General Manager, Innovation Lab, Royal Dutch Shell:
“Without ever meeting or interviewing the candidates, and without knowing their background, CV, or academic pedigree, Knack identified the most promising candidates who generated the most innovative and successful ideas.”
This reflects a powerful shift in how organizations identify talent. By removing traditional signals like resumes and interviews, companies can focus purely on demonstrated ability. AI-driven, game-based assessments evaluate how people think, solve problems, and innovate under real conditions—free from bias and assumptions.
Instead of relying on credentials, this approach measures actual performance potential. It highlights candidates who may not have conventional backgrounds but consistently show strong cognitive ability, creativity, and problem-solving skills. The result is a more accurate and inclusive way to identify high-performing talent.
For innovation-driven organizations, this is a major advantage. It expands the talent pool, reduces hiring bias, and surfaces individuals who can generate breakthrough ideas and meaningful business impact.
When hiring is based on evidence rather than perception, companies make better decisions. And better decisions lead to stronger teams, faster innovation, and sustained competitive advantage.