Include analysis and visualization of the survey sample (who participated in the survey) and/or demographic data (geographic location, region, type of organizations, etc.). This will give the audience more context about the survey topic and its goal.
Highlight trends like top 5 Most Frequent or Least Frequent (i.e., top skills gained; knowledge of human rights laws).
Cross-tabulate variables as needed (i.e., how many participants vs. geographic location, how many grantees contributed vs. SDG outcomes) to provide a more robust analysis.
Compare and contrast differences if applicable (i.e., there were more women who said this compared to men, etc.)
Provide a better picture of the data by entering the frequency and its corresponding % (and should be displayed in a chart or table)
Highlight upward or downward trends, especially those with significant change.
Provide explanations of why trend emerged as much as possible. Often qualitative data can be helpful to this end.
e.g., Why there was a decline in satisfaction with a program? Why was the program rated so positively?
Explore your data further by creating custom CSVs and uploading them to ImpactMapper as different types of charts. See more on this how-to article: How can I customize my Chart using CSV?
Take note of quotable quotes, especially from open-ended questions and emphasize this in your data presentation.
If applicable, connect your survey findings to your theory of change, strategy, or strategic plan.
Tips for Analyzing Surveys
Techniques on how you can organize, present, visualize, and discuss your survey results
Written by Glaiza Veluz
Updated over 5 months ago