NPS (2) – Basics and history of the Net Promoter Score and System
This series supposes the reader is already familiar with the basics of the Net Promoter System, and ideally has read The Ultimate Question 2.0 by Fred Reichheld and Rob Markey. There is quite a lot of mis-information about what they wrote. Some comes from people who have not read the book. Some comes from people who have read it, but had difficulty understanding some points. I have had the opportunity to clarify a few tricky points directly with the source. Let’s start with the metric, rather than the overall system. The image above shows the rating question and how the scoring works. That’s the easy part.
After the rating question, the current standard is to use two open questions:
- What could we do better?
Additional questions may be used for touchpoint surveys, also called ‘episode’, ‘experience’ or ‘interaction surveys’. Bain recommends simply adding a second rating question, asking “To what extent has your latest interaction changed your willingness to recommend?”
￼Which direction for the scale?
Fred and Rob have used the scale in both directions, from zero to 10 and the opposite. There are views, supported by psychology experiments, that the order biases the results in one direction or the other. It does not matter which you use, as long as you are consistent. Personally, I have always used it as shown here, though I agreed to requests to reverse the scale from my HP colleagues in countries that write from right to left to reverse the scale.
What about using a different scale?
Some companies use a 1 to 5 scale, with 5 as the best score and the only Promoter score. 4 is for Passives and 1 to 3 for Detractors. This has two disadvantages. First, all too many people believe they should strive to be number 1, and therefore think that 1 is the top score, no matter how it is labeled. This is quite easy to spot if you also have an open text question and the answer seems opposite to the rating, though the respondent could be trying to be sarcastic. Second, there are cultures that just don’t want to give you the top score. On a scale from 0 to 10, the happiest people in these cultures may give you a 9, but on a 1 to 5 scale they give you a 4.
Again, all this does not matter much if you are consistent, only comparing yourself with others using the same scale. When HP moved from the short to the long scale for competitive benchmark surveys, Satmetrix advised that it would have a small positive effect on NPS scores for HP and for all competitors. That is indeed what happened.
Your ultimate question may not be the recommendation question
This may seem subtle: when Fred wrote the original Harvard Business Review paper, he found that the recommendation question trend was the best revenue predictor for most but not all industries. This matters. Your personal ‘Ultimate question’ should be whatever single question best predicts your revenue and market share trends relative to your competition. You should start by using the recommendation question in the absence of any contrary data. Even in industries where it was not the best question, it was close to the top.
I realize this statement is somewhat controversial. Fred and Rob have stated it publicly in Episode 82 of the Net Promoter System Podcast series. Some of their early work, notably with Enterprise Rent-A-Car, did not use the recommendation question. There are limits to what you should use, to avoid confusion. First, you will cause confusion if you let each business and function in your company select their own question and all refer to it as NPS. You can only have a single question formulation in your company if you want to be able to communicate effectively. Second, don’t allow composite metrics made up from multiple questions to be represented as NPS. That is opposite to the whole principle of a single simple question.
Categories and behaviors
From the start, the Bain teams were able to observe and quantify behavior by response category. I suppose the most important observation is that a 5 is absolutely not a middle-of-the-road average score. People who give you a 5 (on the 0 to 10 scale) do not like you and may well speak negatively about you to others. The same applies to those who give you a 3 on a 1-to-5 scale. This is an important observation when thinking about how people use Customer Satisfaction (CSAT) scores on a five-point scale. CSAT practitioners consider people who give a 3 to be satisfied, and they are not. Their actions say otherwise.
Early research with Satmetrix
Bain asked Satmetrix to provide additional proof that NPS trends relative to competitors correspond to relative revenue growth, expressed as a percentage. This applied once again to most but not all industries studied. The main exceptions were industries that tend to have local monopolies, such as cable television companies. Fred found the relationship between NPS trends and relative growth to be particularly striking in the airline industry. In the HBR article referred to above, he says “… no airline has found a way to increase growth without improving its ratio of promoters to detractors.”
