A new onboarding experience was launched but showed no improvement in engagement and conversion rates due to broken event tracking.
Bad data can mislead decisions even when it appears legitimate, leading to inaccurate conclusions and potential feature failures.
Real-world scenarios demonstrate how misinterpreted data can almost lead to discarding successful features or misjudging user behaviors.
Having clean and accurate data is crucial for effective decision-making in product development, highlighting the importance of data integrity for product success.