Transform raw product data into interactive HTML analysis reports.
npx skills add https://github.com/SpaceZephyr/allSkills --skill space-analytics-spacezephyr
Please help me install this Agent Skill. Skill: SPACE-analytics Source: https://github.com/SpaceZephyr/allSkills/tree/main/pm-analytics Command: npx skills add https://github.com/SpaceZephyr/allSkills --skill space-analytics-spacezephyr
Product teams often have access to raw data like CSV files, SQL query results, or metric fluctuation descriptions but lack a structured workflow to turn this data into clear, actionable product decisions, leading to slow or incorrect strategic choices.
Use the SPACE-analytics skill to analyze the attached user retention CSV data and generate an interactive HTML report with root cause insights and prioritized action recommendations.
High-intent search queries and answers about installing and using this skill.
Funnel conversion analysis identifies bottlenecks by breaking down user journey stages and applying metric decomposition to isolate drop-offs. It transforms SQL query results into visual charts and prioritized action plans with experiment designs.
Yes, you can generate interactive HTML reports from CSV data for user retention analysis. The output includes visual charts, credibility-labeled hypotheses, and prioritized action recommendations formatted for direct use in product decision meetings.
Interpreting A/B test results involves applying hypothesis testing with credibility labeling to validate insights. This process yields prioritized action recommendations and concrete experiment designs to confirm product decisions.
Yes, product analytics processes raw SQL query results to perform user segmentation comparison. It applies metric decomposition and generates visual charts to differentiate segment behaviors and produce actionable product decision insights.
Turn raw product operation data into actionable decisions by running an end-to-end workflow covering data health checks, metric decomposition, and hypothesis testing. This yields prioritized action plans and interactive HTML reports.
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gyalamanch001aDesign statistically valid A/B testing plans and evaluate experiment results.
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zephyrwang6Analyze business data to produce decision recommendations and an HTML report.
