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          "description": "Logical chain where each premise follows from previous (Premise 1 + 2 → Conclusion)",
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              "evidence": "Title states insight: '~480m users by 2020; Indonesia fastest growing'.",
              "confidence": 88
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "Indonesia callout box highlights the standout country.",
              "confidence": 75
            },
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Country growth annotations on chart.",
              "confidence": 70
            }
          ],
          "page_number": 8
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states insight: '$200B by 2025 (6.5x increase)'.",
              "confidence": 88
            },
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              "id": 158,
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              "layer": "Slide",
              "evidence": "$200B headline figure dominates the slide.",
              "confidence": 78
            },
            {
              "id": 73,
              "slug": "deductive-reasoning",
              "layer": "Loop",
              "evidence": "Sets the total that subsequent segments must sum to.",
              "confidence": 60
            }
          ],
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        },
        {
          "tools": [
            {
              "id": 118,
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              "layer": "Slide",
              "evidence": "Title states 2-segment split with different monetization models.",
              "confidence": 85
            },
            {
              "id": 2,
              "slug": "mece-principle",
              "layer": "Block",
              "evidence": "First-hand vs Second-hand goods is exhaustive, mutually exclusive split.",
              "confidence": 82
            },
            {
              "id": 131,
              "slug": "gestalt-principles",
              "layer": "Slide",
              "evidence": "Tree diagram uses proximity and connection to show parent-child segmentation.",
              "confidence": 75
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Loop",
              "evidence": "Two columns directly contrast model, monetization, size, players.",
              "confidence": 70
            }
          ],
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        },
        {
          "tools": [
            {
              "id": 118,
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              "layer": "Slide",
              "evidence": "Title: '5 key systemic changes leading to exponential growth'.",
              "confidence": 85
            },
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Loop",
              "evidence": "5 labeled rows with image + title + rationale per driver.",
              "confidence": 78
            },
            {
              "id": 161,
              "slug": "law-of-similarity",
              "layer": "Slide",
              "evidence": "Identical row template signals all 5 drivers are peers.",
              "confidence": 72
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          ],
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        {
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              "evidence": "Title: 'eCommerce expected to 16x by 2025, reaching $88B (~32% CAGR)'.",
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            },
            {
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              "layer": "Slide",
              "evidence": "16x callout connecting 5.5 to 88 bars; %CAGR labels.",
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            },
            {
              "id": 130,
              "slug": "color-strategy",
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              "evidence": "Light/dark teal pair distinguishes 2015 vs 2025 bar.",
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            },
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              "evidence": "Methodology panel cites Singstat, Euromonitor, 59 expert interviews.",
              "confidence": 70
            }
          ],
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          "tools": [
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              "evidence": "Variable column x CAGR column x Driver column visually grouped to imply equation.",
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              "evidence": "Title: 'all SEA countries >$5B; Indonesia $46B (52% of SEA)'.",
              "confidence": 88
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              "evidence": "Country bars annotated with 2015 vs 2025 sizes.",
              "confidence": 78
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              "evidence": "Indonesia callout breaks pattern to spotlight 52% share.",
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          "tools": [
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              "evidence": "Title: 'Travel market 4x by 2025, ~$90B (~15% CAGR)'.",
              "confidence": 88
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              "id": 138,
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              "evidence": "Bar chart with multiplier and CAGR labels.",
              "confidence": 75
            }
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          "page_number": 16
        },
        {
          "tools": [
            {
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              "evidence": "Title: 'Hotels and airlines 5x by 2025, ~$76B (15% CAGR), 85% of travel'.",
              "confidence": 88
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              "id": 155,
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              "evidence": "Callout benchmarks against Expedia $60B and Priceline $55B.",
              "confidence": 72
            }
          ],
          "page_number": 17
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        {
          "tools": [
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              "evidence": "Title: 'Online rides 5x by 2025, ~$13B, 15% of travel'.",
              "confidence": 88
            },
            {
              "id": 138,
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              "layer": "Slide",
              "evidence": "Callout with active rider growth metric.",
              "confidence": 72
            }
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        },
        {
          "tools": [
            {
              "id": 118,
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              "evidence": "Title: 'Online media 5x to ~$20B by 2025 (~18% CAGR)'.",
              "confidence": 88
            }
          ],
          "page_number": 19
        },
        {
          "tools": [
            {
              "id": 118,
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              "layer": "Slide",
              "evidence": "Title: '3.6x increase in revenue per gamer drives mobile from 53% to 75%'.",
              "confidence": 85
            },
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              "id": 138,
