Recruiting & Sourcing
Deep Match
Also: 3x3 Matching · Multi-Touchpoint Matching
Deep Match is the voccess approach that goes beyond simple keyword matching by aligning on three levels: Company Fit (culture, values, strategy), Team & Role Fit (leadership, team context, personality), and Task Fit (tasks, skills, responsibility).
Key Points
- Deep Match examines three fit levels simultaneously: Company Fit, Team & Role Fit, and Task Fit.
- Instead of just reading the resume, the approach collects structured data across multiple touchpoints.
- The goal is higher placement quality and more sustainable retention—not just "fits on paper."
- As with any matching, the AI suggests, the human decides (GDPR Art. 22, EU AI Act).
- The approach reduces misplacements by also considering culture and team context.
Which three levels does Deep Match examine?
Many misplacements arise not due to a lack of professional qualifications but because culture, team, or leadership do not align. Deep Match addresses this by consciously considering fit on three levels simultaneously, instead of relying on resume matching alone.
- Company Fit: Do the company's values, culture, and strategic direction match the person?
- Team & Role Fit: Do leadership style, team context, collaboration, and personality align with the specific role?
- Task Fit: Do the actual tasks, required skills, and responsibilities match the person?
Only when a solid fit exists on all three levels does Deep Match consider it a truly good match. A candidate may excel professionally (Task Fit) but still not fit the team or culture—and vice versa.
Why isn't keyword matching sufficient?
Keyword Matching
A system counts matches in the resume—whoever uses the right words ranks higher, regardless of cultural and team fit.
Deep Match
The alignment considers not only tasks but also culture, team context, and personality—aiming for a fit that lasts beyond the first day.
To fill the three levels, Deep Match collects structured data across multiple touchpoints—for example, in the onboarding profile, discussions, and targeted questions—instead of relying solely on resumes. This creates a much richer picture than simple keyword matching.
How do AI and humans interact in Deep Match?
AI structures, humans decide
Deep Match uses AI to structure data, recognize similarities, and generate evidence-based suggestions. The selection and recruitment decision is made by an experienced consultant—in line with GDPR Art. 22 and the EU AI Act, which categorizes recruiting systems as high-risk.
The added value lies in the combination: the AI processes structured signals across all three levels faster and more consistently than is manually possible; human consulting evaluates context, nuances, and the individual situation. The goal is not the fastest but the most sustainable placement—measured by quality and retention.
Frequently Asked Questions
- Is Deep Match purely an AI tool?
- No. Deep Match is a consulting approach that uses AI as a tool. The technology structures data and generates reasoned suggestions across the three fit levels; decision-making and personal consulting remain human responsibilities. This also meets the requirements of GDPR and the EU AI Act.
- What does the triple assessment specifically bring?
- It reduces the risk of misplacements that, despite professional suitability, fail due to cultural or team issues. By considering Company Fit, Team & Role Fit, and Task Fit together, Deep Match aims for a more sustainable match and longer tenure for the recruited person.