Don’t forget common sense
Accept for a moment that the recommendation question is the best one-question growth and share predictor for your company. Imagine you have seen multiple quarters of positive NPS trends relative to your competition. Growth ahead! What could possibly go wrong? Many things. Let’s suppose you run a software business that is entirely dependent on sales people that go to visit customers and that you have no intention of changing that. Each sales person has an average quota for the industry of about $2 million per year. You decide that you can’t afford to hire any additional sales people. Happier customers may make it easier for the existing sales people to make their quotas and will renew more of their existing annual contracts, but you will be throwing away the full growth opportunity if you don’t hire more sales people.
To use a non-NPS example, warmer weather predicts improved ice cream sales. If you don’t have additional ice cream in stock, you won’t sell any more. A Net Promoter System that functions well and produces better scores is simply a business enabler. You still have to convert the opportunity it creates.
Analyzing text responses
Humans are unfortunately subject to all sorts of cognitive biases. These are problematic when it comes to the search for insights in customer responses to the open Why and Improve questions. Consciously or unconsciously, we all tend to see things we already believe or agree with more quickly than we recognize things we don’t particularly want to see. Unless you have only a small number of verbatim responses, software will be an invaluable aid to your search for new insights. There were no good solutions available when Fred and Rob wrote their book. That has changed, and I will cover how to evaluate survey analysis software. As it exists today, software can do an excellent job of initial screening and categorization, and humans should still control the final decisions.
Fred Reichheld published The Ultimate Question in March 2006. Rob Markey co-wrote the ‘revised and expanded’ v2.0 of the book and published it in September 2011. As of May 2019, they do not yet plan to write v3.0. Nevertheless, their methodology has been improving since 2011. The updates are reasonably clear in certain Bain Net Promoter System Podcasts, specifically the ones where Rob Markey speaks on his own, or together with Fred. Rob and I also recorded the first of many podcasts together in July 2017 and clarified many of the improvements to the system.
To me, the single most important change is the addition of a third question to the prior standard set of two, “What would you like us to improve?” The reason it matters is that the old standard meant that Detractors gave clear suggestions for improvement, but Promoters did not get that opportunity. Promoters generally love you and want to help. They give longer and more helpful improvement suggestions than Detractors.
Decide whether each of these statements is true or false. Answers are at the bottom of this article.
- The answers to “How likely are you to recommend [Company] to a friend?” were found to be the best predictors of future revenue trends among all the questions tested by Fred Reichheld in his 2003 Harvard Business Review article The One Number You Need to Grow.
- The answers to the “How likely are you to recommend [Company] to a friend?” were found to be the best growth predictors for all industries tested, in the same HBR article.
- The Net Promoter Score scale must start at zero and go to ten. All other scales are invalid.
- Reichheld’s research showed that customer behaviors really do change depending on their classification as Promoters, Passives or Detractors.
- The definitive reference source for the Net Promoter System is The Ultimate Question 2.0, and no other information on the design and implementation is available from Reichheld and Markey.
The next article in this series will cover the Bain Net Promoter System Framework.
As is often the case, the above is a slightly-edited version of a chapter in one of our books; in this case Net Promoter – Implement the System All of our books are available in paperback and Kindle formats from Amazon stores worldwide, and from your better book retailers.
 The “One Number You Need to Grow” HRB article can be found here:
 All podcasts are at http://www.netpromotersystem.com/resources/podcast.aspx
Learning check answers
- False. Other questions finished at the top of the list for a few industries. The recommendation question finished just behind in those cases.
- False. The scale can also go from ten to zero, or indeed one to five. It is important to be consistent, using a single scale for your company and keeping it the same from survey to survey.
- False. While The Ultimate Question 2.0 is a reference source, it has been updated extensively. The Bain updates to the system are covered in the Net Promoter System Podcasts. Satmetrix has independently developed what it calls NPS2.