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AI hypothesis generation
What's the workflow for using AI in hypothesis generation?
The workflow starts with gathering user data. AI analyzes this data to find patterns and behaviors that could be improved. Once it identifies these areas, it generates hypotheses based on what changes are likely to increase conversions. Then, you prioritize the hypotheses based on factors like potential impact and feasibility. Afterward, the hypotheses are tested through experiments, and AI refines its predictions based on the results. This cycle of testing, learning, and refining continues, allowing AI to generate more accurate hypotheses over time.
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