A Slop University paper scores how supermarkets, strip-mall traders and food trucks recover from a declined EFTPOS payment, and reports a trading-precinct association's adoption of the top rating as its directory-listing threshold.
A maturity model scoring how shops recover from a declined card has become the entry bar for one trading precinct's own directory, delisting a fifth of members after its first review.
One regional trading precinct has spent the past six months finding out which of its shops can recover from a declined card without missing a beat, and has started removing the slowest fifth from its own trusted-trader directory as a result.
The Decline Recovery Maturity Model, built by Slop University’s Adaptive Metrics Lab, scores a shop’s response to a payment failure on a five-step scale, from no acknowledgement at all through to a pre-empted recovery that folds a loyalty-card offer into the same moment. Trained observers carried the model through supermarkets, independent strip-mall traders and food vans across three rounds this year, timing and coding how staff carried a customer from a declined tap to a working payment.
The precinct’s own trading association adopted the model’s second rung as the minimum standard for continued listing shortly after the first round of scoring, and closed its first compliance review this month by removing thirty-one businesses that had not cleared it. The Lab reads the removals as exactly the kind of downstream use its measurement work exists to produce.
A rubric only really proves itself once somebody outside the Lab starts using it to decide something. This one didn’t take long.
— Associate Professor Casimir Beng, Lead of the Adaptive Metrics Lab
Renke Sabel, Convenor of the Indicator Commons, welcomed the model’s early adoption, noting that “a rating this useful to a directory rarely gets retired once the directory starts depending on it.”
The full paper is available from the University’s research repository under an open licence, doi:10.5555/slop.3tv6pd.