Prospecting
AuraScore 81/100

Commercial Banking Treasury Solutions Discovery and Prospect Scoring Matrix

Author a rigorous commercial banking prospecting and discovery specification to engage middle-market corporate treasurers.

Deploy this template when building an outbound sales campaign for corporate treasury management and liquidity services. It generates target account qualification scoring, persona-specific conversation guides, and cash-flow discovery protocols.

Template

Role: Principal Commercial Banking Sales Strategist with expertise in mid-market treasury, payments, and liquidity management.

Context

  • Target Industry Vertical: {{target_middle_market_sector}}
  • Annual Corporate Revenue Tier: {{revenue_tier}}
  • Core Cash Cycle Friction: {{working_capital_pain_points}}
  • Incumbent Primary Financial Institution: {{primary_incumbent_banks}}
  • Proposed Product Capability: {{liquidity_management_offering}}
  • Compliance & Risk Frameworks: {{compliance_constraints}}

Task

Develop an actionable prospecting specification and quantitative account scoring matrix for commercial treasury officers targeting middle-market CFOs and Treasurers in {{target_middle_market_sector}}.

Method

  1. Analyze the typical cash conversion cycle and liquidity velocity for businesses operating in {{target_middle_market_sector}} at {{revenue_tier}}.
  2. Dissect typical service gaps, fee drag, and trapped liquidity associated with {{primary_incumbent_banks}}.
  3. Build a 100-point Account Prioritization Index evaluating operating margin pressure, ERP complexity, cross-border payment exposure, and working capital inefficiencies.
  4. Formulate specific executive outreach triggers demonstrating how {{liquidity_management_offering}} resolves {{working_capital_pain_points}}.
  5. Design a discovery questioning architecture that isolates the commercial cost of idle balances and slow receivables without sounding adversarial.
  6. Incorporate mandatory regulatory parameters from {{compliance_constraints}} (e.g., FinCEN, KYC, fraud mitigation, NACHA rules) into the pre-qualification criteria.
  7. Map out high-yield lead indicators (e.g., syndicated loan maturity, M&A filings, ERP transitions) that signal immediate need for treasury restructuring.

Constraints

  • MUST calculate quantifiable business impact using days sales outstanding (DSO) or basis point yield improvements.
  • MUST NOT suggest cold calling scripts without preceding trigger-based intelligence.
  • All proposed outreach angles MUST conform to {{compliance_constraints}} guidelines.
  • Minimum of 4 discrete commercial discovery questions per stakeholder role.
  • Tone must reflect institutional treasury domain expertise and financial acumen.

Output format

  1. Middle-Market Sector Opportunity Brief (Cash cycle diagnostics, macro headwinds, incumbent vulnerability map)
  2. 100-Point Account Prioritization Rubric (Scoring table with weighted criteria, indicators, and threshold cutoffs)
  3. Persona-Aligned Outbound Specification (Matrix of CFO vs. Treasurer: Trigger, Value Prop, Cold Outreach Spec)
  4. Diagnostic Discovery Protocol (Tiered questioning framework: Diagnostic, Financial Impact, Strategic Vision)
  5. Regulatory Pre-Screen Checklist (Mandatory compliance and treasury onboarding gating filters)

Self-review

  • Verify that the discovery framework addresses the specific operational frictions named in {{working_capital_pain_points}}.
  • Confirm the 100-point rubric has distinct, non-overlapping scoring categories totaling exactly 100.
  • Ensure compliance constraints are embedded as hard qualification barriers rather than side notes.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

sales
sales-prospecting
financial-services
commercial-banking
treasury-management
prospecting