NPS Score on a stacked bar issue when equal Promoters, Detractors and Passives

• I'm trying to create an NPS card for a product and I'm running into an issue here.

First of all the structure of the card contains an NPS score, number of responders, and a stacked bar to show the distribution of responses. The card will look roughly as shown below:

The problem

When I have equal numbers of Promoters, Detractors and Passives - I can't show them correctly on a stacked bar as they are because they are 33.3%, 33.3% and 33.3% respectively (equalling to 99.9%). This is because as per my knowledge, stacked bars should always sum to 100%. Hence, the work around is to basically round up the last value shown on the stacked bar so that the total sum is 100%.

First Question: Is this the correct way to go about handling 3 equal parts in a stacked bar?

Now moving on from this, the way NPS is calculated is Promoters % - Detractors %. Ideally this is done before any rounding takes place so here the actual NPS is 0 (33.3% - 33.3%). However, the stacked bar gives a different story (there are 34% Promoters and 33% Detractors).

Second Question: How do I solve this discrepancy between what the stacked bar shows and what the NPS score is?

Any guidance or feedback provided would be very helpful.

• What you have done by showing the actual number of responses and the percentage score is the best way to resolve this common problem. In fact, depending on whether you are showing the result to people who are familiar with the calculation or not, you can even show details about how the scores are calculated. That way when people see the discrepancy with the data they will know where it comes from. I personally wouldn't round up just one score if they are all meant to have the same value because that's less accurate than the three sections not summing up to 100%

So the answer to the first and second question is that you should present the data as it is, meaning that the stacked bar chart should be a representation of the data. If the calculation works out that all three sections are equal, then that's what the values should reflect. Maybe providing labels to the number of people in each category and percentage will be the best rather than just showing one or the other if you think this will be a problem for the viewers of this information.

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