Understand what management consulting involves and the role of consultants in solving business problems (problem-solving, advisory, implementation support)

See what defines a consulting engagement as a project – its scope, timeline, phases, and deliverables – and how it differs from routine operational work.

Get introduced to our case study client “Huntsman,” including background information about their business and the challenge they face.

Important notice about the case study: understand any confidentiality aspects or fictionalization used, clarifying that Huntsman is a realistic but hypothetical scenario.

Overview the typical phases of a consulting project (from initial diagnosis to final recommendations) and the purpose of each phase.

Learn about additional or optional phases sometimes seen in consulting (e.g. pilot implementation, post-project audit) and when they might be included.

Learn how all the pieces come together in a consulting project – team composition, workstreams, client collaboration – to deliver results in a structured way.

Discover techniques for breaking a broad problem or “study” into manageable workstreams and analyses, ensuring comprehensive and logical coverage.

Deep-dive into Phase 1 of the consulting approach – techniques to clearly define the client’s real problem (not just symptoms), set project scope, and agree on the key question.

See how the consulting team works with the Huntsman client to formulate the central question that the project must answer (focusing the problem definition).

In this lecture, you will learn how to use AI to challenge and refine a business problem before jumping into analysis or execution.

Using the LAB case as inspiration, this tool shows you how to move beyond the client’s stated request and identify the real strategic question underneath. Instead of simply accepting the problem as written, the prompt helps you separate stated facts, assumptions, constraints, hidden risks, alternative explanations, and better decision questions.

This is especially useful for consultants, managers, project leads, strategy teams, business analysts, and anyone who receives vague, complex, or politically loaded business requests and needs to make sure the team is solving the right problem before building a workplan.

In this lecture, you will learn how to use AI to prevent scope creep before a project becomes too broad, too deep, or too unfocused.

Inspired by the consulting approach to scope control, ScopeGuard AI helps you create a tight problem statement, define scope boundaries, clarify decision makers, set success criteria, identify the right sub-issues, and decide which analyses should be done top-down versus bottom-up.

This is especially useful for consultants, managers, project leads, analysts, PMO teams, and business professionals who need to keep a project focused, avoid unnecessary analysis, and protect the team from solving issues that do not directly support the main decision.

Learn a framework for diagnosing client needs across four dimensions (e.g. financial, operational, customer, competitive) and two critical questions to pinpoint what the client truly requires.

Learn how to prepare for and conduct focused interviews with client stakeholders to gather qualitative insights, and why interviews are key to understanding the problem context.

Learn how to prepare effectively for a stakeholder interview: researching the interviewee, setting objectives, and drafting questions to ensure a productive discussion.

Master best practices for conducting the interview itself: building rapport, asking open-ended questions, listening actively, and probing for deeper insight.

Learn how to synthesize and document the information from interviews and share the findings with your team (and potentially the client) in a purposeful way.

In this lecture, you will learn how to use AI to build and validate a final expert interview list before starting the interview phase.

Interview Sign-Off AI helps you connect your issue tree, hypotheses, evidence gaps, and planned analyses to the right interview candidates. Instead of scheduling interviews randomly, this tool identifies who should be interviewed, why each interview matters, what knowledge gap each person or organisation can fill, whether the interview should be conducted by phone, video, email, or site visit, and whether the overall list is strong enough for manager or partner sign-off.

This is especially useful for consultants, managers, analysts, business development teams, strategy teams, PMO professionals, and project leads who need to source expert knowledge quickly while making sure every interview directly supports the project’s decision logic.

Follow the Huntsman case as the team delivers some preliminary research or “early findings” to the client, and learn what level of detail and format is expected at this stage.

See how consultants craft a project proposal for the client (Huntsman): defining the proposed scope, approach, team, timeline, and fees to secure buy-in for the project.

Learn how to iterate on and improve a consulting proposal by incorporating client feedback or new information – ensuring the final proposal is compelling and aligned with client needs.

Understand how the Huntsman project team outlines the “logic” of the project – the overall approach, hypothesis tree or issue tree, and workplan structure that will be used to tackle the problem.

Review a sample consulting proposal document (or key slides) to see a concrete example of how to present scope, methodology, team qualifications, and value proposition to a client.

In this lecture, you will learn how to use AI to analyse a real RFP or project brief before writing a proposal or execution plan. Instead of simply summarising the document, the tool extracts the client’s objective, required deliverables, evaluation criteria, timelines, workstreams, risks, missing information, and recommended response structure.

