How to effectively learn AI Prompting, with the 'AI for Vice Presidents of Business Development (Prompt Course)'?
Start here: Move from guesswork to AI-assisted Business Development results
This prompt course gives Vice Presidents of Business Development a practical, repeatable way to apply AI across analysis, partnerships, go-to-market, and growth decisions. It replaces blank-page moments with structured prompts, teaches you how to set context and constraints for better outputs, and shows how to transform raw AI responses into executive-ready insights, plans, and artifacts.
What you will learn
- How to translate business goals into clear AI instructions that produce relevant, defensible outputs.
- Methods for combining internal data, market context, and assumptions so the AI works within your constraints.
- Ways to move from broad exploration to decision-grade analysis across market sizing, competition, and segmentation.
- Approaches for sourcing and qualifying partnership opportunities and shaping deal hypotheses.
- Frameworks for testing product feasibility and commercial fit before heavy investment.
- Tactics to craft sales strategies, positioning, and messaging tuned to specific segments and buyers.
- Processes for turning customer feedback into prioritized improvements and revenue hypotheses.
- Workflows for forecasting and scenario planning that combine qualitative inputs with quantitative structure.
- Strategies to prepare presentations, contracts summaries, and reports quickly without losing precision.
- Ways to refine talent acquisition strategies for BD, partnerships, and sales roles.
- Structured steps to plan market expansion and assess M&A options with consistent criteria.
- Quality control habits so outputs are traceable, bias-aware, and easy to review with legal, finance, and product partners.
How the course is organized
The course is broken into focused tracks that reflect common VP Business Development responsibilities. Each track provides prompt frameworks, usage guidance, and checklists that build on each other so you can move from research to strategy to execution.
- AI & ChatGPT for Analysis
- AI & ChatGPT for Partnership Opportunities
- AI & ChatGPT for Product Feasibility Analysis
- AI & ChatGPT for Sales Strategy Formulation
- AI & ChatGPT for Brand Positioning
- AI & ChatGPT for Competitive Analysis
- AI & ChatGPT for Customer Feedback Analysis
- AI & ChatGPT for Financial Forecasting
- AI & ChatGPT for Presentation Preparation
- AI & ChatGPT for Contract Review
- AI & ChatGPT for Talent Acquisition Strategy
- AI & ChatGPT for Market Segmentation Analysis
- AI & ChatGPT for Expansion Strategy
- AI & ChatGPT for Mergers and Acquisitions (M&A)
These tracks form a cohesive operating cadence: sense the market, analyze options, shape strategy, build stakeholder buy-in, execute, and review outcomes.
Using the prompts effectively
- Start with the decision: State the goal, decision criteria, and constraints. This keeps outputs focused and comparable.
- Provide context: ICPs, target segments, pricing ranges, and known constraints improve relevance and reduce rework.
- Chain your work: Use exploration prompts first, then synthesis, then decision support. Treat each step as an input to the next.
- Triangulate: Ask for both qualitative reasoning and quantitative structure. Encourage ranges, assumptions, and sources where applicable.
- Version control: Save prompt-output pairs with timestamps and assumptions so you can revisit and improve them with stakeholders.
- Bias checks: Request counter-arguments, downside risks, and alternative viewpoints. Compare against your baseline data.
- Privacy and compliance: Remove confidential details unless using approved, secure workflows. Summarize or anonymize where needed.
- Final mile: Convert outputs into executive-ready artifacts-briefs, memos, slides, and one-pagers-with clear next steps.
- Human oversight: Treat the AI as an analyst and drafting assistant. Legal, finance, and compliance must review sensitive items like contracts and M&A screens.
How the tracks work together
The course is built so progress in one area improves outcomes in another. Market and competitive analysis sharpen your segmentation and brand positioning. That in turn informs sales strategy and partnership targeting. Customer feedback analysis feeds product feasibility and pricing assumptions. Financial forecasting ties it all together with scenarios that support expansion and M&A decisions. Presentation and contract tracks help communicate and formalize agreements. Talent acquisition ensures your team can execute on the plan. The result is a connected workflow that reduces cycle time between insight and action.
Value you can expect
- Faster cycles from question to first-pass answer, with clearer rationale and documented assumptions.
- Better deal and partner qualification through consistent criteria and structured comparison.
- Sharper positioning and sales plans tuned to specific segments and buyer needs.
- Improved forecasting discipline with scenarios that reflect market, product, and pipeline realities.
- Higher confidence in executive meetings through concise deliverables and defensible analysis.
- Time saved on drafting, summarizing, and formatting, so you can focus on negotiations and strategy.
- Reduced risk of blind spots by forcing consideration of alternatives, risks, and downside cases.
What's included in each track
Every track follows a consistent pattern so you can build repeatable habits:
- Clear outcomes and decision points to aim for.
- Prompt frameworks to gather context, test assumptions, and produce decision-grade outputs.
- Workflows to move from exploration to synthesis to stakeholder-ready artifacts.
- Quality checks and review steps to validate findings with legal, finance, product, and sales.
- Short exercises that strengthen your ability to adapt the prompts to your sector and data.
Ethics, risk, and governance
The course encourages careful use of AI in areas that touch customers, partners, and employees. You will learn to protect confidential information, flag and reduce bias, and document assumptions. Guidance is included for legal review of contract-related outputs and for keeping M&A screening within company policy. You will see how to keep an audit trail so decisions can be revisited with clarity.
Tooling and workflow fit
The prompts are tool-agnostic and can be used with common AI assistants. They integrate well with spreadsheets, CRMs, market research repositories, and document tools. You will learn how to export structured outputs (e.g., tables, criteria lists, scenarios) and reuse them across your stack.
Who benefits most
- VPs and Heads of Business Development who lead growth, partnerships, and corporate initiatives.
- Leaders responsible for new markets, product-market fit, and revenue strategy.
- Corporate development teams seeking a consistent way to screen and prioritize opportunities.
You do not need deep technical expertise. A basic grasp of your company's data, customer segments, and goals is enough to start. The course meets you where you are and scales with your needs.
Limitations and good practice
- AI can produce confident but incorrect statements. Always verify critical claims and numbers.
- Use AI for first drafts and structured thinking, then refine with domain expertise and real data.
- Contracts, financial models, and M&A assessments require expert review; treat AI outputs as supportive, not final.
- Maintain data hygiene: provide only the context needed, and use approved tools for sensitive work.
What you'll walk away with
- A complete set of prompt frameworks that turn BD goals into consistent, high-quality outputs.
- A repeatable process for analysis, strategy, and partner enablement that shortens time to decision.
- Templates for memos, slides, and summaries that help you communicate clearly with executives and cross-functional teams.
- Habits for quality control, bias checks, and governance that build trust in AI-assisted work.
If you lead Business Development and need faster, clearer ways to analyze options, shape strategy, and move deals forward, this course gives you a practical, end-to-end approach to apply AI with confidence and care.