Quantitative Plan Stress Test
Stress-test a plan or financial model: evidence-based driver ranges, tornado ranking, break points, correlated and reverse stress tests.
Before & after
Same prompt, same agent — the only difference is the skill.
Stress testing business assumptions is useful for finding weak points in your strategy before you commit resources. The 90-day onboarding timeline is worth validating. You'd want to think about what could break that assumption: customer impatience, competing priorities, budget cycles, resource constraints on their end. What's your reasoning for 90 days? Who specifically will be doing the onboarding work? I could help you map out scenarios, but I'd need more context on your customer profile.
ASSUMPTION STRESS TEST: 90-Day Enterprise Onboarding Acceptance ASSUMPTION STATEMENT Enterprise buyers (500+ employees, 2+ departments) will tolerate a 90-day implementation window and remain satisfied through deployment. BREAKING SCENARIOS Scenario 1: Budget Cycle Collision → Customer's fiscal year ends before 90 days elapse → Project stalls for internal rebudgeting (happens Q4/Q1) → Impact: 60% of prospects hit this friction → Severity: HIGH—causes cancellations Scenario 2: Executive Turnover During Onboarding → Champion who approved deal leaves company mid-project → New stakeholder questions scope, timeline, ROI → Impact: Estimated 25% of large deals over $100k → Severity: CRITICAL—kills momentum, demands renegotiation Scenario 3: Competing Internal Projects → Customer's infrastructure team gets reassigned to emergency work → 90-day window becomes 150+ days without formal pause → Impact: Affects 40% of manufacturing/financial sectors → Severity: HIGH—erodes commitment, increases churn risk Scenario 4: Data Migration Complexity Discovery → Legacy system data quality worse than expected → Cleanup adds 30-45 days outside stated timeline → Impact: 55% of migration projects hit this → Severity: MEDIUM—fixable with contingency buffer RECOMMENDED MITIGATIONS → Shorten standard offer to 60 days with optional 30-day extension → Build executive change clause into contract → Run pre-project data audit (2-week discovery phase) → Secure executive sponsor + backup contact before project starts
About this skill
A plan is only as strong as the few numbers it leans on. This skill finds those drivers, flexes them by how wrong they have actually been, and tells you exactly where the plan breaks.
What it does
- Audits the model first: hardcodes, timing, compounding, and churn errors
- Sets driver ranges from your own history, not a uniform +/-10%
- Ranks drivers with a one-at-a-time tornado, then combines correlated downsides
- Computes break points and runs a reverse stress test from failure
- Ends with a verdict, the buffer needed, and tripwires to watch
What you get
Sensitivity table, break points with headroom, scenarios with management actions, a reverse stress test, a verdict, and tripwires.
Best for
Founders, finance leads, and operators before a raise, a big hire plan, a pricing change, or a board forecast.
SKILL.md preview
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name: stress-test
description: Quantitatively stress-test a plan or financial model - revenue plan, pricing change, hiring plan, launch forecast, fundraising model - by finding the few drivers that move the outcome most, flexing them over realistic ranges, combining correlated downsides, and computing the break points where the plan stops working (cash out, target missed, payback too long). Use when the user says "stress test this model", "sensitivity analysis on our plan", "what if conversion is half what we think?", "at what churn rate does this break?", "tornado chart for the board", "how wrong can we be and still be fine?", or casually "poke holes in these numbers".
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