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              "evidence": "Bar chart shares annotated with mobile vs PC split.",
              "confidence": 70
            }
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        },
        {
          "tools": [
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              "id": 118,
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              "evidence": "Title: 'Online ads 5x to ~$10B by 2025 (17% CAGR)'.",
              "confidence": 88
            }
          ],
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        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title: 'Capturing $200B will require ~$40-50B of investment over next 10 years'.",
              "confidence": 88
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "$40-50B headline number stands out against narrative.",
              "confidence": 72
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            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Loop",
              "evidence": "Sets up required-vs-current contrast that runs through p24-27.",
              "confidence": 70
            }
          ],
          "page_number": 23
        },
        {
          "tools": [
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              "evidence": "Landscape divided into multiple stat panels.",
              "confidence": 60
            }
          ],
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        },
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          "tools": [
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              "id": 118,
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              "evidence": "Title: 'Deal flow concentrated in SG and ID; majority to few prominent startups'.",
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            },
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              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout: 'eCommerce + Logistics 61.4% of investments due to Grab, Lazada'.",
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              "evidence": "Callouts: 'All unicorns currently in SG'; 'Only ~106 startups (~1.5%) >$10mn'.",
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            },
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              "evidence": "Title: '6 big challenges must be overcome to make SEA $200bn (1/2)'.",
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              "evidence": "Numbered 1-6 challenges presented as exhaustive, distinct categories.",
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              "evidence": "Title continues challenge enumeration to 6/6.",
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              "evidence": "Callout '58% of SEA citizens concerned about financial info shared online'.",
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              "evidence": "Specific 150m unbanked figure with country breakdown.",
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              "confidence": 75
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              "evidence": "Below-average countries clearly visible against benchmark line.",
              "confidence": 65
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          ],
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              "evidence": "Callout: 'Indonesia orders are 12x more likely to be fraudulent'.",
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      ],
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      "deck_summary": "Textbook MBB market-opportunity deck: pyramid-principle exec summary up front, segmented sizing build-up (eCommerce/Travel/Media/Ads) then investment requirement then a MECE list of 6 challenges. Aligns strongly with Storymakers' Consultant's Gambit, with Triple Take secondary; dense action titles and consistent driver-decomposition charts.",
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            },
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              "evidence": "Capturing opportunity needs $40-50B; current VC landscape falls short.",
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            },
            {
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              "evidence": "6 challenges that must be addressed to unlock the $200B.",
              "position": 3,
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            }
          ],
          "evidence": "Deck cleanly splits into Facts (market sizing p10-21) -> Implications (investment needed p23-27) -> Action (challenges p29-33).",
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    "deckSummary": "Textbook MBB market-opportunity deck: pyramid-principle exec summary up front, segmented sizing build-up (eCommerce/Travel/Media/Ads) then investment requirement then a MECE list of 6 challenges. Aligns strongly with Storymakers' Consultant's Gambit, with Triple Take secondary; dense action titles and consistent driver-decomposition charts.",
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    "scoredAt": "2026-05-02 23:12:52.737+00",
    "subScores": {
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      "action_titles": 82,
      "mece_structure": 74,
      "closing_strength": 28,
      "evidence_quality": 86,
      "clarity_of_thesis": 78,
      "production_quality": 70,
      "visual_storytelling": 79
    },
    "totalScore": 71,
    "coveragePct": 100,
    "explanations": {
      "scqa_arc": "The deck has a partial SCQA arc from SEA growth context in slides 7-8 to investment/challenge complications in slides 23 and 29-33, but the core question and answer are implied rather than explicitly staged.",
      "action_titles": "Most body slides use insight-bearing titles, although agenda and executive-summary slides remain labels; example: slide 10, \"The internet economy in SEA is expected to reach ~ $200 billion by 2025 (6.5x increase over 10 years)\".",
      "mece_structure": "The agenda sections are broadly MECE across overview, opportunity sizing, VC landscape, and challenges, but the opportunity section mixes sector sizing, drivers, and methodology while investment needs bridge two sections.",
      "closing_strength": "The ending is weak because slides 29-33 diagnose six challenges and fraud risk, then slide 34 returns to a cover without a recommendation, owner model, or next-step call to action.",
      "evidence_quality": "Claims are strongly supported by methodology slides 2-3, market-sizing charts, country tables, benchmarks, and callouts throughout slides 10-33.",
      "clarity_of_thesis": "The central thesis is identifiable by slides 1, 4, and 5 as a ~$200B SEA internet opportunity requiring investment and barrier removal, but it is summarized across bullets rather than stated as one declarative governing argument.",
      "production_quality": "Production is consulting-grade with repeated frameworks, footnotes, and high action-title density, but overcrowding, long titles, repeated agenda dividers, and occasional truncated callouts reduce polish.",
      "visual_storytelling": "Slides generally match message to format with big numbers, bar charts, maps, tables, and decomposition trees, though several slides such as 15, 17, 21, and 25 are crowded multi-chart hybrids."
