Data Storytelling Atlas

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  "name": "Data Storytelling Atlas",
  "description": "Data Storytelling Atlas is a fictional OPF example for data storytelling teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.",
  "filename": "data-storytelling-atlas",
  "language": "english-ca",
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      "technicalFluency": "high",
      "decisionPower": "decision-maker",
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    "outcome": "Show regional patterns with maps, charts, and concise interpretation",
    "successCriteria": [
      "The audience can state the decision in one sentence.",
      "The owner and next checkpoint are explicit."
    ]
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      "Make the decision visible.",
      "Use concrete operating language."
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    "avoid": [
      "Do not bury the ask.",
      "Do not over-explain obvious context."
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  },
  "narrative": {
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    "description": "Data Storytelling Atlas uses a compact evidence-to-decision arc for Civic Data Lab.",
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        "name": "Context",
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      {
        "id": "evidence",
        "name": "Evidence",
        "slideType": "chart",
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      {
        "id": "commitment",
        "name": "Commitment",
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  "design": {
    "theme": "dark",
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        "signal": "#334155",
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    "footer": {
      "left": {
        "organization": true
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      "center": {
        "text": "Internal planning draft"
      },
      "right": {
        "slideNumber": true
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    "slideImage": {
      "src": "asset:cover-bg",
      "position": "left"
    }
  },
  "slides": [
    {
      "id": "s1",
      "section": "Opening",
      "layout": "title-subtitle",
      "tag": "Data storytelling",
      "title": "Data Storytelling Atlas",
      "subtitle": "Civic Data Lab Data storytelling",
      "notes": "Open by naming the decision: Show regional patterns with maps, charts, and concise interpretation."
    },
    {
      "id": "s2",
      "section": "Context",
      "layout": "text-3x",
      "title": "Why This Matters",
      "text": [
        "Civic Data Lab should focus the next cycle on ",
        {
          "text": "show regional patterns with maps, charts, and concise interpretation",
          "bold": true,
          "color": "#B45309"
        },
        " while making the operating tradeoffs clear to data storytelling stakeholders."
      ]
    },
    {
      "id": "s3",
      "section": "Evidence",
      "layout": "chart-3x",
      "title": "Signal Trend",
      "type": "chart",
      "chart": {
        "type": "bullet-column",
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          "columns": [
            "Quarter",
            "Current",
            "Baseline"
          ],
          "rows": [
            [
              "Q1",
              25,
              22
            ],
            [
              "Q2",
              29,
              24
            ],
            [
              "Q3",
              32,
              26
            ],
            [
              "Q4",
              36,
              28
            ]
          ]
        }
      }
    },
    {
      "id": "s4",
      "section": "Options",
      "layout": "table-1x",
      "title": "Decision Options",
      "table": {
        "columns": [
          "Workstream",
          "Owner",
          "Status",
          "Decision"
        ],
        "rows": [
          [
            "Data storytelling",
            "Program lead",
            "At risk",
            "Continue"
          ],
          [
            "Data and reporting",
            "Analytics",
            "On track",
            "Tighten metric definitions"
          ],
          [
            "Field adoption",
            "Operations",
            "Watch",
            "Add weekly office hours"
          ]
        ]
      }
    },
    {
      "id": "s5",
      "section": "Plan",
      "layout": "text-2x",
      "title": "Execution Timeline",
      "type": "timeline",
      "timeline": {
        "name": "Data storytelling execution path",
        "description": "Major milestones for Civic Data Lab.",
        "events": [
          {
            "when": "Jul",
            "what": "Baseline",
            "description": "Confirm current state, owners, and constraints."
          },
          {
            "when": "Aug",
            "what": "Pilot",
            "description": "Run a narrow pilot with visible success criteria."
          },
          {
            "when": "Sep",
            "what": "Scale",
            "description": "Expand the approach after risk review."
          },
          {
            "when": "Oct",
            "what": "Embed",
            "description": "Move reporting and routines into steady-state operations."
          }
        ]
      }
    },
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      "section": "Operating model",
      "layout": "number-3x",
      "title": "Operating Model",
      "top:left": {
        "metric": {
          "value": "11 days",
          "label": "Primary signal",
          "description": "Show regional patterns with maps, charts, and concise interpretation",
          "trend": "down"
        }
      },
      "top:center+right": {
        "text": [
          "Civic Data Lab should focus the next cycle on ",
          {
            "text": "show regional patterns with maps, charts, and concise interpretation",
            "bold": true,
            "color": "#B45309"
          },
          " while making the operating tradeoffs clear to data storytelling stakeholders."
