{
  "platformId": "chatgpt-work",
  "taskSlug": "task-18868",
  "directAnswer": "Use ChatGPT Work to build a consistent qualification-to-requirement evidence matrix from the same authorized job criteria and application fields for every candidate. It may cite where evidence supports, contradicts, or does not establish a requirement and flag criteria that may act as unlawful or irrelevant proxies. Keep the matrix from becoming a verdict. Missing evidence is not a failed qualification; polished prose is not stronger evidence; and similarity to prior hires is not job relatedness. ChatGPT must not infer protected traits, rank people, reject applicants, advance a shortlist, contact candidates, or write back to the applicant system. The attached figures are projected role-task priors, not measured ChatGPT adoption by human resources specialists, so they support a controlled trial rather than a claim about current practice.",
  "topUseCases": [
    {
      "interventionId": "task-18868:screening-evidence-matrix:recommend",
      "taskId": "task-18868",
      "task": "Review employment applications and job orders to match applicants with job requirements.",
      "workflowId": "screening-evidence-matrix",
      "authorityMode": "recommend",
      "centralityScreen": {
        "value": 0.12638960879999997,
        "importance": {
          "value": 0.7949999999999999,
          "sourceField": "role-tasks-kv:task-18868.importance"
        },
        "occupationalRelevance": {
          "value": 0.9308,
          "sourceField": "role-tasks-kv:task-18868.relevance / 100"
        },
        "frequency": {
          "kind": "modal-response-share",
          "modalResponseSharePct": 17.08,
          "collectionDate": "2026-06-03",
          "sourceField": "role-tasks-kv:task-18868.modalResponseSharePct"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-18868].projected-role-task-prior"
      },
      "evidenceConfidence": "weak",
      "withinGateScore": 0.10265995974779997,
      "gate": {
        "status": "limited",
        "reason": "Authority remains below an approval-required intervention."
      },
      "capabilityIds": [
        "connected-apps-files",
        "deliverable-generation"
      ],
      "expectedArtifact": "Qualification-to-requirement evidence matrix, same format and audit trail for every candidate",
      "humanReviewPoint": "The shortlist and every selection decision are yours with documented rationale; the matrix is evidence, not a verdict.",
      "riskLevel": "high"
    }
  ],
  "workflows": [
    {
      "id": "screening-evidence-matrix",
      "goal": "Turn applications and job requirements into an evidence matrix that supports a human selection decision without becoming one.",
      "inputs": [
        "Job requirements",
        "Anonymized applications",
        "Your selection-decision protocol"
      ],
      "connectedSystems": [
        "Applicant tracker export",
        "Document repository"
      ],
      "steps": [
        "Match qualifications to requirements with cited evidence per candidate, same format for all.",
        "Work from qualifications only; flag any requirement criterion that could proxy a protected characteristic.",
        "Produce the audit trail: what was compared, what evidence supported each match, what was not evaluated.",
        "Stop at the matrix: ranking candidates for rejection is declined; the decision protocol is human."
      ],
      "expectedArtifact": "Per-candidate evidence matrix with audit trail and proxy-criterion flags",
      "starterPrompt": "Here are the job requirements and anonymized applications. Match qualifications to requirements with cited evidence per candidate, do not infer or report protected characteristics; flag job criteria that may operate as proxies, and give me the audit trail in the same format for everyone. The shortlist decision is mine; if I ask you to rank and reject the bottom half, decline and give me the evidence matrix instead.",
      "humanReviewPoint": "This guide treats selection as a human decision with documented rationale; adverse-impact hygiene is structural in the matrix, not optional.",
      "commonFailure": "A matrix that quietly becomes a ranking, or requirement criteria that proxy protected traits passing through unflagged."
