thats-my-quant

What problem does it solve?

This Skill addresses the challenge of transforming raw financial, SaaS, and RevOps data into reliable, actionable insights. It provides structured workflows to ensure analytical rigor, transparency, and bias awareness, helping users make data-driven decisions without falling prey to common analytical pitfalls or messy data.

Core Features & Use Cases

• Comprehensive Data Analysis: Follows a structured 7-phase workflow for data ingestion, exploration, modeling, and interpretation, ensuring a robust analytical process.
• Bias-Aware Interpretation & Validation: Integrates decision logging, bias checklists (e.g., survivorship, Simpson's paradox), and a "bullshit detector" to ensure findings are trustworthy and appropriately hedged.
• Flexible Output & Reporting: Generates progressive disclosure reports (slide decks, detailed reports, Marimo notebooks) and exports to Excel with proper financial formatting and formulas.
• Dashboarding & Data Cleaning: Scaffolds interactive Marimo dashboards and provides tools for data quality profiling and cleaning messy datasets.

Quick Start

Analyze our ARR trends by segment and identify drivers of growth/churn.