        ]
      },
      "middle+bottom:left": {
        "quote": {
          "text": "The path is workable if we keep the metric simple and the decision owner visible.",
          "attribution": "Data storytelling working group",
          "source": "Stakeholder interview"
        }
      },
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            "Workstream",
            "Owner",
            "Status",
            "Decision"
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              "Data storytelling",
              "Program lead",
              "At risk",
              "Continue"
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              "Data and reporting",
              "Analytics",
              "On track",
              "Tighten metric definitions"
            ],
            [
              "Field adoption",
              "Operations",
              "Watch",
              "Add weekly office hours"
            ]
          ]
        }
      },
      "notes": "Use this slide to slow the conversation down around ownership and operating rhythm."
    },
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      "section": "Evidence",
      "layout": "number-4x",
      "title": "Evidence Pack",
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                  17,
                  14
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                  "Q2",
                  21,
                  16
                ],
                [
                  "Q3",
                  24,
                  18
                ],
                [
                  "Q4",
                  28,
                  20
                ]
              ]
            }
          }
        },
        {
          "quote": {
            "text": "Teams already know where the friction is; the deck makes the sequence of choices explicit.",
            "attribution": "Program sponsor",
            "source": "Planning interview"
          }
        },
        {
          "metric": {
            "value": "91%",
            "label": "Expected improvement",
            "unit": "%",
            "delta": "+6 pts",
            "trend": "up"
          }
        }
      ]
    },
    {
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      "section": "Context",
      "layout": "image-2x",
      "title": "Field Context",
      "type": "image",
      "image": {
        "src": "asset:supporting-photo",
        "alt": "Data storytelling context photo for Civic Data Lab",
        "title": "Data storytelling context"
      },
      "notes": "Use the image as context, not decoration."
    },
    {
      "id": "s99-code",
      "section": "Appendix",
      "layout": "code-1x",
      "title": "Decision Rule",
      "code": {
        "source": "const score = urgency * confidence;\nif (score >= threshold) {\n  routeToSponsor(workstream);\n} else {\n  keepInWeeklyReview(workstream);\n}",
        "language": "ts",
        "filename": "data-storytelling-atlas-rule.ts"
      },
      "hidden": false
    },
    {
      "id": "s10",
      "section": "Close",
      "layout": "list-6x",
      "title": "Decision and Follow Through",
      "items": [
        [
          "Commit to ",
          {
            "text": "show regional patterns with maps, charts, and concise interpretation",
            "bold": true
          }
        ],
        {
          "text": "Name the sponsor and operating owner.",
          "description": "Keep one person accountable for momentum."
        },
        {
          "text": "Publish the progress rhythm.",
          "description": "Use the same metric definitions every week."
        },
        {
          "text": "Return with proof.",
          "description": "Bring customer, employee, resident, or learner evidence into the next review."
        }
      ]
    }
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      "socials": {
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    },
    {
      "id": "civic-data-lab-partner",
      "name": "Data Storytelling Partner Office",
      "role": "partner",
      "domain": "partner-civic-data-lab.example"
    }
  ],
  "speaker": {
    "id": "speaker",
    "name": "Samira Okafor",
    "title": "Chief of Staff",
    "organizationId": "civic-data-lab",
    "bio": "Leads data storytelling planning for Civic Data Lab.",
    "socials": {
      "x": "@civic-data-lab-speaker"
    }
  },
  "author": "OPF Example Generator",
  "takeaway": "Show regional patterns with maps, charts, and concise interpretation",
  "duration": 31,
  "tags": [
    "design-and-media",
    "data-storytelling",
    "sell",
    "authoritative",
    "dense"
  ],
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      "src": "./assets/civic-data-lab-logo.svg",
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    "cover-bg": {
      "src": "./assets/civic-data-lab-cover-4.jpg",
      "alt": "Data storytelling background image",
      "mediaType": "image/jpeg"
    },
    "supporting-photo": {
      "src": "./assets/civic-data-lab-field-photo.jpg",
      "alt": "Data storytelling field context",
      "mediaType": "image/jpeg"
    },
    "demo-video": {
      "src": "./media/civic-data-lab-demo.mp4",
      "title": "Data storytelling walkthrough",
      "mediaType": "video/mp4"
    },
    "metric-data": {
      "src": "./data/data-storytelling-atlas.csv",
      "format": "csv",
      "title": "Data Storytelling Atlas data"
    },
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      "src": "./assets/civic-data-lab-watermark.png",
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      "density": "dense",
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