How to Analyze Survey Data
A step-by-step guide to analyzing survey responses. Learn about Likert scales, cross-tabulation, statistical significance, and how to present survey findings.
Step-by-step guide
Export your survey data
Export responses as CSV from Google Forms, SurveyMonkey, Qualtrics, Typeform, or any survey platform.
Upload to OakPrism
Drag and drop your CSV file. OakPrism auto-detects column types, Likert scales, and demographics.
Review the analysis
OakPrism runs group comparisons, correlation analysis, and demographic breakdowns with proper statistical tests.
Share your report
Download as PDF, share the interactive dashboard via link, or export to PPTX for presentations.
Why Survey Analysis Matters
Survey data is only valuable when properly analyzed. Raw response counts miss the patterns that drive decisions — demographic differences, statistically significant trends, and Simpson's paradox (where subgroup trends contradict the overall pattern).
Common Survey Analysis Mistakes
Treating Likert scales as continuous data, ignoring response bias, not testing for statistical significance, and failing to segment by demographics are the most common mistakes that lead to misleading conclusions.
How OakPrism Automates Survey Analysis
Upload your survey CSV and OakPrism auto-detects Likert scales, demographics, and free-text columns. It runs appropriate statistical tests (non-parametric for ordinal data), identifies significant group differences, and generates a board-ready report.