deepsight cloud · NPS analysis Connect recommendation scores with the reasons behind them.
Compare which topics promoters, passives and detractors mention, and check the comments behind them.
From response to score
Illustrative values. Individual ratings from 0 to 10 assign people to a group; the NPS is one score for all analyzed responses (−100 to +100), rounded to a whole number.
What each group writes
Select a group to see a comment.
Illustrative values. Base: analyzed responses per group.
“It often takes 20 minutes before anyone answers the phone. The price increase came without any explanation.”
Select a category to see the matching passage.
Questions about NPS analysis
When you import data, deepsight suggests a suitable NPS column. You review and confirm the assignment.
The analyzed responses. Anything the data quality check filters out does not count towards the base. If the check is switched on, the NPS may therefore differ from the NPS of all respondents. Topic shares also refer to the analyzed responses; a response can be assigned to several topics.
It shows which topics promoters, passives and detractors mention and takes you to the comments behind them. This helps you interpret differences – it is not proof of causes.
Yes. With group comparison, you compare the NPS and topics of groups, such as by region or customer type. The attributes for this come from your data.
NPS analysis is designed for the likelihood-to-recommend question with scores from 0 to 10. You analyze other rating scales such as CSAT or CES as closed-ended questions: deepsight shows the mean as well as top-2 and bottom-2 shares, and you decide which end of the scale counts as good.
How to analyze NPS and satisfaction scores together with the comments behind them is shown under NPS & CSAT.
More features · Analyze responses
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We will walk you through the analysis using an example from your field.