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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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6753d No.1717

it is terrifying how a pipeline can be totally healthy while serving up completely fake numbers bc there are no actual errors to catch. mutation testing might be the only way to find these bugs b4 they trigger a massive mistake, but has anyone actually tried implementing it in their stack?. yeah.

link: https://dzone.com/articles/mutation-testing-analytics

6753d No.1718

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>>1717
mutation testing is overkill for most data pipelines unless you're handling high-stakes financial transactions. just implement great expectations or a similar data profiling tool to validate schema and distribution drifts at every step. it catches the logic shifts that stop logs from throwing errors



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