Skill UI

Guides product and growth teams through evaluating whether to scale, test, or kill acquisition channels using unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability indicators for data-driven go-to-market budgeting.

Interactive guidance that evaluates SaaS growth, retention, unit economics, and capital efficiency together so leaders can surface red flags, prioritize fixes, and prepare board or investor reviews.

Analyzes SaaS unit economics and capital efficiency to guide PMs and leaders on CAC, LTV, payback, burn, runway, and Rule of 40 trade-offs before scaling or fundraising.

This skill provides strategic financial frameworks for startup CFOs and finance leaders. It focuses on numbers-driven decisions, including burn rate, runway, unit economics (LTV, CAC), fundraising modeling, and cash management. Use it to analyze financial health, prepare for fundraising rounds, and optimize cash flow scenarios.

This skill applies behavioral economics, specifically prospect theory, to frame messages emphasizing the cost of inaction (loss) rather than just the benefits of action (gain). It guides the creation of persuasive copy, UX copy, and pricing strategies by setting credible reference points and quantifying the missed opportunity. The goal is to ethically leverage the psychological pain of delay, ensuring the approach remains credible and avoids manipulative fear-mongering.

Applies principles of behavioral economics and consumer psychology to optimize how pricing, packaging, and offers are structured and presented. This skill helps maximize the perceived value and fairness of products, guiding the use of anchors, decoy effects, and strategic framing to improve conversion rates and upsell opportunities while maintaining ethical transparency.

Stress-tests any plan that spends money—hiring, fundraising, channel budgets—through six CFO questions covering burn, runway, unit economics, dilution, and bear-case survival, then issues a GREEN/YELLOW/RED verdict.

A comprehensive guide for ensuring rigorous statistical inference in experimental economics. It covers critical areas such as power justification, determining the correct unit of observation (cluster-robust SEs), handling multiple comparisons, and applying non-parametric tests. This framework helps researchers transition from preliminary findings to statistically robust, publishable conclusions.

This comprehensive guide provides structural and stylistic advice for authors submitting experimental economics manuscripts. It emphasizes adopting a 'design-forward' narrative, ensuring procedural transparency, quantifying results in subjects' units, and meticulously structuring the core design section to meet the high standards of expert reviewers.

A comprehensive guide for authors submitting manuscripts to cross-disciplinary journals (e.g., Economics and Geography). It details how to anticipate and pre-emptively address systematic objections from two distinct scholarly communities, ensuring the paper satisfies both rigorous quantitative methods and deep spatial theory. Use this when your work bridges two fields and needs to survive double-anonymous review.

A comprehensive guide for authors in spatial economics on conducting rigorous robustness checks. It systematically addresses common spatial threats—such as the Modifiable Areal Unit Problem (MAUP), spatial weight matrix sensitivity, and spatial autocorrelation—to ensure published results are scientifically sound and not artifacts of the data definition or model specification. Essential for high-level academic submissions.

A comprehensive academic guide for refining research questions intended for the Journal of Economic Geography (JEG). It implements a rigorous "two-community test," ensuring the topic successfully bridges geographical economics (quantitative models) and human geography (place-based studies). Use this checklist before major data collection to validate the mechanism and justify the spatial role of the research.