For researchers
Understand your research data and the numbers behind it.
Whether you're starting a research project or working with data every day, a clear overview helps. Explore your responses, check data quality, and take a closer look at differences between groups.
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A question you might bring
Do these two cohorts have different wellbeing scores?
Group averages with their bases, the test result, and a reminder that a difference is not evidence of cause.
Illustrative example: a questionnaire with a wellbeing score and a cohort column for two groups.
What you can do with your file
Brief, Ask, Tables and Charts are on Free, Pro and Max, within each plan's allowance. Decide is exclusive to Max. Charts and Decide require your own file. Stats and Python for supported results are on Max.
Brief: A Brief summarizes the main pattern and notes data quality issues it found.
Quality: See which columns have gaps or repeated rows before you report anything.
Stats: Check whether scores differ between groups, with the test used and its result shown.
Python: Open the Python snippet behind a supported result to check how it was produced.
Files people often bring
- Survey and questionnaire exports
- Group comparison data
- Coded interview or observation sheets
- Course or learning feedback
Good to know
- DataWhisperer does not weight samples automatically or replace your methodology; check assumptions before reporting a test.
- Review columns, filters, and the base behind each figure before you share it.
- Differences between groups describe your data; they do not show cause.
- Only upload files you have permission to analyze.