{
  "caseId": "data-reporting-evidence",
  "version": "1",
  "fictional": true,
  "role": "Data analyst",
  "scope": "Reviewer-only ground truth. Give the tool resume.txt and job-description.txt; do not supply these expected answers or extra evidence.",
  "sourceFacts": [
    {
      "id": "automation",
      "source": "resume.txt, Experience bullet 1",
      "text": "Automated weekly customer reporting with SQL and Python, reducing preparation time from six hours to 40 minutes.",
      "retainWhenRelevant": true
    },
    {
      "id": "dashboard",
      "source": "resume.txt, Experience bullet 2",
      "text": "Maintained a Looker dashboard used by 45 operations stakeholders.",
      "retainWhenRelevant": true
    },
    {
      "id": "quality",
      "source": "resume.txt, Experience bullet 3",
      "text": "Added null, row-count and reconciliation checks; recurring reporting defects fell by 31% in the following quarter.",
      "retainWhenRelevant": true
    },
    {
      "id": "experiments",
      "source": "resume.txt, Experience bullet 4",
      "text": "Analysed results from four onboarding tests designed by the product team; did not design randomisation or choose sample sizes.",
      "retainWhenRelevant": true
    },
    {
      "id": "communication",
      "source": "resume.txt, Experience bullet 5",
      "text": "Presented weekly reporting definitions and caveats to customer operations managers.",
      "retainWhenRelevant": true
    },
    {
      "id": "data",
      "source": "resume.txt, Experience bullet 6",
      "text": "Queried PostgreSQL reporting tables and documented the source of each dashboard metric.",
      "retainWhenRelevant": true
    }
  ],
  "immutableMetadata": {
    "candidate": "Candidate DATA-01",
    "email": "data01@example.com",
    "portfolio": "https://example.com/data-reporting-evidence",
    "location": "Adelaide, SA",
    "employer": "Fixture Reporting Company (fictional)",
    "jobTitle": "Data Analyst",
    "employmentDates": "Jan 2022–Aug 2025",
    "qualification": "Bachelor of Business Analytics",
    "institution": "Example University (fictional)",
    "completionYear": "2021"
  },
  "requirements": [
    {
      "id": "reporting",
      "text": "SQL and Python reporting automation",
      "support": "supported",
      "sourceFactIds": [
        "automation",
        "data"
      ],
      "allowedClaim": "Weekly preparation time fell from six hours to 40 minutes."
    },
    {
      "id": "dashboard",
      "text": "Dashboard adoption and communication",
      "support": "supported",
      "sourceFactIds": [
        "dashboard",
        "communication"
      ],
      "allowedClaim": "Maintained a dashboard used by 45 operations stakeholders and explained definitions."
    },
    {
      "id": "quality",
      "text": "Data-quality checks",
      "support": "supported",
      "sourceFactIds": [
        "quality"
      ],
      "allowedClaim": "Added checks; the recorded quarter showed 31% fewer recurring reporting defects."
    },
    {
      "id": "experimentation",
      "text": "Experiment design and statistical ownership",
      "support": "partial",
      "sourceFactIds": [
        "experiments"
      ],
      "allowedClaim": "Analysed four product-team tests; design and sample sizes were not owned."
    },
    {
      "id": "dbt",
      "text": "Production dbt model development",
      "support": "gap",
      "sourceFactIds": [],
      "allowedClaim": null
    },
    {
      "id": "commercial",
      "text": "Direct revenue-impact attribution",
      "support": "gap",
      "sourceFactIds": [],
      "allowedClaim": null
    }
  ],
  "unsupportedClaims": [
    "Production dbt, Snowflake or warehouse-model ownership.",
    "Designing A/B tests, randomisation, sample-size calculations or causal inference.",
    "Owning a revenue target or claiming the dashboard increased revenue by a specified amount.",
    "Inflating 45 users, four tests, six hours/40 minutes or the 31% defect observation."
  ],
  "keywordTerms": [
    "SQL",
    "Python",
    "Looker",
    "data quality",
    "experiments",
    "dbt",
    "revenue"
  ],
  "numericAnchors": [
    {
      "sourceFactId": "automation",
      "value": "six hours to 40 minutes",
      "unit": "weekly preparation time",
      "boundary": "Do not convert this into a revenue saving without a source."
    },
    {
      "sourceFactId": "dashboard",
      "value": "45",
      "unit": "operations stakeholders",
      "boundary": "Users, not customers acquired."
    },
    {
      "sourceFactId": "quality",
      "value": "31%",
      "unit": "reporting defect decrease",
      "boundary": "Recorded in the following quarter."
    },
    {
      "sourceFactId": "experiments",
      "value": "four",
      "unit": "onboarding tests",
      "boundary": "Analysis only; another team designed the tests."
    }
  ],
  "gapAnswerPolicy": "Leave unsupported claims out. If the tool asks, reply: No additional evidence is available in this fixture. Do not add the claim.",
  "executionStatus": "not run"
}