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Develop AI product strategy and identify AI opportunities for your product. Use when: ai strategy, ai product, ai features, ai roadmap, ai opportunities, build vs buy ai.
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SOC 職業分類に基づく
Performs rigorous Software as a Service (SaaS) cohort analysis: retention curves, Lifetime Value (LTV), Customer Acquisition Cost (CAC) payback, Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and expansion versus churn decomposition with dollar-weighted and logo-weighted views. Use when diagnosing retention problems, forecasting Annual Recurring Revenue (ARR), evaluating pricing changes, segmenting customer health, validating product-market fit, or preparing board and investor key-performance-indicator reports.
SaaS financial modeling engine that generates unit economics models, feature ROI calculators, pricing scenario analyses, TAM/SAM/SOM sizing, build-vs-buy comparisons, and revenue projections from natural language inputs. Use when building business cases, calculating LTV/CAC/payback, modeling pricing changes, estimating feature revenue impact, running sensitivity analyses, or preparing financial justifications for product investments. Produces actual calculations with explicit assumptions and sensitivity ranges.
Models cash burn, runway, and scenario-based cash flow with explicit triggers, default-alive versus default-dead diagnosis, and a 13-week rolling forecast. Use when planning a fundraise, deciding on layoffs, evaluating hiring plans, modeling a downturn, presenting cash position to the board, or pressure-testing a Chief Financial Officer (CFO) operating plan.
Ranks competing investments using Net Present Value (NPV), Internal Rate of Return (IRR), payback period, Profitability Index (PI), and strategic option value - then produces a portfolio-level recommendation. Use when evaluating capital expenditure requests, comparing Mergers and Acquisitions (M&A) targets, sizing Research and Development (R&D) bets, prioritizing engineering investments, sun-setting initiatives, or preparing a board capital allocation memo.
Builds a transparent Discounted Cash Flow (DCF) valuation with a 5-10 year forecast, terminal value, Weighted Average Cost of Capital (WACC) derivation, sensitivity tables, and a football-field summary. Use when valuing a company, business unit, acquisition target, or capital project; pressure-testing an investment thesis; preparing a board valuation memo; or stress-testing assumptions against precedent transactions and trading comparables.
Performs structured fundamental analysis of annual reports (Form 10-K, Form 10-Q): ratio analysis, quality of earnings, working-capital efficiency, segment decomposition, accounting red flags, and Management's Discussion and Analysis (MD&A) parsing. Use when underwriting an investment, evaluating a competitor, preparing for an earnings call, building peer comparables, or screening for accounting risk.
| name | ai-product-strategy |
| description | Develop AI product strategy and identify AI opportunities for your product. Use when: ai strategy, ai product, ai features, ai roadmap, ai opportunities, build vs buy ai. |
Develop AI product strategy and identify AI opportunities for your product.
Read context files to understand product and market position.
Categories: Automation, Prediction, Personalization, Content Generation, Data Analysis, Decision Support.
Evaluate approach for top opportunities.
Evaluate proprietary data, flywheel effects, replicability, and time to defensibility.
Transparency, user control, graceful failures, progressive disclosure, trust building.
Phase 1: MVP → Phase 2: Expansion → Phase 3: Differentiation
Value, usability, feasibility, and viability risks.