    },
    "slidesAnalyzed": 34
  },
  "review": {
    "backend": null,
    "verdict": "A strong answer-first sizing report with disciplined declarative titles and clean MECE pillars, but it stops at diagnosis — use p4-5 and the segment-sizing run as Storymakers exemplars, not the closing.",
    "reviewedAt": "2026-04-24 16:51:57+00",
    "slidesSeen": 34,
    "suggestions": [
      "Add a closing recommendations slide after p33 that maps each of the six challenges to a specific actor (regulator, investor, operator) and an action — turning the barrier list into a call to action",
      "Rename the four 'Agenda' dividers to thematic action titles (e.g. 'Pillar 2: Capturing the prize requires $40-50bn of new VC') so the spine is visible from the table of contents alone",
      "Insert a one-page synthesis after p21 that stacks the four segment sizings into the $200bn total, so the sizing run has a payoff slide instead of just stopping at 'online ads'"
    ],
    "closingScore": 32,
    "openingScore": 82,
    "topStrengths": [
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      "Action titles on the segment-sizing run (p13-p21) consistently carry the headline number, growth rate and driver in the title itself",
      "Clean MECE decomposition of the $200bn pie into eCommerce / Travel / Media / Ads, then each split by country",
      "Explicit money-out figure ($40-50bn investment) is repeated in the exec summary (p5) and again at the start of the investment section (p23) — good narrative anchoring"
    ],
    "topWeaknesses": [
      "No recommendation/next-steps slide — deck ends on a fraud statistic (p33) then a duplicate cover (p34)",
      "Twelve consecutive market-sizing slides (p10-p21) read as a sizing dump with no synthesising 'so what' before the next pillar",
      "Section dividers (p6, p9, p22, p28) are titled 'Agenda' rather than naming the pillar (Opportunity / Investment / Barriers), forcing readers to infer the spine",
      "The 'six challenges' section (p29-p33) is framed as problems without owners — no view on which actor (governments, VCs, platforms) should solve which"
    ],
    "narrativeScore": 62,
    "pillarCritique": "Three agenda dividers (p9, p22, p28) imply a clean MECE spine — Size of the prize → Investment required → Barriers to capture — which is reasonable, but the dividers themselves are labelled 'Agenda' four times rather than naming the pillar, so the structure has to be inferred from the content rather than signposted.",
    "closingCritique": "There is no call to action — the deck ends on p33 with a downer factoid ('Indonesia orders are 12x more likely to be fraudulent') and then a duplicate cover on p34, wasting the close on negative friction with no 'so therefore' or recommendation. A Storymakers-grade close would synthesise the six barriers into a who-does-what next.",
    "openingCritique": "The thesis is front-loaded effectively: p4-5 carry an explicit executive summary stating the $200bn opportunity and the $40-50bn investment needed, and p7-8 immediately stake the 'SEA is ready to take off / 124k new users a day' hook. The only opening drag is the two boilerplate context slides (p2 'four data sources' and p3 'Research scope') before the answer.",
    "extractionSeconds": 91.8596,
    "narrativeCritique": "The deck follows a clean Setup → Analysis arc (SEA is ready to take off → here's the $200bn sizing by segment → here's the VC gap → here are the barriers) but the Resolution act is missing — it stops at the 'six big challenges' on p29-33 without ever telling the reader what to do about them. As Storymakers narrative this is a strong analytical build with no payoff slide.",
    "titleQualityScore": 72,
    "titleQualityCritique": "Most body titles are genuinely declarative and metric-bearing — e.g. p13 'SEA eCommerce expected to 16x by 2025, reaching $88 billion (~32% CAGR)' and p14 '27% CAGR in # of online transactions will be driven by growth in internet penetration, consumer sentiment and product availability' read as insights, not topics. Weak spots are the four 'Agenda' slides, 'Executive summary (1/2)/(2/2)', 'Research scope', and p24 'Overview of SEA Startup and VC landscape', which are pure noun-labels."
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