & Lead Consultant
The Impact
16% Increase in Interview Scores: Significant improvement in the quality and consistency of candidate evaluations post-rollout.
Modernized Talent Assessment: Achieved global alignment on AI-usage, ensuring the organization hires talent capable of leveraging AI responsibly and effectively to drive performance.
Global Scale: Deployed across the company’s entire global footprint via 9 interactive, accessible micro-learning modules integrated into the LMS.
