{
  "platformId": "chatgpt-work",
  "taskSlug": "task-21593",
  "directAnswer": "Use ChatGPT Work to turn the dated financial, business, industry, and economic evidence you supply into an investment-decision review packet: separate observed data from assumptions, make scenario mechanics visible, and show which inputs change the result. It can reconcile evidence, calculate scenarios, and surface uncertainty; it cannot establish a house view, determine suitability, approve a recommendation, trade, communicate an investment decision, or represent a forecast as fact. The task-rating evidence for this role is unavailable, so this is a controlled preparation workflow—not a claim about current use or importance.",
  "topUseCases": [
    {
      "interventionId": "task-21593:scenario-forecast-with-spine:recommend",
      "taskId": "task-21593",
      "task": "Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions.",
      "workflowId": "scenario-forecast-with-spine",
      "authorityMode": "recommend",
      "centralityScreen": {
        "value": null,
        "importance": null,
        "occupationalRelevance": null,
        "frequency": {
          "kind": "unavailable",
          "reason": "O*NET 30.3 publishes task statements for 13-2051.00 while task-rating collection remains in progress; no importance, relevance, or frequency rows are available.",
          "sourceField": "onet-30.3:Task Ratings[13-2051.00]=no-rows"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-21593].observed-distribution"
      },
      "evidenceConfidence": "unavailable",
      "withinGateScore": null,
      "gate": {
        "status": "limited",
        "reason": "Authority remains below an approval-required intervention."
      },
      "capabilityIds": [
        "connected-apps-files",
        "deliverable-generation",
        "long-running-projects"
      ],
      "expectedArtifact": "Base, bull, and bear scenarios with named assumptions, sensitivities, and an as-of date on every input",
      "humanReviewPoint": "The investment judgment and any recommendation are yours; this guide keeps suitability human, with the specifics defined by your compliance function.",
      "riskLevel": "high"
    }
  ],
  "workflows": [
    {
      "id": "scenario-forecast-with-spine",
      "goal": "Build a scenario forecast whose assumption spine is fully visible, from data the analyst supplies, with the judgment left human.",
      "inputs": [
        "Your data: series, filings, model inputs, with their vintages",
        "Your priors and constraints for the scenarios"
      ],
      "connectedSystems": [
        "Spreadsheet or model surface",
        "Document repository"
      ],
      "steps": [
        "Stamp every input with its as-of date and source; the occupational data here carries labor-market evidence, not live market data, and the draft says so.",
        "Build base, bull, and bear scenarios with every assumption on its own line.",
        "Run sensitivity on the three assumptions doing the most work.",
        "State in-band what the analysis cannot see; ship scenarios, never point predictions with false precision."
      ],
      "expectedArtifact": "Scenario set with assumption spine, sensitivities, and stated blind spots",
      "starterPrompt": "Here is my data with vintages, and my priors. Build base, bull, and bear scenarios with every assumption on its own line, run sensitivity on the three assumptions that matter most, and stamp an as-of date on every input. State what the analysis cannot see. If I ask you to predict what the Fed will do, decline and give me the scenario framework with my own priors instead.",
      "humanReviewPoint": "Scenario selection, the house view, and anything that becomes a recommendation are yours.",
      "commonFailure": "A forecast that hides stale inputs or ships a point prediction whose precision the data cannot support."
    }
  ],
  "setupRecommendations": [
    {
      "item": "Use a mandate- and analysis-scoped, read-only workspace containing dated source data, model versions, approved methodology, and compliance requirements; keep trading, recommendation publication, client records, and external communication disconnected.",
      "rationale": "Investment analysis depends on traceable evidence and a visible assumption spine, not authority to determine a recommendation, suitability, or action.",
      "capabilityIds": [
        "connected-apps-files",
        "approval-enterprise-controls"
      ]
    }
  ],
  "prompts": [
    {
      "id": "forecast-spine",
      "title": "Build the forecast, show the spine",
      "prompt": "Here is my data. Build the base, bull, and bear scenarios with every assumption on its own line, sensitivity on the three that matter most, and an explicit as-of date on every input.",
      "expectedArtifact": "Scenario set with assumption spine",
      "humanReviewPoint": "The house view and any recommendation are yours."
    }
  ],
  "humanOwnedResponsibilities": [
    "Evidence-and-cut-off law: the accountable analyst fixes the source population, as-of date, data lineage, model version, and missing-data treatment before interpreting results",
    "Observation-and-scenario law: historical result, estimate, forecast, sensitivity, scenario, probability, recommendation, and outcome are different statements",
    "Mandate-and-suitability law: an analysis cannot infer an investor's objectives, constraints, risk tolerance, eligibility, authority, or investment horizon",
    "Recommendation-and-action law: a model output is not a house view, investment recommendation, approval, order, trade, or client communication",
    "Review-and-record law: authorized investment, risk, compliance, and relationship owners decide what analysis is approved, retained, communicated, or acted on"
  ],
  "risks": [
    {
      "id": "task-21593-scaffold-risk",
      "level": "high",
      "description": "A clean scenario can mix vintages, turn an assumption into an observed fact, hide concentration or model limitations, or make an illustrative forecast appear to be a recommendation.",
      "mitigation": "Bind every input and output to source, date, model, assumption, and evidence state; show sensitivities and unresolved gaps; and require authorized investment, risk, compliance, and relationship review before recommendation, communication, or action."
    }
  ],
  "sources": [
    {
      "id": "occupation-financial-and-investment-analysts",
      "title": "Financial and Investment Analysts occupational render model",
      "url": "https://singulariki.com/roles/financial-and-investment-analysts",
      "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
  }
}