Uncrowd on LinkedIn: An example of how absolutely good intentions within retail teams can… (2024)

Uncrowd

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An example of how absolutely good intentions within retail teams can undermine feedback metrics to the point of uselessness.🙂 Good intention:Send a survey email within 24 hours of the transaction.⛔ Problem:Human memory begins to be inaccurate within a few minutes, let alone 24 hours. Most feedback will be accurate, but some won't, and you don't know which is which.🙂 Good intention:Explain to the customer how our scoring system works - only a 5 is positive.⛔ Problem: "It's a 50/50 scale" was how one of our Dev team described this pic. Few people want to land a staff member in trouble, so if they bother to respond at all they're more likely to give a 5 even if there were minor issues in their experience. The data is skewed and minor issues (easy fixes!) are missed.🙂 Good intention:Specifically ask customers to rate us 5 if they were generally satisfied, because that's how our system works.⛔ Problem:Asking customers to pick the highest number may be good for the store team reporting high NPS scores, but makes the general data for the retailer useless. 🙂 Good intention:Ask customers to tell us about problems so we can fix before they give negative feedback.⛔ Problem:Fixing customer issues is great, that's what we're all here for, but what's the point in collecting feedback scores at all if your aim is only to collect positive scores? There's no commercial benefit in an exercise in internal back-patting.🙂 Good intention:Make our feedback mechanism as simple and quick as possible, just a 1-5 scale.⛔ Problem:What can a CX team do with this data, company-wide? If scores are high, how do they know what frictions in their CX were missed? If scores fall, how do they know what to change to improve things?The answer to problematic data-collection like this is not to stop collecting data on your CX, it's to collect 👉 different data 👈 . Uncrowd's mission is to help retailers discover the alternative - reliable observational data on the CX environment that doesn't involve telling customers what number to pick.

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