Talent Scout revolutionizes your recruitment process by helping you evaluate, analyze, and manage candidates directly from platforms like LinkedIn and job boards. By reading the page content of your current browser, Talent Scout extracts and analyzes candidate information seamlessly. Here’s a step-by-step guide on how it works, where it works best, and how to get started.

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Step 1: Browse Supported Platforms

Talent Scout integrates seamlessly with platforms to evaluate candidate profiles directly:
  • LinkedIn: Reads and analyzes profiles from professional network pages.
  • Indeed: Extracts and analyzes resumes from one of the most popular job boards.
  • Naukri: Extracts and analyzes resumes from one of the most popular job boards.
  • Other Publicly Accessible Profiles: Talent Scout works on web pages with structured candidate data by reading the content directly from the browser.

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Where It Works Best

  • LinkedIn profile pages with complete candidate details (e.g., skills, experience).
  • Detailed resumes or profiles available on supported platforms.

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Where It Doesn’t Work

  • Generic pages without detailed candidate data (e.g., homepages or search results).
  • Examples:
    • Works: A LinkedIn profile with detailed information.
    • Doesn’t Work: LinkedIn job listings or home feeds lacking structured profiles.

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Step 2: Evaluate Candidate Profiles

  1. Navigate to a candidate’s profile on a supported platform.
  2. Open Talent Scout: Click the Talent Scout extension in your browser.
  3. Extract and Analyze: Talent Scout will dynamically extract details such as:
    • Name, experience, skills, and qualifications.
    • Contact information (if visible).
    • The AI assigns a match score based on the candidate’s suitability for your active job roles.

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Step 3: Add to Active Jobs

  1. Select an active job from your Algohire account.
  2. Click Add to Job to add the candidate directly to your job pipeline.
  3. The candidate’s profile will appear in your Algohire Recruiter Dashboard, ready for review.

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Step 4: Track Actions in History

  • Every evaluation is saved in your Talent Scout History.
  • Use this feature to revisit evaluated profiles and track past actions effortlessly.

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Understanding and managing variability in AI-generated scores.

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Why Do Scores Fluctuate?

The Talent Scout AI uses advanced models to analyze and score candidates. Slight variations in scores may occur due to:
  1. Probabilistic Nature of AI: AI models generate outputs based on probabilities, which can cause minor variations even with identical inputs.
  2. Input Differences: Small differences in formatting, updates to candidate profiles, or other contextual factors can affect the score.
  3. Dynamic Data: If the job description or candidate profile changes, the AI’s evaluation adapts accordingly.

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How It Works

The match score is calculated by:
  • Analyzing candidate details such as experience, skills, and qualifications.
  • Comparing this data to the requirements of the active job role.
  • Assigning a suitability score, which indicates how well the candidate aligns with the job.

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Mitigating Fluctuations

We understand that fluctuations can be confusing. To minimize their impact, Talent Scout:
  • Uses Deterministic Parameters: Our system is configured to ensure consistent analysis by controlling randomness in AI outputs.
  • Provides Transparency: All actions and scores are saved in the Talent Scout History for reference.

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