Score Documentation

AI-driven evaluation portal for scoring tenders, recruitment, grants, and more

What is Score?

Score is an AI-powered evaluation platform that helps you objectively assess submissions, candidates, proposals, and applications. Define your criteria, upload documents, and let AI provide consistent, evidence-based scoring recommendations.

Key Features

  • Multi-Candidate Scoring: Compare multiple candidates, proposals, or submissions simultaneously against the same criteria
  • Criteria Matrices: Create weighted, points-based, or pass/fail evaluation frameworks with custom thresholds
  • Template Library: Pre-built domain models for recruitment, tenders, grants, and vendor selection
  • Document Analysis: Upload PDFs, Word docs, or paste text for AI-driven evaluation
  • Position Description Upload: For recruitment evaluations, upload PD documents to provide comprehensive role context
  • Comparison View: View all candidates ranked by score with detailed criteria breakdowns
  • Shortlisting Tools: Automatically select top N candidates or manually curate your shortlist
  • Manual Override: Override AI decisions with audit trail for compliance
  • Evidence Extraction: AI provides direct quotes and specific evidence from documents
  • Team Collaboration: Share evaluations across your organization

How It Works

Single Submission Evaluation

  1. Create an Evaluation: Start from a template or build custom criteria with weightings
  2. Upload Document: Add a single document (PDF, Word doc, or paste text) to be evaluated
  3. Run AI Analysis: AI extracts key information and scores against your criteria
  4. Review Results: Get detailed scores, justifications, and evidence for each criterion
  5. Manual Override: Override any AI decisions if needed with documented reasoning

Multi-Candidate Evaluation (Recruitment)

  1. Create Evaluation: Select the Recruitment template with 6 pre-configured criteria
  2. Upload Position Description (Optional): Provide role context for more accurate AI assessment
  3. Configure Criteria: Customize scoring criteria, weights, and AI guidance
  4. Submit Candidates: Add multiple candidates with their individual documents (resumes, cover letters)
  5. Run AI Analysis: AI scores each candidate against all criteria simultaneously
  6. View Comparison: See all candidates ranked by score with criteria breakdown in table or card view
  7. Shortlist: Auto-select top N candidates or manually curate your shortlist
  8. Export: Copy shortlist or export detailed comparison report

Use Cases

  • Recruitment Shortlisting: Score multiple candidate applications simultaneously to identify top talent for interviews. Upload the position description and evaluate all resumes against standardized criteria including qualifications, experience, references, and police checks.
  • Tender Evaluation: Score vendor proposals against technical, pricing, and delivery criteria. Compare multiple submissions to identify the best value provider.
  • Grant Assessment: Evaluate multiple grant applications for merit, feasibility, budget alignment, and impact. Rank applicants to make funding decisions.
  • Vendor Selection: Compare multiple service providers on quality, cost, support, and reliability to select the optimal partner.
  • RFP Responses: Systematically evaluate multiple responses to requests for proposal, ensuring consistent scoring across all submissions.
  • Compliance Checking: Use pass/fail criteria to verify regulatory requirements across multiple submissions (e.g., insurance certificates, certifications).

Scoring Models (Templates)

Score includes pre-configured domain models with industry-standard criteria and AI guidance:

  • Recruitment Assessment (Pass/Fail): 6 criteria designed for candidate shortlisting
    • IT Degree - Verification of IT or related field degree
    • Police Check - Evidence of background check documentation
    • Adobe Creative Cloud Skills - Demonstrated proficiency
    • Right to Work - Eligibility verification
    • Valid Driver's License - License confirmation
    • Salary Expectations - Budget alignment check
  • Tender Evaluation (Weighted): Technical capability (30%), Pricing (25%), Delivery (20%), References (15%), Innovation (10%)
  • Grant Assessment (Weighted): Project merit (30%), Feasibility (25%), Budget (20%), Impact (15%), Sustainability (10%)
  • Vendor Selection (Points): Service quality, Pricing, Support, Reliability, Integration

All templates can be customized to fit your specific needs. Modify criteria, adjust weightings, or add domain-specific AI guidance.

Getting Started

Quick Start - Recruitment Example

  1. Navigate to Score from your Launchpad
  2. Click "+ New Evaluation" from the Dashboard
  3. Step 1 - Basic Information:
    • Give your evaluation a descriptive title (e.g., "Web Developer - January 2025")
    • Select "Recruitment" as the evaluation type
    • Optionally upload the Position Description PDF for enhanced AI context
    • Fill in role details (job title, department, required qualifications, salary range)
  4. Step 2 - Scoring Criteria:
    • Select the "Recruitment Assessment" scoring model
    • Review the 6 suggested pass/fail criteria
    • Customize AI guidance for each criterion if needed
    • Mark mandatory criteria (e.g., Right to Work, Police Check)
  5. Step 3 - Submit Candidates:
    • Click "+ Add Candidate" to add each applicant
    • Enter candidate name, email, and reference number
    • Upload their resume/CV and cover letter, or paste text
    • Repeat for all candidates (you can add/edit/remove anytime)
  6. Start Scoring: Click "Save & Start Scoring" to begin AI analysis
  7. View Results: Monitor progress and view individual candidate scores as they complete
  8. Compare & Shortlist: Click "View Comparison" to see all candidates ranked together
  9. Make Decisions: Use auto-shortlist to select top N candidates or manually curate your list

Best Practices

  • Define Clear Criteria: Use specific, measurable criteria before starting evaluations. Vague criteria lead to inconsistent AI scoring.
  • Customize AI Guidance: Each criterion can have custom AI instructions. Be explicit about what constitutes pass/fail or high/low scores.
  • Use Position Descriptions: For recruitment, uploading the PD provides crucial role context that improves AI accuracy significantly.
  • Multi-Candidate Mode: When comparing multiple submissions (recruitment, grants, tenders), use multi-candidate mode for consistent scoring across all applicants.
  • Review AI Evidence: Always review the evidence quotes and reasoning provided by AI before making final decisions. AI highlights what it found in the documents.
  • Manual Override When Needed: If you have information not in the documents (e.g., sighted police check in person), use manual override with clear reasoning for audit trail.
  • Save Scoring Models: Create reusable scoring models for recurring evaluation types (e.g., quarterly recruitment for same role).
  • Consistent Weightings: Use consistent weightings across similar evaluations to ensure fair comparisons.
  • Document Format: PDFs and Word docs (.docx) work best. Ensure text is selectable (not scanned images) for optimal AI extraction.

Tips & Troubleshooting

  • Police Check False Positives: The AI has been specifically trained to distinguish between "references available" and actual police check documentation. Only explicit mention of background checks counts as valid.
  • Scoring Taking Too Long: Multi-candidate evaluations process each candidate sequentially. Scoring time = (candidates × criteria × ~5 seconds). A 5-candidate, 6-criteria evaluation takes approximately 2-3 minutes.
  • Viewing Progress: The evaluation page shows real-time progress. You can navigate away and return - scoring continues in the background.
  • Comparison View Not Showing: The "View Comparison" button only appears for multi-candidate evaluations that have status "completed" or "failed".
  • Export Options: Currently you can copy the shortlist to clipboard. CSV and PDF export features are coming soon.