Japan Market Entry Readout

{
  "name": "Japan Market Entry Readout",
  "language": "ja",
  "audience": [
    "marketing"
  ],
  "purpose": "align",
  "tone": "technical",
  "narrative": "trend-analysis",
  "design": {
    "theme": "classic",
    "colorScheme": "deep-purple",
    "fontScheme": "calibri",
    "dimensions": {
      "preset": "16:10",
      "widthInches": 13.333,
      "heightInches": 8.333
    },
    "background": "light1",
    "titleAlignment": "left",
    "contentAlignment": "center",
    "contentBox": true,
    "contentDirection": "horizontal",
    "chartPrimary": "none",
    "imageFit": "cover",
    "listBullet": "character"
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  "slides": [
    {
      "id": "s1",
      "section": "Opening",
      "layout": "cover",
      "tag": "International expansion",
      "title": "Japan Market Entry Readout",
      "subtitle": "Northstar Robotics Japan International expansion",
      "notes": "Open by naming the decision: Localize sales motion and support model for Japan."
    },
    {
      "id": "s2",
      "section": "Context",
      "layout": "text",
      "title": "Why This Matters",
      "text": [
        "Northstar Robotics Japan should focus the next cycle on ",
        {
          "text": "localize sales motion and support model for japan",
          "bold": true,
          "color": "#334155"
        },
        " while making the operating tradeoffs clear to international expansion stakeholders."
      ]
    },
    {
      "id": "s3",
      "section": "Evidence",
      "layout": "chart",
      "title": "Signal Trend",
      "type": "chart",
      "chart": {
        "type": "filled-radar",
        "data": {
          "columns": [
            "Quarter",
            "Current",
            "Baseline"
          ],
          "rows": [
            [
              "Q1",
              17,
              14
            ],
            [
              "Q2",
              21,
              16
            ],
            [
              "Q3",
              24,
              18
            ],
            [
              "Q4",
              28,
              20
            ]
          ]
        }
      }
    },
    {
      "id": "s4",
      "section": "Next",
      "layout": "list",
      "title": "Next Steps",
      "items": [
        "Agree on the owner for international expansion.",
        "Confirm the reporting cadence.",
        "Return with the first progress readout."
      ]
    }
  ],
  "catalogs": {
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        "trend-analysis": {
          "name": "Trend Analysis",
          "summary": "Identify and discuss data-driven patterns to understand performance and forecast what's next. Useful for market reviews, strategic outlooks, and any deck where the audience must act on a direction-of-travel call.",
          "audienceFit": [
            "executives",
            "analysts",
            "leadership"
          ],
          "duration": {
            "min": 15,
            "max": 45
          },
          "tags": [
            "data-driven",
            "forecasting",
            "strategy",
            "analysis"
          ],
          "beats": [
            {
              "id": "introduction",
              "name": "Introduction",
              "description": "Open by establishing why this trend matters now. Tie it to a decision on the table or a forecast that's about to be made. Trends without consequences are filler.",
              "instructions": "Ignite interest, establish significance",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "historical-comparison",
              "name": "Historical Comparison",
              "description": "Contrast current data with the relevant past. Pick the comparison window that makes the trend visible without cherry-picking. Be honest about base effects.",
              "instructions": "Contrast current and past data",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "pattern-identification",
              "name": "Pattern Identification",
              "description": "Name the recurring outcome you've spotted. Use one or two strong charts that show the pattern unambiguously. Avoid overclaiming significance from a small N.",
              "instructions": "Point out recurring outcomes",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "future-prediction",
              "name": "Future Prediction",
              "description": "Project where the trend leads if it continues. Show the forecast and the confidence interval. State the assumptions that would have to break for the prediction to fail.",
              "instructions": "Predict using established patterns",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "action-plan",
              "name": "Action Plan",
              "description": "Translate the prediction into the strategy it implies. Specific actions, sequenced. Each action should map to a particular reading of the trend, not a generic best practice.",
              "instructions": "Strategies based on prediction",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "implementation",
              "name": "Implementation",
              "description": "Walk through how the actions get executed: owners, milestones, monitoring. The audience should leave understanding what to do tomorrow, not just what to think about.",
              "instructions": "Discuss strategy execution",
              "type": "text",
              "layout": "text"
            },
            {
              "id": "conclusion",
              "name": "Conclusion",
              "description": "Recap the trend, the forecast, and the recommended action. End with the leading indicator you'll watch to know if the call is right.",
              "layout": "closing",
              "instructions": "Summarize key points",
              "type": "text"
            }
          ]
        }
      },
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        "marketing": {
          "name": "Marketing",
          "summary": "Marketing professionals analyzing campaign performance, brand metrics, and growth strategies.",
          "description": "Marketing professionals reviewing campaign performance, brand metrics, and growth strategy. Make the funnel visible, highlight engagement metrics, keep the brand consistent, and tell the story visually. Moderate chart density; 15-30 slides.",
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      },
      "purposes": {
        "align": {
          "name": "Align",
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            "p95 inference latency is 38ms on a single A100, down from 312ms on the prior runtime.",
            "We replaced the streaming serializer with a batched protobuf path; throughput rose 4.2× under load.",
            "The result holds for context windows up to 32k tokens; beyond that, see appendix B."
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