Champion/challenger testing is a systematic, empirical method of comparing the performance of an existing decision strategy against that of a new one you think might deliver better results. It’s sometimes explained with a horse race metaphor: you run two decisioning strategies side by side on a fair track and see which one wins.
Now imagine you could use advanced science to breed better horses, so that each new challenger beat the current champion by a length. Race after race, competition would take place at a higher level and performance would continue to climb.
That’s what Strategy Science does. It’s a data-guided means of developing better challenger strategies that continually push business performance higher.
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