Story Framework

Survey Analysis

Structured walk-through of survey results: topic, executive summary, methodology, findings, analysis, implications, recommendations. Built so a reader who only sees the second slide already knows the headline insight.

Beat Diagram

1Introductiontext-1x / text
2Executive Summarytext-1x / text
3Contexttext-1x / text
4Data & Methodologytext-1x / text
5Data Summarytext-1x / text
6Findingstext-1x / text
7Data Analysistext-1x / text
8Implicationstext-1x / text
9Recommendationstext-1x / text
10Conclusiontitle / text

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OPF Config

narratives:survey-analysis

Open Presentation Format

{
  "$schema": "https://openpresentation.org/schema/opf/v1",
  "name": "PPTX.gallery — narratives/survey-analysis",
  "narrative": "survey-analysis",
  "tags": [
    "gallery:narratives/survey-analysis"
  ],
  "slides": [
    {
      "id": "gallery-preview-1",
      "layout": "title-slide",
      "title": "Narrative preview",
      "subtitle": "Storyline scaffolded by the \"survey-analysis\" narrative.",
      "design": {
        "contentBox": false,
        "contentAlignment": "center",
        "titleAlignment": "center"
      }
    }
  ]
}

Open in OPF Playground Open in visual editor

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

View registry.json

Pace

20-60 minutes

10 beats

Audience Fit

executivesresearchersstakeholdersmarketing-teams

Beat-by-Beat Guide

Introduction

Open by naming the question the survey was meant to answer. Why this, why now, who commissioned it. Anchor the audience in the decision the survey is designed to inform.

Instruction: Present survey topic

Executive Summary

State the top three findings in plain language on a single slide. A reader who only sees this slide should still be able to make the right call. Avoid hedging — synthesis is the point.

Instruction: Summarize key findings

Context

Detail the situation behind the survey: prior knowledge, related research, the gap this work fills. Just enough to position the findings as new information rather than restated common sense.

Instruction: Detail survey background

Data & Methodology

Describe how the data was collected and from whom. Sample size, recruitment, instrument, timing. Be honest about limitations; methodological transparency is what gives the findings their weight.

Instruction: Discuss sourcing and collection

Data Summary

Give the audience an overview of the dataset before drilling in. Demographics, response rates, distribution of key variables. Help them calibrate what 'most' and 'few' mean in this study.

Instruction: Provide data overview

Findings

Present the key insights one at a time. Lead each finding with the claim, then the chart. Avoid burying the point under the visualization — captions should restate the insight in words.

Instruction: Highlight key insights

Data Analysis

Break down the data behind each finding: cross-tabs, segment splits, statistical confidence. This is the slide skeptics will scrutinize — make it scrutinizable.

Instruction: Break down data

Implications

Translate findings into 'so what.' What changes for product, marketing, ops, the customer? Implications without consequences are interesting trivia, not research.

Instruction: Discuss survey implications

Recommendations

Provide the actions that follow from the implications. Prioritize, attach owners, mark which require decisions. This is where research becomes useful.

Instruction: Provide action plans

Conclusion

Recap the headline finding and the most important recommendation. End with the next step — a follow-on study, a workshop, a decision — so the work doesn't sit on a shelf.

Instruction: Recap and finalize