You will practise turning an unstructured business request into a clear proposal blueprint, including a bid/no-bid view, stakeholder questions, delivery workplan, and executive-ready next steps. This is especially useful for consultants, project managers, business development teams, transformation leaders, and anyone who needs to respond quickly and professionally to complex business requests.

Deep-dive into Phase 2 – organizing the problem into a logical structure (such as issue trees) that is MECE (Mutually Exclusive, Collectively Exhaustive) to ensure no aspect is overlooked.

Learn how to match common business issues (profit decline, market entry, operations inefficiency, etc.) with appropriate analytical frameworks or approaches that consultants use to solve them.

In this lecture, you will learn how to use AI to turn a complex business problem into a simple executive-level issue map.

Inspired by the CEO Conversation Process, this tool helps you avoid overly complex frameworks and instead structure the problem the way you would explain it to a CEO. You will learn how to identify the main decision, list the essential questions, cluster those questions into a clear decision framework, and convert them into practical analysis modules.

This is especially useful for consultants, managers, strategy teams, business analysts, and project leads who need to simplify messy problems, prepare executive discussions, structure consulting studies, or align teams before building a detailed workplan.

Watch how the team and client break down Huntsman’s overarching problem into a structured set of smaller issues (creating an issue tree or similar) in a real-case context.

Examine the completed issue tree/problem structure for the Huntsman case, seeing the hierarchy of issues the team will investigate to address the key question.

Learn how the Huntsman case team decides which parts of the issue tree to prioritize (based on impact, data availability, etc.), an important step to focus their analysis effectively.

Deep-dive into Phase 3 – how consultants develop hypotheses about the causes of the problem or the best solutions, and use these hypotheses to drive targeted analysis.

Learn methods for formulating strong, testable hypotheses (e.g. using initial data trends, industry experience, frameworks) and how to phrase hypotheses clearly to guide analysis.

See how the team in the Huntsman case brainstorms and documents specific hypotheses about what might be driving the client’s issues, setting up focused analyses for each hypothesis.

In this lecture, you will learn how to use AI to build an early analysis storyboard before completing the full analysis.

Storyboard First AI helps you connect the objective function, issue tree, hypotheses, planned exhibits, and expected insights into a clear storyline that a manager or partner can review early. Instead of waiting until all the analysis is complete, this tool helps you test whether the planned work is likely to produce meaningful findings, identify weak or generic insights, tighten the message of each exhibit, and decide which analyses should be continued, changed, or stopped.

This is especially useful for consultants, managers, analysts, strategy teams, project leads, and business professionals who need to make sure their analysis is not just precise, but meaningful, decision-oriented, and capable of supporting a compelling business story.

Learn how consultants use simple tools like tally sheets or structured templates to collect and summarize data during analysis (illustrated by how the Huntsman team tracks data to test their hypotheses).

Get a tutorial on issue trees (also known as logic trees): what they are, how to draw them, and how they visually map out the relationship between the overall problem and sub-issues.

Walk through the specific issue tree created for Huntsman’s problem, understanding each branch of the tree and how it relates to parts of the client’s business.

Deep-dive into Phase 4 – translating the structured issues and hypotheses into a concrete workplan. Learn the components of a workplan (work streams, tasks, timelines, responsibilities) and how to build one.

See how the Huntsman project team turns the workplan into a timeline (Gantt chart or schedule), laying out when each analysis work stream will happen and key milestones for the case.

Learn step-by-step how to develop a consulting project workplan: defining work streams, sequencing tasks, assigning team members, and setting deadlines to ensure the project stays on track.

Review the actual workplan for the Huntsman case, seeing how tasks are organized by phase, who is responsible for what, and how it aligns with the overall project timeline.

Deep-dive into Phase 5 – executing the analyses needed to test each hypothesis. Learn about managing the analysis process, data collection, and keeping analysis on hypothesis without “boiling the ocean.”

Analyze the first hypothesis (“Should the client cut prices to solve the problem?”). See how the team examines pricing data, customer response, and competitor pricing to evaluate if price reduction is a viable strategy.

In this lecture, you will learn how to use AI to break revenue into clear drivers and management levers.

Revenue Lever AI helps you move beyond simple revenue forecasts by identifying each revenue source, separating volume drivers from pricing drivers, mapping the assumptions behind each driver, and clarifying which levers management can influence. Instead of saying “revenue will grow by 10%,” this tool helps you explain exactly what must happen for revenue to grow.

This is especially useful for consultants, managers, analysts, finance teams, strategy teams, product leaders, sales teams, and business development professionals who need to build revenue models, business cases, growth plans, pricing strategies, or market-entry forecasts.

