Rob is CEO of Opinyin, a company who has developed a unique AI-powered customer satisfaction survey that reads all the feedback for you and automatically turns it into more accurate scores and enhanced insight. The company's mission is to use its patented technology to democratise AI by making it an affordable option for businesses of all sizes.
Is the obsession with scores a product of past inability to quantify qualitative data (oxymoron I know!) into something people can easily understand and act on?
Good piece and I totally agree on the points made above about NPS and other scores, but the scores on their own just tell you what, not why. Anybody who sees an NPS score on its own without any supporting commentary on what operational initiatives the company has done to achieve such scores, might be best served to ignore the scores altogether and look at other metrics like churn.
"78% of all respondents said it won’t impact their Twitter usage." How many of them don't use Twitter at all in the first place?
James is spot on with the comment about fixing the issues that drive people on to Twitter. I would only ever go to Twitter because a brand is non responsive on other channels and I am looking to turn up the heat up on them. Yet I know brands don't reply on those other channels quickly enough because they don't have the resources and probably don't have insight to what is causing the issue in the first place. Having brands deploy resources to fire fight on Twitter does not really serve my long term objective as a customer of getting better service from a brand I have chosen.
This does feel like it is perpetuating the obsession with scores and not the reasons why. Scores just give you flag so you can see wind direction. They don't tell you why the wind is blowing in that direction and I can't really see that NPS3.0 will be much different. Reading all the verbatim feedback is the only way to do that, which Reichheld et al freely acknowledge.
Brilliant article Lior. Could be a guide to pitching anything to the board and I would suggest is process that is extensible to all the stakeholders in the board room.
A good, if a bit of a detailed read. In summary I think what Ryan is saying is, instead of telling the AI what to look for, let the AI tell you what its finding. This is the approach we use at Opinyin and works well as it's dynamic and changes as quickly as the fluid nature of customer expectations.
Very interesting article. My guiding principle in business has always been to deliver what we said we would and then find ways of adding unexpected value to give the best customer experience. At a high level this article resonates with that. The challenge though, is finding what's of value to customers quickly enough, especially as this tends to be fluid. Real time monitoring and aggregation of the pain and pleasure points from across your customer base gives you intel on where you are not delivering on your brand promise and where the opportunities lie to use your resources as efficiently as possible to add unexpected value. As the article says these are things customers will remember.
If you take a helicopter view of this, a business wants to get somewhere (their vision) and they have a map of what they think is the best route to get there (their mission and objectives). They have determined what they think is the best mode of transport (their business plan) and the mile markers they need to pass to get there (their KPIs). Throughout the journey they have multiple different levers they can to choose to pull or push to change things, which means they pass the mile markers at a different rate; however, if you don't know why things changed its a bit like driving with a blindfold on (I do not recommend this literally or metaphorically speaking).
Any KPI number like NPS, sales, profits, costs are all just mile markers which you can statistically argue about until the cows come in (remember 89% of all statistics are wrong and the other 12% are made up). In my opinion whether NPS is less more or less valid than other measures is academic unless you remove the blindfold whilst driving. I totally acknowledge the summary point of the article is exactly this and the foray into the value of NPS will stoke debate but there is a danger that the real issue of not asking why could get lost. Fred Reichheld has always said your not using the system correctly if you do not ask why. Maybe they should change the open source licence to make the follow up question mandatory?
As children we used to ask why a lot and yet as we get to be adults we seem to get scared of asking that for fear of looking like we don't understand. We all need to embrace our inner child more.
My answers
Is the obsession with scores a product of past inability to quantify qualitative data (oxymoron I know!) into something people can easily understand and act on?
Good piece and I totally agree on the points made above about NPS and other scores, but the scores on their own just tell you what, not why. Anybody who sees an NPS score on its own without any supporting commentary on what operational initiatives the company has done to achieve such scores, might be best served to ignore the scores altogether and look at other metrics like churn.
"78% of all respondents said it won’t impact their Twitter usage." How many of them don't use Twitter at all in the first place?
James is spot on with the comment about fixing the issues that drive people on to Twitter. I would only ever go to Twitter because a brand is non responsive on other channels and I am looking to turn up the heat up on them. Yet I know brands don't reply on those other channels quickly enough because they don't have the resources and probably don't have insight to what is causing the issue in the first place. Having brands deploy resources to fire fight on Twitter does not really serve my long term objective as a customer of getting better service from a brand I have chosen.
This does feel like it is perpetuating the obsession with scores and not the reasons why. Scores just give you flag so you can see wind direction. They don't tell you why the wind is blowing in that direction and I can't really see that NPS3.0 will be much different. Reading all the verbatim feedback is the only way to do that, which Reichheld et al freely acknowledge.
Brilliant article Lior. Could be a guide to pitching anything to the board and I would suggest is process that is extensible to all the stakeholders in the board room.
A good, if a bit of a detailed read. In summary I think what Ryan is saying is, instead of telling the AI what to look for, let the AI tell you what its finding. This is the approach we use at Opinyin and works well as it's dynamic and changes as quickly as the fluid nature of customer expectations.
Very interesting article. My guiding principle in business has always been to deliver what we said we would and then find ways of adding unexpected value to give the best customer experience. At a high level this article resonates with that. The challenge though, is finding what's of value to customers quickly enough, especially as this tends to be fluid. Real time monitoring and aggregation of the pain and pleasure points from across your customer base gives you intel on where you are not delivering on your brand promise and where the opportunities lie to use your resources as efficiently as possible to add unexpected value. As the article says these are things customers will remember.
If you take a helicopter view of this, a business wants to get somewhere (their vision) and they have a map of what they think is the best route to get there (their mission and objectives). They have determined what they think is the best mode of transport (their business plan) and the mile markers they need to pass to get there (their KPIs). Throughout the journey they have multiple different levers they can to choose to pull or push to change things, which means they pass the mile markers at a different rate; however, if you don't know why things changed its a bit like driving with a blindfold on (I do not recommend this literally or metaphorically speaking).
Any KPI number like NPS, sales, profits, costs are all just mile markers which you can statistically argue about until the cows come in (remember 89% of all statistics are wrong and the other 12% are made up). In my opinion whether NPS is less more or less valid than other measures is academic unless you remove the blindfold whilst driving. I totally acknowledge the summary point of the article is exactly this and the foray into the value of NPS will stoke debate but there is a danger that the real issue of not asking why could get lost. Fred Reichheld has always said your not using the system correctly if you do not ask why. Maybe they should change the open source licence to make the follow up question mandatory?
As children we used to ask why a lot and yet as we get to be adults we seem to get scared of asking that for fear of looking like we don't understand. We all need to embrace our inner child more.