Different types of impact scores

Depending on your data score type Thematic can calculate different kinds of theme impact.

Net Promoter score

Thematic calculates the total NPS of all responses, and then the impact of each themes responses on that NPS.

Positive impact example

eg. In an example data set of 100 responses, the NPS is 50. 10 responses are tagged with the theme "good price", and the theme "good price" has an impact score of +5. Without the 10 responses that were tagged with "good price" the NPS would be 5 points lower, at 45.

Negative impact example

eg. In an example data set of 100 responses, the NPS is -50. 10 responses are tagged with the theme "bad price", and the theme "bad price" has an impact score of -5. Without the 10 responses that were tagged with "bad price" the NPS would be 5 points higher, at -45.

Average score (CSAT, 1-5 star rating)

Thematic calculates the average score of all responses, and then the impact of each themes responses on that average score.

Positive impact example

eg. In an example data set of 100 responses, the average CSAT score is 7 out of 10. 10 responses are tagged with the theme "good price", and the theme "good price" has an impact score of +2. Without the 10 responses that were tagged with "good price" the average CSAT score would be 2 points lower, at 5 out of 10.

Negative impact example

eg. In an example data set of 100 responses, the average  CSAT  score is 3 out of 10. 10 responses are tagged with the theme "bad price", and the theme "bad price" has an impact score of -2. Without the 10 responses that were tagged with "bad price" the average  CSAT  score would be 2 points higher, at 5 out of 10.

Threshold score

Thematic calculates the percentage of responses that fall with a certain range, and then the impact of each themes responses on that percentage.

Positive impact example

eg. In an example data set of 100 responses, 50% of responses leave a score of 7 or greater out of 10. 10 responses are tagged with the theme "good price", and the theme "good price" has an impact score of +10%. Without the 10 responses that were tagged with "good price" the percentage of responses that leave a score of 7 or greater would be 10% lower, at 40%.

Negative impact example

eg. In an example data set of 100 responses, 30% of responses leave a score of 7 or greater out of 10. 10 responses are tagged with the theme "bad price", and the theme "bad price" has an impact score of -10%. Without the 10 responses that were tagged with "bad price" the percentage of responses that leave a score of 7 or greater would be 10% higher, at 40%.

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