Encontre o Candidato Certo, Não Apenas a Palavra-Chave Certa With Evidence.
A pesquisa por palavras-chave erra os melhores candidatos. A correspondência semântica com IA entende o significado — encontrando "Diretor de Receita" quando pesquisa "VP de Vendas".
O Problema com a Pesquisa por Palavras-Chave reviewable.
Os sistemas ATS tradicionais perdem candidatos qualificados porque não entendem o significado — apenas as palavras.
Finds: profiles containing the entered terms
- Also review: 'Backend Engineer' (Python stack)
- Also review: 'Data Engineer' (Python pipelines)
- Also review: 'ML Engineer' (TensorFlow = Python)
Review question: which relevant context is missing?
Finds: entered terms and related signals to review
- + 'Backend Engineer' (Python-heavy)
- + 'Data Engineer' (Python data work)
- + 'ML Engineer' (Python ML frameworks)
Result: context signals support human review
How AI Semantic Matching Works.
Yena connects role context with visible signals. Recruiters review the interpretation and decide what happens next.
Job Title Variations
Groups related job titles and seniority terms as signals for review. The brief and recruiter determine the concrete fit.
Search 'Senior Engineer' can surface related titles
Skill Context & Tech Stacks
'Python' includes Django (web), Pandas (data), TensorFlow (ML), Ansible (DevOps)—different contexts for different roles.
Search 'Backend Python' prioritizes Django/Flask
Industry-Specific Expertise
Adds industry and practice context as signals without deciding professional eligibility automatically.
Search 'Primary Care' makes context visible
Experience Level Nuance
Considers experience scope and responsibility. Recruiters check whether the evidence fits the specific brief.
Search for plant leadership includes responsibility scope
Practice Specialization
Can surface specialisations and project signals in the context of a request; the recruiting team makes the professional selection.
Search for M&A experience makes project signals visible
Human review
Work with the available profile and search signals. Check results for freshness, purpose and unresolved questions.
Add a new term when the brief or market context requires it
Illustrative Examples.
Healthcare: 'Primary Care Physician'
Search briefing:
The setting, care focus and exclusions need to be agreed for the assignment.
Yena context signals:
- Shows: possible profiles and the visible signals behind them
- Review question: does the practice setting fit the brief?
Illustrative briefing: recruiters review context and sources
Legal: 'M&A Tax Attorney'
Search briefing:
A title alone does not show which transaction experience the assignment requires.
Yena context signals:
- Shows: possible tax profiles with visible project signals
- Project signals: experience with M&A transactions
Illustrative comparison: recruiters review transaction type and evidence
Manufacturing: 'Plant Manager with Industry 4.0'
Search briefing:
An industry term can be too broad without project and responsibility evidence.
Yena context signals:
- Signals: led smart-factory and digitalisation projects
- Technology: IoT sensors, MES, digital twin
Illustrative comparison: recruiters review projects, signals and technology context
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