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Match Module – Overview

Description

The Match module is designed to support direct search, selection, and ranking of candidates by comparing structured candidate profiles (produced by the Screen module or imported manually) against job requirements or target profiles.

It enables organizations, recruitment agencies or HR platforms to efficiently identify the best-fitting candidates for roles — accelerating hiring processes and improving match quality.

Key Objectives

  • Semantic matching between candidates and job positions — evaluating compatibility based on skills, experience, education, and other profile attributes.
  • Ranking and prioritization of candidates — delivering ordered candidate lists sorted by affinity / relevance scores.
  • Support for direct search scenarios — enabling recruiters or HR users to perform ad-hoc searches (e.g. headhunting, proactive sourcing) even from large candidate pools.
  • Flexibility and modularity — usable in combination with Screen (to parse CVs) or standalone (when candidate data is already structured).

How It Works – High-Level Workflow

  1. Job / Requirement Definition The recruiter or system defines a job profile, role specification, or search criteria (skills, seniority, languages, location, etc.).

  2. Candidate Data Source

    • Option A: Profiles previously processed by Screen (structured data)
    • Option B: Existing normalized candidate database / repository
  3. Match Invocation The Match module receives the job profile and candidate pool, then computes a semantic affinity score for each candidate.

  4. Ranking & Results Delivery The system returns a ranked list of candidates, with scores and breakdown of how each candidate matches the job requirements (strengths, gaps, alignment).

  5. Selection & Workflow Integration Recruiters can shortlist, filter, or tag candidates for next steps (interviews, assessments, outreach) directly via their HR system or platform UI.

Core Benefits

  • Precision & Quality: semantic analysis ensures candidates are evaluated on content and relevance, not just keywords.
  • Speed & Efficiency: automates candidate screening at scale, reducing manual effort and accelerating time-to-hire.
  • Flexibility: works with fresh CVs (via Screen) or existing candidate pools — suitable for reactive or proactive hiring.
  • Scalability: ideal for environments with large candidate databases, recruitment agencies, or high-volume hiring cycles.
  • Better Matching Outcomes: improved candidate–job fit, reducing mismatches and increasing hiring success rates.

Ideal Use Cases

  • Direct Search & Headhunting — sourcing candidates for niche or senior roles within large talent pools.
  • Recruitment Agencies & Staffing Firms — rapid matching across many client requisitions and candidate profiles.
  • Corporate HR Departments — optimizing screening and shortlisting when there is a high volume of applications.
  • Talent Marketplaces / Job Boards — enabling automated candidate recommendations based on job postings.

Relationship with Other Modules

The Match module is designed to integrate seamlessly with the Screen module, but can also operate independently when structured candidate data is already available.

Typical combined workflow:

  • CV → Screen → structured profile → Match → ranked candidate list

This modularity enables adoption in diverse contexts: from full CV-to-hire pipelines to augmentation of existing HR / CRM systems.