    }
  ],
  "setupRecommendations": [
    {
      "item": "Use a fixed, approved requirement rubric; provide only minimum-necessary, preferably anonymized application evidence through read-only sources; keep ranking, status-change, and candidate-contact permissions disabled.",
      "rationale": "Applicant matching is defensible only when job relatedness, evidence rules, and treatment are fixed before review and every candidate receives the same comparison without protected-trait inference.",
      "capabilityIds": [
        "connected-apps-files",
        "approval-enterprise-controls"
      ]
    }
  ],
  "prompts": [
    {
      "id": "screening-guardrails",
      "title": "Screen with guardrails",
      "prompt": "Here are the job requirements and anonymized applications. Match qualifications to requirements with cited evidence per candidate; do not infer or report protected characteristics; flag job criteria that may operate as proxies; and give me the audit trail. The shortlist decision is mine.",
      "expectedArtifact": "Evidence matrix with audit trail and proxy-criterion flags",
      "humanReviewPoint": "You make the shortlist with documented rationale."
    }
  ],
  "humanOwnedResponsibilities": [
    "Job-relatedness law: humans approve each requirement, its necessity, evidence rule, weighting, and any lawful accommodation before screening",
    "Same-treatment law: the same rubric, source fields, evidence states, and review procedure apply to every candidate in the comparison population",
    "No-inference law: protected characteristics, health, family status, age, origin, religion, disability, and proxy traits are neither inferred nor used",
    "Missing-evidence law: absent or ambiguous application evidence is recorded as NOT ESTABLISHED, not converted into a negative fact or automatic rejection",
    "Selection law: shortlist, interview, rejection, accommodation, adverse-action, communication, and applicant-system updates remain human decisions and actions"
  ],
  "risks": [
    {
      "id": "task-18868-scaffold-risk",
      "level": "high",
      "description": "An evidence matrix can disguise inconsistent treatment, convert missing information into failure, import proxy criteria, or become an automated ranking that determines who receives an opportunity.",
      "mitigation": "Freeze and approve a job-related rubric before review, minimize and anonymize inputs, use identical evidence states for all candidates, audit proxy criteria and population treatment, and require documented human selection decisions."
    }
  ],
  "sources": [
    {
      "id": "occupation-human-resources-specialists",
      "title": "Human Resources Specialists occupational render model",
      "url": "https://singulariki.com/roles/human-resources-specialists",
      "publisher": "gold.onet_role_starter_surface",
      "lastReviewedAt": "2026-06-03"
    },
    {
      "id": "openai-chatgpt-work",
      "title": "ChatGPT Work and Codex",
      "url": "https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-deliverables",
      "title": "Creating and editing documents, spreadsheets, and presentations with ChatGPT Work",
      "url": "https://help.openai.com/en/articles/20001278-creating-and-editing-documents-spreadsheets-and-presentations-with-chatgpt-work",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-cloud-browser",
      "title": "Using cloud browser in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001280-using-cloud-browser-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-desktop-browser",
      "title": "Using the built-in browser in the ChatGPT desktop app",
      "url": "https://help.openai.com/en/articles/20001277-using-the-built-in-browser-in-the-chatgpt-desktop-app",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-skills",
      "title": "Skills in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001066",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-scheduled-tasks",
      "title": "Scheduled Tasks in ChatGPT",
      "url": "https://help.openai.com/en/articles/10291617-tasks-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-workspace-agents",
      "title": "ChatGPT Workspace Agents for Enterprise and Business",
      "url": "https://help.openai.com/en/articles/20001143",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    }
  ],
  "freshness": {
    "platformVersion": "2026-07-09-launch",
    "platformReviewedAt": "2026-07-11",
    "occupationalDataVersion": "O*NET 30.3",
    "occupationalDataGeneratedAt": "2026-06-03T05:05:52.989984+00:00"
  },
  "quality": {
    "uniqueOccupationalOrTaskEvidence": false,
    "validPlatformSpecificWorkflow": true,
    "clearOutputArtifact": true,
    "realCapabilityMatch": true,
    "meaningfulHumanReviewSection": true,
    "sourcesAndFreshness": false,
    "distinctInternalRelationships": true,
    "noUnresolvedFactualOrProductVersionFailure": false,
    "indexable": false
  }
}