Skill UI

This skill provides strategic financial frameworks for startup CFOs and finance leaders. It focuses on data-driven decision-making, covering unit economics (LTV, CAC), burn rate, runway, fundraising modeling, and board financials. It includes Python tools for calculating burn scenarios, analyzing unit economics per cohort, and projecting dilution. Ideal for managing cash flow, optimizing treasury, and preparing fundraising packages to ensure company survival and growth.

A comprehensive framework for creating defensible, bottom-up sales forecasts. This model guides users through building detailed pipeline stage models, conducting scenario analysis (Upside, Base, Downside), and logging key assumptions. Ideal for sales and revenue leaders who need a systematic, data-driven approach to projecting future revenue, moving beyond simple guesswork.

This sophisticated tool optimizes marketing budget allocation across multiple channels using performance data, ROI calculations, and diminishing returns modeling. It analyzes current spend efficiency (ROAS, CPA) and generates a data-driven reallocation plan. Ideal for justifying spend shifts, maximizing investment returns, and creating phased implementation timelines for measurable growth.

This guide provides a critical framework for academic authorship targeting top-tier Operations Management journals. It instructs researchers on how to centralize the operational decision, select the appropriate analytical or empirical 'lane,' and correctly map the research question to a specific editorial department, ensuring the work meets the journal's core scope before any modeling or data analysis begins.

A comprehensive guide for reporting data analysis in Organization Studies manuscripts. It mandates rigorous analytic transparency by detailing how raw data transitions into theoretical claims. Covers best practices for qualitative coding (data-to-theory ladder), process modeling, and advanced quantitative robustness checks, ensuring the reader can audit the entire inference process.

This skill provides expert analysis for early-stage startups, covering market sizing, financial modeling, and competitive strategy. It helps founders and investors validate business assumptions, plan fundraising, and optimize growth metrics. The analyst uses data-driven frameworks to deliver actionable insights for pre-seed through Series A companies, ensuring strategic decisions are grounded in realistic benchmarks and industry standards.