Guide exploratory data analysis to derive actionable insights from datasets.
npx skills add https://github.com/pe-menezes/pmflow --skill data-insights-pe-menezes
Please help me install this Agent Skill. Skill: data-insights Source: https://github.com/pe-menezes/pmflow/tree/main/skills/data-insights Command: npx skills add https://github.com/pe-menezes/pmflow --skill data-insights-pe-menezes
This Skill helps Product Managers transform raw data into clear, actionable insights, enabling data-driven decision-making and hypothesis validation.
Use the data-insights skill to analyze the attached CSV file and identify the key drivers of user churn.
High-intent search queries and answers about installing and using this skill.
To investigate user retention drops, you formulate specific data questions, load and clean your dataset, perform segmented analysis to locate funnel drop-off points, and interpret trends to identify contributing factors for product improvements.
Formulating answerable data questions refines vague curiosities into specific, testable hypotheses, ensuring your exploratory data analysis focuses on deriving actionable product insights rather than executing aimless queries.
Yes, you can load and clean data from CSV files, direct paste, or database connections. The process includes data quality checks to prepare datasets for accurate metric investigation and segmented analysis.
Yes, this data analysis approach explicitly flags common interpretation pitfalls like correlation versus causation, ensuring you accurately interpret exploratory results and derive genuinely actionable product insights.
Identifying key drivers of user churn requires loading your dataset, performing segmented analysis across user cohorts, interpreting trends, and validating hypotheses to pinpoint the specific behavioral or product factors causing retention loss.
Delphine-LAnalyze Jupyter notebooks with statistical checks and publication-ready visualizations.
Srujan0798Create dashboards that translate data into actionable insights.
minicooheiBuild self-contained interactive HTML dashboards with Chart.js charts and filters.
Yeachan-HeoLoad, clean, and summarize tabular datasets with descriptive statistics.
