This prompt guides you through a systematic root cause analysis process, starting from identified data anomalies to pinpoint underlying issues and actionable insights within your systems or processes.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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This prompt is part of the premium pack "Advanced exploratory data analysis toolkit".
Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
Formulate a structured template for conducting thorough post-incident reviews (PIRs), focusing on root cause analysis and preventative actions.
Guide through a systematic 5 Whys root cause analysis for a specific problem or defect, identifying the underlying cause and suggesting preventative actions.
