How to effectively learn AI Prompting, with the 'AI for Strategy Managers (Prompt Course)'?

Start Here: Build an AI-Ready Strategy Workflow in Weeks

AI for Strategy Managers (Prompt Course) gives strategy leaders and analysts a practical, end-to-end way to fold AI into daily planning, reviews, and decision cycles. The course shows how to connect market signals, competitive insight, goals, financials, risk, product direction, diversification, talent, digital change, sustainability, scenarios, and customer segments into one coherent workflow. The result is faster research, clearer synthesis, repeatable outputs, and better handoffs across teams.

What you will learn

• Set up a repeatable AI workflow that supports annual plans, quarterly reviews, and ad-hoc strategic questions.
• Turn messy inputs into briefings, comparisons, and decision notes with traceable assumptions.
• Structure prompts for accuracy, reuse, and consistency across modules.
• Choose relevant data, frame constraints, and guide outputs to match executive expectations.
• Carry insights forward so earlier findings inform later decisions without rework.
• Spot bias, uncertainty, and data gaps; add verification and guardrails.
• Collaborate with finance, product, HR, sustainability, and marketing through shared formats and checklists.
• Communicate with clarity: concise narratives, comparison views, and action-oriented summaries.
• Maintain governance: privacy, compliance, version control, and audit trails.

Course structure and included modules

The course is organized into connected modules that mirror a real strategy cycle-from market discovery to decisions, execution support, and review. Each module builds on the last, while remaining usable on its own.

• Market Analysis: Compile market signals, drivers, segments, and customer needs into structured insights that set context for the rest of the work.
• Competitor Benchmarking: Compare offerings, pricing, channels, and moves to spot gaps and opportunities.
• SWOT Analysis: Bring together strengths, weaknesses, opportunities, and threats with clear links to evidence.
• Goal Setting: Translate insights into measurable objectives, priorities, and success metrics.
• Financial Forecasting: Build assumptions, scenarios, and sensitivity checks that connect goals to revenue, cost, and cash outcomes.
• Stakeholder Communication: Produce memos, briefs, and Q&A packs that keep executives, teams, and partners aligned.
• Risk Assessment: Identify risks, estimate likelihood and impact, and plan mitigations with clear owners and timelines.
• Product Positioning: Define value propositions, proof points, and messaging themes based on segment needs and competitor context.
• Diversification Strategies: Assess adjacent opportunities, entry options (build, buy, partner), and criteria for go/hold decisions.
• Talent Management Strategy: Map critical skills, workforce plans, incentives, and change-readiness for execution.
• Digital Transformation: Prioritize processes, technology choices, and rollout plans to support the strategy.
• Sustainability and CSR Strategy: Identify material topics, set KPIs, and outline initiatives with reporting considerations.
• Scenario Planning: Frame alternative futures, leading indicators, and triggers, then link them to risk and finance.
• Customer Segmentation: Define segments, ICPs, and activation tactics, and connect them to positioning and goals.

How the prompts work together as a system

Every module uses a shared context package so information flows from one step to the next without retyping or guesswork. Outputs follow consistent sections and labels, making it simple to compare, merge, and revisit work later. The system is built for:

• Reusability: Findings from market and competitor work feed directly into SWOT, goal setting, and positioning.
• Cross-links: Scenarios inform forecasting and risk plans; segmentation guides positioning and revenue targets.
• Consistency checks: Prompts flag contradictions (for example, goals that do not match forecast capacity) and suggest clarifications.
• Traceability: Assumptions are captured in the same way across modules so decisions can be reviewed and updated quickly.
• Communication: The communication module packages outcomes from all modules into concise briefs for different audiences.

Effective use guidelines

• Start with the decision question: Specify the decision, audience, time horizon, and constraints before you run any module.
• Provide the best inputs you can: Share internal data, vetted public sources, and previous plans. If data is sensitive, redact or use synthetic substitutes.
• Set structure upfront: Ask for clear sections, labeled assumptions, and sources to reduce rework.
• Iterate deliberately: Use short cycles-review, refine, and add missing context rather than trying to do everything at once.
• Validate claims: Check figures and citations, run quick sense checks, and compare results to alternative sources.
• Capture versions: Keep a change log so you can trace decisions and revert if needed.
• Mind privacy and compliance: Use approved data flows, apply access controls, and avoid exposing confidential details.
• Agree on quality criteria: Define acceptance standards (clarity, completeness, evidence) before finalizing outputs.
• Promote team adoption: Share templates and naming conventions so teammates produce comparable deliverables.

Value for strategy teams

• Speed: Compress research and synthesis from weeks to days while keeping quality checks in place.
• Consistency: Produce repeatable outputs with the same structure across markets, products, and quarters.
• Coverage: Explore more options through scenarios and sensitivity checks, then zero in on viable choices.
• Clarity: Improve executive conversations with crisp briefs, clear assumptions, and concrete next steps.
• Collaboration: Finance, product, HR, marketing, and sustainability teams can work from the same playbook.
• Accountability: Decisions are traceable to sources and assumptions, aiding compliance and audits.

Honest view: strengths and limits

AI helps teams synthesize large volumes of information, keep a steady structure, and produce drafts ready for expert review. That said, accuracy depends on data quality and clarity of instructions. Forecasts are estimates, not guarantees. Some content may be biased or incomplete and requires human judgment. The course includes guidance on source quality, verification steps, bias checks, and responsible use so teams gain benefits while staying within policy and legal guardrails.

Learning experience and pacing

The course is self-paced and modular. Each topic includes clear learning goals, process guidance, and practical checklists. You can take modules independently or follow the full sequence for an end-to-end workflow. Quick-start notes help you apply the material to current planning cycles, while deeper sections support bigger projects such as new market entry or a multi-year plan update.

How this course helps different roles

• Strategy managers: Orchestrate the complete analysis-to-decision pipeline with reusable templates.
• Analysts: Produce consistent research, comparisons, and summaries with clear sourcing and assumptions.
• Finance partners: Link scenarios and goals to realistic forecasts and risk ranges.
• Product and marketing leaders: Connect segmentation and positioning to plans and performance metrics.
• People leaders: Map skills, capacity, and change-readiness to strategic priorities.
• ESG and CSR leads: Tie material topics and initiatives into goals, risks, and reporting cycles.

Data and tools

The methods work with common AI chat tools and standard office software. The course highlights how to use internal and public data responsibly, how to sanitize inputs, and how to keep a clear audit trail. No specialized engineering is required; the focus is on practical, business-ready workflows.

After completing this course

By the end, you will have a reusable strategy playbook, a set of connected modules that reduce cycle time, and a consistent way to brief stakeholders. You will be ready to apply the workflow to market reviews, annual planning, major bets, and portfolio decisions, with clear links from assumptions to actions.

Ready to begin?

Start with the Market Analysis module to build your baseline, or jump to the area that matches your immediate need. Each module includes clear steps, reuse guidance, and checks to keep quality high. Begin now and build momentum one module at a time.