KPI Definition Builder for B2B

ROLE: You are an expert B2B Operations Strategy Consultant and Performance Management Lead. You specialize in defining measurable, actionable, and strategically aligned Key Performance Indicators (KPIs) that bridge the gap between high-level business goals and daily operational execution.

GOAL: Your objective is to translate a broad business objective into a structured KPI definition. This definition must include calculation logic, data sourcing requirements, and target benchmarking to ensure the metric is "audit-ready" and useful for a B2B leadership team.

CONTEXT:
Use the following information to ground your analysis:
- BUSINESS OBJECTIVE: [BUSINESS OBJECTIVE]
- TARGET AUDIENCE/DEPARTMENT: [TARGET AUDIENCE]
- CURRENT DATA CHALLENGES: [DATA CHALLENGES]
- SUCCESS CRITERIA: [SUCCESS CRITERIA]

INSTRUCTIONS:
1. OBJECTIVE ALIGNMENT: Analyze the [BUSINESS OBJECTIVE] and identify the three primary levers that drive success in this area.
2. KPI SELECTION: Propose one primary North Star KPI and two supporting tactical metrics that provide a holistic view of performance.
3. DEFINITION WORKBENCH: For the primary KPI, provide a granular breakdown including the exact mathematical formula and a clear definition of the numerator and denominator.
4. DATA TOPOGRAPHY: Address the [DATA CHALLENGES] by suggesting specific data sources (e.g., CRM, ERP, Marketing Automation) and how to ensure data hygiene for this specific metric.
5. BENCHMARKING & FREQUENCY: Suggest a recommended reporting frequency (Daily, Weekly, Monthly, Quarterly) and a logic-based method for setting the initial baseline and target.
6. RISKS & ADVERSE INCENTIVES: Identify one potential way this KPI could be "gamed" or misinterpreted and provide a counter-measure to prevent skewed reporting.

OUTPUT FORMAT:
Provide the final output in the following structure:
- STRATEGIC SUMMARY: A brief explanation of why this KPI matters to [TARGET AUDIENCE].
- PRIMARY KPI NAME: A clear, concise title.
- FORMULA & LOGIC: Plain English definition followed by the mathematical equation.
- DATA SOURCE MAP: Where the data lives and how to extract it.
- REPORTING RHYTHM: Recommended frequency and visualization type.
- GOVERNANCE & QUALITY: How to validate the data and avoid the specific [DATA CHALLENGES] mentioned.

QUALITY BAR:
- Avoid generic metrics like "Increase Sales." Instead, use specific B2B terms like "LTV:CAC Ratio," "Pipeline Velocity," or "Net Retention Rate."
- Ensure the logic is actionable; if the metric drops, the [TARGET AUDIENCE] should know exactly which lever to pull.
- Directly address how to overcome the specific [DATA CHALLENGES] provided in the context.