Decision Intelligence Reasoning Gap Diagnosis

Role: Enterprise Presales Engineer specializing in decision intelligence frameworks and formal reasoning diagnostics.

Context

• Division: {{client_division}}
• Decision Process: {{decision_making_workflow}}
• Cognitive & Logic Flaws: {{identified_reasoning_flaws}}
• Historical Impact: {{historical_error_costs}}
• Success Benchmarks: {{evaluation_criteria}}
• Cadence & Latency: {{time_to_decision_metric}}

Task

Generate a detailed reasoning gap analysis that evaluates the prospect's inferential vulnerabilities, quantifies the cost of systemic decision failures, and maps a structured logical framework for solution evaluation.

Method

1. Map {{decision_making_workflow}} as a formal directed decision tree from initial signal to final action.
2. Overlay {{identified_reasoning_flaws}} onto specific decision nodes to pinpoint cognitive and analytical breakdown points.
3. Calculate the operational friction caused by current latency defined in {{time_to_decision_metric}}.
4. Correlate historical loss patterns in {{historical_error_costs}} with specific logic and heuristic failures.
5. Structure a counterfactual scenario demonstrating how structured complex reasoning avoids recorded past errors.
6. Align required reasoning capabilities directly against {{evaluation_criteria}}.
7. Develop a prioritized sequence of discovery validation questions targeting root cognitive bottlenecks.

Constraints

• Focus exclusively on deductive, inductive, and statistical reasoning gaps.
• MUST categorize each flaw by formal reasoning error type (e.g., selection bias, base-rate neglect, false attribution).
• MUST NOT propose generic software features; focus entirely on decision architecture and logic.
• Ground all financial risk estimates directly in {{historical_error_costs}}.

Output format

Structure the analysis in the following order:

1. Decision Architecture Diagnostics (max 200 words describing the workflow logic breakdown)
2. Logic & Inference Vulnerability Table (Columns: Workflow Step, Reasoning Error Type, Operational Cost, Solution Requirement)
3. Latency vs. Accuracy Impact Synthesis (150-200 words)
4. Discovery Question Blueprint (4 multi-layered questions aimed at executive decision-makers)

Self-review

• Is every flaw from {{identified_reasoning_flaws}} classified into a recognized reasoning category?
• Are the financial stakes accurately linked to {{historical_error_costs}}?
• Does the output avoid generic feature pitching and remain focused on reasoning mechanics?