PPTX.gallery
Open in PPTX.dev

Story Framework

Data Story

A data-first narrative that builds from evidence to insight to action, ideal for analysts and data-driven teams.

Beat Diagram

  1. 1Contextagenda / text
  2. 2Key Findingstats-metrics / chart
  3. 3Analysisdata-visualization / chart
  4. 4Implicationscomparison / text
  5. 5Recommendationthank-you-cta / text

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OPF Config

narratives:data-story
Open Presentation Format
{
  "$schema": "https://openpresentation.org/schema/opf/v1",
  "name": "PPTX.gallery — narratives/data-story",
  "narrative": "data-story",
  "tags": [
    "gallery:narratives/data-story"
  ],
  "slides": [
    {
      "id": "gallery-preview-1",
      "layout": "title-slide",
      "title": "Narrative preview",
      "subtitle": "Storyline scaffolded by the \"data-story\" narrative.",
      "design": {
        "contentBox": false,
        "contentAlignment": "center",
        "titleAlignment": "center"
      }
    }
  ],
  "catalogs": {
    "layouts": {
      "records": [
        {
          "$schema": "https://openpresentation.org/schema/opf-layout/v1",
          "id": "title-slide",
          "name": "Title_Slide",
          "label": "Title Slide",
          "summary": "Bold, centered typography with minimal elements. Perfect for opening your presentation with impact.",
          "description": "Bold, centered typography with minimal elements. Perfect for opening your presentation with impact.",
          "tags": [
            "Opening",
            "Impact",
            "Minimal"
          ],
          "master": "Gallery",
          "masterSlideIndex": 0,
          "groupHash": "ddf3a920a68b7a0316802c6a646bb4bb481c6f5a288d236ab3021b4b990d25c2",
          "groupDefault": true,
          "contentType": "Title",
          "contentMultiple": "None",
          "contentAlignment": "Center",
          "contentBox": false,
          "contentTypeChartPrimary": "None",
          "contentTypeImageFill": "None",
          "contentTypeListBullet": "None",
          "contentTypeListHeading": false,
          "slideTitle": true,
          "slideTitleAlignment": "Center",
          "slideImage": false,
          "slideImageAlignment": "None",
          "slideLayoutDirection": "None",
          "zones": [
            {
              "role": "title",
              "placeholder": "title"
            },
            {
              "role": "subtitle",
              "placeholder": "subtitle"
            }
          ],
          "preview": {},
          "details": "Bold, centered typography with minimal elements. Perfect for opening your presentation with impact. OPF placeholders: title, subtitle.",
          "category": "opening-closing",
          "spatialCategory": "hero",
          "contentTypeTags": [
            "mixed",
            "title"
          ],
          "placeholders": [
            {
              "type": "title"
            },
            {
              "type": "subtitle"
            }
          ],
          "slideSubtitle": true
        }
      ]
    }
  }
}
Open in OPF PlaygroundOpen in visual editor

Preview this config live at pptx.dev/playground, or load it in the gallery visual editor.

Pace

6-15 slides

10-30 minutes

6 baseline beat slides

Audience Fit

Data-fluent teamsOperations and financeProduct managersAnalytics stakeholders

Tone

Analytical and inductive - builds up from data to insight.

Best For

Analytical briefings, data team presentations, research readouts, business reviews

Example Deck Types

Analytics deep-dive, Research readout, Business review

Example

Set the analytical context, reveal the headline finding, walk through the supporting analysis, explain what it means for the business, then make a specific recommendation.

Beat-by-Beat Guide

1

Context

Frame why this analysis matters now. What question is this data answering?

Instruction: Set up the business question and data scope.

2

Key Finding

State the single most important thing the data shows. One slide, one insight.

Instruction: State the one finding the audience must remember.

3

Analysis

Unpack the data rigorously. Show sources, methodology, and supporting charts.

Instruction: Explain the drivers behind the finding.

4

Implications

Translate findings into business language. What does this mean for strategy, operations, or customers?

Instruction: Translate the analysis into business consequences.

5

Recommendation

Make an explicit, actionable recommendation backed by the data. Include confidence level and assumptions.

Instruction: Recommend the next decision or action.

Recommended Pairings