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Uncover the symptoms of a problem and explore its root causes through qualitative analysis (such as user interviews). Combined with industry best practices, experimental hypotheses are refined. Construct a hypothesis: Record it according to a structured experimental hypothesis template, for example: "If [specific change] is implemented, [target metric] is expected to increase by X% because of [underlying reason based on data]." Such a template can help clarify Express expectations and rationale for the experiment. Prioritization: Faced with the many the team, we must not only pursue efficiency to promote rapid growth, but also consider the limited resources. To do this, prioritizing experimental ideas is crucial. It is recommended to use tools such as ROI (return on investment) or ICE scoring modelexpected
impact, success probability Confidence, implementation easeto assist evaluation. However, it is important to realize that prioritization is not an exact science, it is only a relative quantitative assessment tool. In practical applications, accuracy Hong Kong Phone Number should not be excessively pursued, but should be guided by this and flexibly adjusted according to the actual situation. Experimental design: The key to successful experimental design lies in the following three core elements: Select experimental metrics: Choosing appropriate metrics is the cornerstone of evaluating experiment effectiveness. Three types of indicators should be focused on: core indicators: key indicators that directly reflect the success of the experiment; auxiliary indicators: important indicators that have a potential impact on the experimental results
reverse indicators: indicators that can reveal the potential negative Design experimental versions: Determine the number of versions based on the experimental hypothesis. Note that adding experimental versions will increase the required sample size. At the same time, traffic distribution should be carefully planned to ensure effective version comparison. Development and launch: High-quality products, R&D, and testing processes are the cornerstone of the development and launch process. Avoid requirement omissions, requirement design errors, and development bugs leading After confirming the credibility of the experimental results, the next step is to perform indicator analysis. This includes not only the main core indicators, but also
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