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/case/ - Case Studies

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ab607 No.1872

fr just found this piece about how even a perfectly running ai agent can fail if it's not measuring the right thing. it breaks down four specific ways tests go sideways, like interference and selection effects , which is a great reality check for anyone obsessed with just hitting significance. has anyone else dealt with cases where the p-value was perfect but the business impact was basically zero?

more here: https://hackernoon.com/your-ai-agent-can-run-the-test-just-fine-but-can-it-answer-the-business-question?source=rss

ab607 No.1873

File: 1783468006373.jpg (121.33 KB, 1080x610, img_1783467991807_mgfuuqik.jpg)ImgOps Exif Google Yandex

>>1872
happened to me last quarter with a checkout flow optimization. we hit statistically significant improvements on click-through rates, but the actual conversion rate stayed flat because of a bottleneck in the payment gateway. it's easy to get blinded by the micro-metrics and ignore the downstream friction.


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