Craig Manning is a measurement and modelling specialist. He works where the numbers meet the decision, which tends to be where the interesting problems are hiding. His background runs from Quantitative Investment Strategies at Barclays in London, then credit and risk modelling for New Zealand lenders. Twenty-five years of it, across markets, asset classes, and a fair few spreadsheets.
Most businesses are not short of data. Instead, they are short of the model that turns it into a decision they can trust. That is Craig’s work. He builds the measurement and the models underneath it: predictive pricing, credit segmentation, machine-learning lead scoring, and the analytics that tell you whether a thing is actually working. He has done it for global investment banks and for lenders scaling fast, so he knows the difference between a number that looks good and a number that means something.
At Good CX, Craig holds the measurement layer. When we talk about tracking whether trust is genuinely accumulating, rather than counting activity because activity is easy to count, he is the one who makes that measurable. He also contributes to our Innovation Labs and research work, and judges case competitions on the side, which is a polite way of saying he enjoys watching people think on their feet.
