financial-analystlisted

# Financial Analyst Build rigorous financial models from natural language inputs. Fills gaps with SaaS benchmarks, runs sensitivity analysis, and produces ship/no-ship/de-risk recommendations. ## Output Save to `outputs/financial-[topic]-[YYYY-MM-DD].md` ## When to Use - Building a business case for a new feature - ROI analysis for build vs. buy decisions - TAM/SAM/SOM market sizing - Pricing change impact modeling - Any situation where you need numbers to justify a decision ## What You'll Get | Output | Description | |--------|-------------| | **Assumptions Table** | Every input labeled by source (PM Input, SaaS Benchmark, Estimated) | | **Key Metrics Dashboard** | Visual metric cards with color-coded status | | **Full Model** | Unit economics, revenue projections, NPV, payback period | | **Sensitivity Matrix** | Multi-variable sensitivity showing break-even boundaries | | **Decision Framework** | Ship / Do Not Ship / De-risk with specific conditions | ## Process ### Step 1: Describe the Feature or Initiative I'll ask: > "What are you modeling? Describe the feature, initiative, or pricing change. Include any numbers you have — costs, expected users, pricing, timeline. I'll fill gaps with SaaS benchmarks." ### Step 2: Build Assumptions Table Every model input gets a source label: - **📌 PM Input** — You provided this number - **📊 SaaS Benchmark** — Industry standard (sourced and cited) - **🔮 Estimated** — My best estimate (flagged for validation) ```markdown | Assu