Understand your survey results
Pulseform runs the statistics for you. This page explains, in plain words, the results you'll see most often, and what to do with them.
Which analysis you get
The analysis depends on the purpose you chose when creating the survey:
| Purpose | Main analysis |
|---|---|
| Academic & Postgraduate Research | Reliability (Cronbach's alpha), descriptive tables, comparisons between groups, factor analysis, regression |
| Institutional & HR / Employees | eNPS, importance-performance matrix, results by department with privacy protection |
| General Survey | Counts, charts and comparisons between groups |
Reliability: do my questions agree?
When several questions measure the same idea (for example, job satisfaction), Cronbach's alpha checks whether they agree with each other:
| Alpha | Reading |
|---|---|
| 0.90 or more | Excellent |
| 0.80 – 0.89 | Good |
| 0.70 – 0.79 | Acceptable |
| 0.60 – 0.69 | Questionable |
| under 0.60 | Poor |
A low value often means one question doesn't fit with the others, or one question is worded the opposite way. The analysis shows which question to look at.
eNPS: would staff recommend you?
eNPS asks staff how likely they are to recommend the organization as a place to work. The result runs from -100 to +100: the share of people who would recommend it, minus the share who wouldn't.
Privacy: small groups are hidden
To protect respondents, any group with fewer than 5 answers (for example, a small department) is hidden from the results. This stops anyone guessing who said what. You can change the minimum in the survey settings.
Comparing groups
Use the Cross-Tabulation Matrix to see how answers to one question differ by another, for example satisfaction by region.
Need more detail?
The assistant can explain any result on the screen you're looking at. Click the assistant icon and ask, for example, "what does my alpha of 0.65 mean?". See Use the assistant.