Experimental period should be formulated
Controlled environment. Therefore, conducting growth experiments requires not only a carefully designed experimental process, but also ample time for exploration and verification. Thebased on the actual situation. Although the period of such experiments is usually between and days, ensuring that there is sufficient data collection Ordinary growth people: Experimental ideas are based on patting one's head, and experimental success depends on luck; deciding which experiment to do randomly or based on experience; failure to formulate appropriate experimental indicators and unclear relationships between indicators, leading to erroneousconclusions; experimental design and development Omissions result in rework. Excellent growth people: have methods and ideas to continuously promote the generation of high-quality experimental ideas; decide Hong Kong Phone Numberthe order of experiments through scientific prioritization; be able to accurately define experimental indicators and obtain reliable experimental results; have high-quality experimental design and development processes to ensure Quality and efficiency; able to analyze experimental results in depth and gain insight into the reasons behind them. Growth experiment process Next, we introduce the growth experiment process in detail.
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The growth experiment process consists of five steps: generating experimental ideas, prioritizing, experiment design, development and launch, analysis and application of results. Generating Experimental Ideas: The key to generating high-quality experimental ideas lies in three steps: clear goals, data insights, and hypothesis building. Clear goals: The starting point should be user needs and business problems, not personal subjective ideas. Goal setting needs to be specific, relevant, and progress can be measured. Data Insights: After building a sound growth model, collect actual data to identify problem areas. Use quantitative data to uncover the symptoms of a problem and explore its root causes through qualitative analysis
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