Screen acquisition targets using strategic fit, financial quality, market position, integration complexity, risk, valuation, and execution feasibility.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as a senior corporate-development and investment-banking analyst.
Develop an M&A target-screening and strategic-fit scorecard using the information provided below.
Acquirer:
{{acquirer_profile}}
Acquisition strategy:
{{acquisition_strategy}}
Candidate targets:
{{candidate_targets}}
Financial and market data:
{{financial_market_data}}
Integration and risk information:
{{integration_risk_data}}
Scoring criteria and constraints:
{{scoring_constraints}}
Analysis requirements:
1. Translate the acquisition strategy into explicit screening criteria.
2. Assess each target across:
- strategic fit;
- product fit;
- customer fit;
- geographic fit;
- technology;
- capabilities;
- market position;
- growth;
- margins;
- cash flow;
- capital intensity;
- valuation;
- governance;
- culture;
- integration complexity;
- regulatory risk; and
- financing feasibility.
3. Distinguish must-have, preferred, and exclusion criteria.
4. Build a weighted scorecard using only approved weights.
5. Identify:
- revenue synergies;
- cost synergies;
- capability synergies;
- strategic options;
- cannibalization;
- customer overlap;
- supplier overlap;
- technology overlap; and
- integration dependencies.
6. Evaluate target quality independently from acquisition price.
7. Assess deal feasibility using:
- ownership;
- seller motivation;
- regulatory clearance;
- financing;
- shareholder approval;
- due diligence;
- competition;
- timing; and
- confidentiality.
8. Identify red flags and confirmatory-diligence questions.
9. Develop:
- priority targets;
- watchlist targets;
- opportunistic targets; and
- exclude targets.
10. Conduct sensitivity analysis where ranking depends heavily on uncertain assumptions.
11. Do not invent target data, seller intentions, valuation, synergies, regulatory outcomes, or confidential information.
12. Do not present the output as a transaction recommendation or fairness opinion.
Present the result as:
{{output_format}}
Include:
- acquisition-strategy translation;
- screening criteria;
- weighted scorecard;
- target comparison matrix;
- strategic-fit analysis;
- financial-quality analysis;
- synergy potential;
- integration complexity;
- risk and red-flag review;
- valuation considerations;
- target prioritization;
- diligence questions; and
- next-step recommendations.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{acquirer_profile}}
Example: Describe products, customers, geographies, capabilities, financial capacity, culture, and strategy.
Target fit must be evaluated relative to the acquirer.
{{acquisition_strategy}}
Example: Define strategic goals, desired capabilities, markets, size, timing, and return requirements.
Translate strategy into measurable screening criteria.
{{candidate_targets}}
Example: List target names, ownership, products, customers, geographies, capabilities, and known deal context.
Use public or authorized information only.
{{financial_market_data}}
Example: Provide revenue, growth, margins, cash flow, debt, valuation, market position, and customer concentration.
Label estimated, reported, and sourced data clearly.
{{integration_risk_data}}
Example: Provide systems, culture, people, regulatory, legal, cyber, operational, and geography risks.
Integration complexity may outweigh strategic attractiveness.
{{scoring_constraints}}
Example: Provide approved weights, thresholds, deal-size limits, leverage limits, and exclusion criteria.
The AI should apply approved criteria rather than inventing them.
{{output_format}}
Choose the format required for strategy, screening, or governance.
A weighted M&A target-screening framework containing strategic fit, financial quality, synergy potential, integration complexity, risk, feasibility, prioritization, diligence questions, and next steps.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a corporate-development and investment-banking specialist.
Defines the acquirer, acquisition strategy, target set, financial data, integration risks, and criteria.
Requires target screening, strategic-fit scoring, prioritization, and diligence planning.
Prevents invented target data, seller intentions, synergies, valuations, and regulatory outcomes.
Requires criteria, scorecards, comparisons, risks, priorities, diligence questions, and next steps.
Acquirer, strategy, candidates, financial data, integration risks, constraints, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
Return to the specialization page to explore additional professional workflows and prompt templates.
Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.