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sensitivity-methodology

Analyze locked assessment determinations with scenario, boundary, and Monte Carlo methods.

Updated Mar 9, 2026
Search Tags:#sensitivity analysis#monte carlo#scenario analysis#robustness check#methodology selection#determination stability
One-click install
npx skills add https://github.com/Yazo1968/market --skill sensitivity-methodology
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sensitivity-methodology
Source: https://github.com/Yazo1968/market/tree/main/plugins/startup-assessment/skills/sensitivity-methodology
Command: npx skills add https://github.com/Yazo1968/market --skill sensitivity-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill rigorously tests the stability and robustness of a locked assessment determination, ensuring confidence before proceeding to the recommendation phase.

Core Features & Use Cases

  • Methodology Selection: Guides the selection of appropriate sensitivity analysis methods (Scenario Analysis, Boundary Analysis, Monte Carlo) based on determination type.
  • Robustness Classification: Provides a clear classification (Robust, Moderately Robust, Fragile) of the determination's stability.
  • Use Case: After an assessment concludes a 'CONDITIONAL GO' determination, this skill can be used to understand how sensitive that determination is to changes in market growth assumptions or competitive pressures. It will output a report detailing the findings and whether 'Path B' deal terms negotiation is available.

Quick Start

Run sensitivity analysis on the current locked determination.

Frequently Asked Questions about sensitivity-methodology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test the robustness of a locked assessment determination?▼

You can test determination stability by applying sensitivity analysis methodologies like scenario analysis, boundary/flip-point analysis, and Monte Carlo simulation to classify resilience as Robust, Moderately Robust, or Fragile.

What is the best methodology selection for sensitivity analysis on conditional determinations?▼

The best methodology selection depends on your determination type, guiding whether to apply scenario analysis, boundary analysis, or Monte Carlo simulation to evaluate stability and check Path B deal terms negotiation availability.

Can I use Monte Carlo simulation to check determination stability for market growth assumptions?▼

Yes, you can use Monte Carlo simulation to evaluate determination stability against market growth assumptions and competitive pressures, verifying whether a CONDITIONAL GO determination remains robust under varying conditions.

Does sensitivity analysis output machine-readable JSON for robustness classification?▼

Yes, sensitivity analysis generates machine-readable JSON outputs alongside human-readable HTML/PDF reports, detailing methodology selection, execution processes, and the robustness classification of your locked assessment determination.

When do I need to run a robustness check and boundary analysis on an assessment?▼

You need to run a robustness check with boundary analysis after an assessment concludes a CONDITIONAL GO determination, allowing you to identify flip-points and understand sensitivity to changing market growth assumptions or competitive pressures.

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