You might have noticed that your total amount of, let's say, Promoters' responses are slightly bigger than the total number of Promoters your Dashboard shows you. No worries, there's nothing wrong with your data or our product. In the short article below I will explain to you how NPS data on the dashboard is calculated and where does it come from.
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The first data block on the Dashboard shows, by default, your all-time NPS score, how it was calculated, the total amount of Promoters, Passives, and Detractors within your customers.

An important thing to remember is that the Promoters/Passives/Detractors counter only considers the last response from a customer. 

For example: If a customer gave you a score of 6 or lower,  then he will appear next to the Detractors label. If he gives you a new score of 9 or 10 to the next survey, he will be "transferred" to the Promoters label, meaning they will be automatically removed from the Detractors segment.

This method of counting data is more logical and accurate. It's logical because NPS methodology focuses more on individual customers (hence the "Promoter/Passive/Detractor" terminology). NPS also tracks your customers' satisfaction over time; therefore, it's crucial to migrate customers based on their latest score (current feeling towards your company) in order to get accurate data. And since we're talking about NPS data evolution, let's move on to the Trends Graph.
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Consider it as historic NPS data tracked for your customers. The Trends Graph displays how your Net Promoter Score changed over a certain period of time. 

You can also get insights into how your customers' satisfaction changed during this time frame. After the second survey, you will start noticing how customers migrate from a segment to another (or it stays steady).
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In the General stats block, you can also filter all your Dashboard data by date range, campaigns, and attributes (customer tags, feedback tags, and properties). 

Choose any filter option you want to recalculate all your NPS data for.