Survey Analysis
Reports non-response bias alongside every finding, since who did not answer shapes the result.
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Running it, start to finish
- Profile respondents against the population you sent to.
- State sample size for every segment you report.
- Code the free text systematically before reading for quotes.
What you get back
The output this produces, every time.
- Compares respondents against the population sent to, which bounds what the findings apply to.
- Flags segment cuts with samples too small to support a conclusion.
- Codes free text systematically rather than reading for what stands out.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Report non-response with every finding. Respondents skew engaged and annoyed, which distorts in both directions and is rarely stated.
- Report distributions, not just averages. Averaging a rating scale assumes equal spacing between points, which is not established and hides bimodal results.
- Check the instrument did not change. Comparing waves after a question was reworded or the audience shifted is invalid, and it is done routinely.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.