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Errors when working with HADI cycles:
– Performing additional actions not provided for by the hypothesis, which can unpredictably affect the result.
– Testing obvious hypotheses. For example, increasing sales before the holidays.
– Testing unrealistic hypotheses. For example, if you change the website design, sales will increase by 100%.
– The effectiveness indicator of the hypothesis is not clearly defined. In this case, it will not be possible to evaluate the result.
These errors may result in lost time or inability to interpret the result.
