{
  "registry_version": "2026.08.2",
  "count": 6,
  "items": [
    {
      "title": "Auto-Close Stale Job Requisitions",
      "status": "active",
      "evidence_ids": [
        "EVD-004"
      ],
      "content": "# Auto-Close Stale Job Requisitions\n\nImplement automated ATS policy to expire public listings when headcount authorization lapses or no interview activity occurs within 60 days.\n\n### Expected Effects\n- Reduce stale public listings and candidate application waste\n- Reduce ambiguous post-application silence\n\n### Measurements\n- `stale_requisition_rate`\n- `closure_latency_days`",
      "id": "I-001",
      "type": "intervention",
      "summary": "Implement automated ATS policy to expire public listings when headcount authorization lapses or no interview activity occurs within 60 days.",
      "targets": [
        "M-006",
        "B-001",
        "P-002",
        "L-003"
      ],
      "actor": "employer-policy",
      "scope": "organizational",
      "cost": "low",
      "evidence_level": "supported",
      "expected_effects": [
        "Reduce stale public listings and candidate application waste",
        "Reduce ambiguous post-application silence"
      ],
      "measurements": [
        "stale_requisition_rate",
        "closure_latency_days"
      ]
    },
    {
      "title": "Upfront Compensation Band Disclosure",
      "status": "active",
      "evidence_ids": [
        "EVD-005"
      ],
      "content": "# Upfront Compensation Band Disclosure\n\nPublish verified salary and equity bands directly in job descriptions or disclose them prior to scheduling technical interview rounds.\n\n### Expected Effects\n- Eliminate late-stage compensation mismatch dropouts\n- Reduce time wasted on mismatched leveling conversations\n\n### Measurements\n- `late_stage_compensation_drop_rate`\n- `candidate_pipeline_satisfaction`",
      "id": "I-002",
      "type": "intervention",
      "summary": "Publish verified salary and equity bands directly in job descriptions or disclose them prior to scheduling technical interview rounds.",
      "targets": [
        "M-004",
        "B-004",
        "B-009",
        "P-001",
        "P-004"
      ],
      "actor": "employer-policy",
      "scope": "industry",
      "cost": "low",
      "evidence_level": "supported",
      "expected_effects": [
        "Eliminate late-stage compensation mismatch dropouts",
        "Reduce time wasted on mismatched leveling conversations"
      ],
      "measurements": [
        "late_stage_compensation_drop_rate",
        "candidate_pipeline_satisfaction"
      ]
    },
    {
      "title": "Standardized Late-Stage Rejection Feedback Taxonomy",
      "status": "active",
      "evidence_ids": [
        "EVD-006"
      ],
      "content": "# Standardized Late-Stage Rejection Feedback Taxonomy\n\nProvide candidates reaching technical or panel stages with structured, rubric-based feedback categories rather than generic templates.\n\n### Expected Effects\n- Provide actionable feedback signals to candidates\n- Enforce consistent interviewer calibration across rounds\n\n### Measurements\n- `informative_feedback_ratio`\n- `interviewer_calibration_variance`",
      "id": "I-003",
      "type": "intervention",
      "summary": "Provide candidates reaching technical or panel stages with structured, rubric-based feedback categories rather than generic templates.",
      "targets": [
        "M-001",
        "M-010",
        "B-007",
        "B-008",
        "P-001",
        "P-002",
        "L-003"
      ],
      "actor": "recruiter-process",
      "scope": "organizational",
      "cost": "medium",
      "evidence_level": "supported",
      "expected_effects": [
        "Provide actionable feedback signals to candidates",
        "Enforce consistent interviewer calibration across rounds"
      ],
      "measurements": [
        "informative_feedback_ratio",
        "interviewer_calibration_variance"
      ]
    },
    {
      "title": "Remove Career Gap Feature from Automated Ranking Models",
      "status": "active",
      "evidence_ids": [
        "EVD-003"
      ],
      "content": "# Remove Career Gap Feature from Automated Ranking Models\n\nDisable employment duration gap penalties in recruitment AI algorithms and screening models.\n\n### Expected Effects\n- Break algorithmic unemployment penalty loop\n- Broaden candidate pool to include skilled returning talent\n\n### Measurements\n- `gap_candidate_screen_rate`\n- `long_term_placement_success`",
      "id": "I-004",
      "type": "intervention",
      "summary": "Disable employment duration gap penalties in recruitment AI algorithms and screening models.",
      "targets": [
        "M-011",
        "L-001"
      ],
      "actor": "ats-vendor",
      "scope": "ecosystem",
      "cost": "low",
      "evidence_level": "supported",
      "expected_effects": [
        "Break algorithmic unemployment penalty loop",
        "Broaden candidate pool to include skilled returning talent"
      ],
      "measurements": [
        "gap_candidate_screen_rate",
        "long_term_placement_success"
      ]
    },
    {
      "title": "Candidate ATS Parser Conformance Test Utility",
      "status": "active",
      "evidence_ids": [
        "EVD-001"
      ],
      "content": "# Candidate ATS Parser Conformance Test Utility\n\nProvide candidates with an open-source parsing validation tool to verify CV machine-readability before submission.\n\n### Expected Effects\n- Eliminate formatting-induced silent parsing failures\n- Increase candidate confidence in resume ingestion fidelity\n\n### Measurements\n- `parser_extraction_error_rate`\n- `ingestion_pass_rate`",
      "id": "I-005",
      "type": "intervention",
      "summary": "Provide candidates with an open-source parsing validation tool to verify CV machine-readability before submission.",
      "targets": [
        "M-003",
        "B-002",
        "P-003"
      ],
      "actor": "candidate-action",
      "scope": "individual",
      "cost": "low",
      "evidence_level": "supported",
      "expected_effects": [
        "Eliminate formatting-induced silent parsing failures",
        "Increase candidate confidence in resume ingestion fidelity"
      ],
      "measurements": [
        "parser_extraction_error_rate",
        "ingestion_pass_rate"
      ]
    },
    {
      "title": "Strict Take-Home Timebox & Blinded Evaluation Rubric",
      "status": "active",
      "evidence_ids": [
        "EVD-006"
      ],
      "content": "# Strict Take-Home Timebox & Blinded Evaluation Rubric\n\nEnforce strict 3-hour scope limits on take-homes, compensate candidates for extended samples, and grade submissions blind.\n\n### Expected Effects\n- Prevent reviewer fatigue and asymmetric code evaluation\n- Respect candidate time investment and eliminate IP exploitation concerns\n\n### Measurements\n- `take_home_completion_rate`\n- `inter_rater_rubric_correlation`",
      "id": "I-006",
      "type": "intervention",
      "summary": "Enforce strict 3-hour scope limits on take-homes, compensate candidates for extended samples, and grade submissions blind.",
      "targets": [
        "M-019",
        "L-002",
        "B-006"
      ],
      "actor": "hiring-manager",
      "scope": "organizational",
      "cost": "medium",
      "evidence_level": "supported",
      "expected_effects": [
        "Prevent reviewer fatigue and asymmetric code evaluation",
        "Respect candidate time investment and eliminate IP exploitation concerns"
      ],
      "measurements": [
        "take_home_completion_rate",
        "inter_rater_rubric_correlation"
      ]
    }
  ]
}