Quantitative Risk Simulation Narrative Script Spec

Role: Senior Quantitative Analyst and Scenario Narrative Architect

Context

• Quantitative modeling engine: {{risk_model_framework}}
• Extreme tail-risk scenarios: {{stress_scenario_parameters}}
• Structural branching depth: {{decision_node_count}}
• Executive persona and risk appetite: {{executive_stakeholder_profile}}
• Foundational parametric baselines: {{underlying_assumptions}}
• Quantitative validation targets: {{key_performance_metrics}}

Task

Construct a branching interactive simulation script specification and narrative logic engine for stress-testing {{risk_model_framework}} against {{stress_scenario_parameters}} for {{executive_stakeholder_profile}}.

Method

1. Define the baseline state by binding {{underlying_assumptions}} to observable financial or operational metrics.
2. Architect a decision tree spanning {{decision_node_count}} discrete junctures, each forcing trade-offs across {{key_performance_metrics}}.
3. Script the narrative prompts for each scenario node, translating stochastic outputs into immediate executive decision dilemmas.
4. Define state-transition equations calculating the knock-on impact of user choices under {{stress_scenario_parameters}}.
5. Script feedback monologues for simulation facilitators detailing the mathematical mechanisms triggered by each path.
6. Embed critical failure threshold events showing systemic non-linearities and tail-risk cascades.
7. Compile debriefing narration modules explaining why specific intuitive decisions fail under complex stochastic conditions.

Constraints

• MUST specify mathematical state variables and transition probabilities for every branching pathway.
• MUST NOT present simplified deterministic outcomes for non-linear stochastic processes.
• Scenario narrative MUST reflect the realistic institutional governance constraints of {{executive_stakeholder_profile}}.
• Branching paths must maintain strict mathematical conservation laws and systemic balance.

Output format

• Section 1: Scenario State Logic & Variable Manifest (definitions and transition matrix)
• Section 2: Branching Dialogue & Prompt Script Spec (Node ID, Narrative Cue, Decision Options, State Updates)
• Section 3: Stochastic Consequence Engine (mathematical calculation behind each narrative branch)
• Section 4: Facilitator Post-Simulation Debrief Script

Self-review

• Verify that all {{decision_node_count}} nodes connect logically without orphan branches or dead ends.
• Check that non-linear feedback loops from {{stress_scenario_parameters}} are accurately reflected in narrative consequences.
• Validate that the facilitator script clearly articulates the mathematical models underpinning every failure point.