Skill UI

A structured framework for performing in-depth cohort analysis. It helps measure user retention rates, estimate Lifetime Value (LTV), and segment users based on behavior over time. Use this when analyzing growth metrics, identifying churn risks, or presenting product health to leadership.

A comprehensive guide for researchers conducting advanced data analysis and reporting for top marketing journals. It details selecting the appropriate econometric estimator (e.g., ANOVA, DiD, IV, mediation models) based on the study design (experimental, observational, panel). It emphasizes meeting rigorous journal mandates, including exact p-values, standard errors, and effect sizes, and linking statistical findings to practical managerial claims.

A comprehensive guide based on high-impact journal requirements (like PNAS), detailing how to report quantitative scientific claims rigorously. It emphasizes moving beyond simple P values to include effect sizes, confidence intervals, sample size justification, distinction between biological and technical replicates, and ensuring full code and data reproducibility.

This skill allows users to scout and rank football players using the FootVal platform. It supports filtering by league, position, age, foot, and market value. Users can identify undervalued, overvalued, rising, or young players. It also enables viewing club squads, league overviews, and national team lineups based on value. Ideal for scouting briefs and data analysis.

This skill uses FootVal to estimate football player transfer values and compare them against market values. It explains valuation gaps based on factors like performance, potential, contract, and durability. Users can compare 2-4 players to analyze value-for-money. It is not for scouting lists or match scores.