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Why it Matters

High happiness scores indicate happy, loyal users who are more likely to advocate for your product and renew subscriptions. Analyzing NPS score response reasons can give you a clearer picture about the sentiment of your users and help you identify areas for improvement.

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Definition

Happiness score is calculated by normalizing the 90-day rolling NPS score into a 0-100 scale. Happiness Score=Rolling NPS Score + 100200\text{Happiness Score} = \dfrac{\text{Rolling NPS Score + 100}}{\text{200}}

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Analytics

  • Rolling Happiness Score: normalized 90-day rolling NPS score.
  • Total Responses: how many times your users have answered selected NPS surveys.
  • Unique Users: how many users answered selected NPS surveys.
  • Happy Users: how many of your users are promoters in the selected period.
  • Net Promoter Score (NPS) Chart: shows NPS score percentages and the final calculated rolling 90-day NPS score over time. This chart helps you identify trends and patterns in user satisfaction and loyalty.
  • Score Distribution Chart: shows distribution of NPS survey answers for the selected period.
  • Recent Responses Table: displays individual survey responses along with the reasons users provided for their score, helping you understand user sentiment and identify areas for improvement.

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Filters

  • NPS Survey: select either all or specific NPS surveys to analyze.
  • User Segment: select either all users or a specific user segment.
  • Date Range: period during which to analyze user happiness.