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.
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.