Consider the hypothesis of expanding into a new region. Learn what data and factors the team analyzes (market size, competitive presence, entry costs) to determine if geographic expansion would drive growth.

In this lecture, you will learn how to use AI to analyse demand-side market data and identify the customer segments where real demand is most likely to exist.

Demand Lens AI helps you compare demand by industry, geography, customer size, growth rate, employment contribution, market concentration, and service requirements. Instead of assuming that every growing sector is attractive, the tool helps you identify which segments are large enough, growing enough, impactful enough, and practical enough to serve.

This is especially useful for consultants, managers, analysts, strategy teams, policy teams, financial institutions, SME support organisations, and business development teams who need to decide which customer segments, industries, or regions should receive priority focus.

In this lecture, you will learn how to use AI to build a structured option set for entering a new market.

Option Pathway AI helps you move beyond a simple yes-or-no decision by mapping the full range of strategic choices, including direct entry, partnership, acquisition, franchise models, product innovation, improving existing channels, monitoring, remaining as-is, or exiting. The tool helps you define the decision gates, investment requirements, risks, capabilities, and evidence needed for each path before choosing a recommendation.

This is especially useful for consultants, managers, strategy teams, business development teams, corporate development teams, product leaders, and market-entry teams who need to compare strategic options before committing resources.

In this lecture, you will learn how to use AI to evaluate which channel is best suited to reach and serve a target customer segment.

Channel Fit AI helps you compare delivery channels by impact, outreach, cost efficiency, customer fit, product fit, operational requirements, risk, and sustainability. Instead of choosing a channel only because it has reach, this tool helps you assess whether the channel can deliver the right product to the right customers at the right cost, while supporting the organisation’s strategic objective.

This is especially useful for consultants, managers, strategy teams, sales teams, product teams, financial institutions, public-sector teams, and business development professionals who need to decide whether to use direct sales, partners, intermediaries, digital channels, distributors, local organisations, or hybrid delivery models.

Explore the hypothesis of diversifying into a new product or business line. See how the consultants assess this option by analyzing industry attractiveness, the company’s core capabilities, and potential risks.

Evaluate the hypothesis that improving internal cost control or efficiency could address the client’s issue. Learn about analyzing cost structures, identifying inefficiencies, and estimating savings from cost initiatives.

In this lecture, you will learn how to use AI to break costs into clear drivers and management levers.

Cost Lever AI helps you move beyond simple cost forecasts by separating CAPEX from OPEX, identifying the activity drivers behind staffing, remuneration, workload, bad debts, support costs, and other operating expenses. Instead of saying “costs will grow by 8%,” this tool helps you explain what operational activities create cost, which assumptions matter most, and which cost levers management can influence.

This is especially useful for consultants, managers, analysts, finance teams, strategy teams, operations teams, project leads, and business professionals who need to build cost models, business cases, operating plans, market-entry forecasts, or performance improvement analyses.

In this lecture, you will learn how to use AI to turn hypotheses and analysis questions into a practical data request plan.

Instead of starting the analysis with vague tasks such as “do market research” or “build the financial model,” Evidence Map AI helps you identify the exact data required for each analysis, including the chart or test to be created, the x-axis and y-axis variables, data sources, owners, deadlines, collection difficulty, and fallback options if the data is unavailable.

This is especially useful for consultants, managers, analysts, project leads, strategy teams, and PMO professionals who need to move from issue trees and hypotheses into real analysis execution without wasting time chasing unclear, incomplete, or unnecessary data.

Deep-dive into Phase 6 – how consultants synthesize their analysis into key insights and recommendations, and develop the final presentation or report to communicate these findings to the client.

See an example of how a complex analysis can be distilled into a clear, powerful insight. Learn what a good synthesis looks like – one that directly answers the key question and resonates with the client’s priorities.

Follow the Huntsman case team as they pull together their findings from various analyses and craft a concise story. See how they derive actionable insights from the data to form their recommendations.

In this lecture, you will learn how to use AI to finalize the overall storyboard for a client presentation.

Client Storyboard AI helps you turn a collection of analysis slides, interview findings, options, recommendations, and workstream outputs into a client-ready executive storyline. Instead of arranging slides by workstream, the tool helps you design the executive summary, select the right sections, order the story around the client’s priorities, identify missing slides, flag weak logic, and create clear revision comments for the team.

This is especially useful for consultants, managers, analysts, project leads, strategy teams, PMO teams, and business professionals who need to prepare client updates, executive presentations, board decks, steering committee reviews, or final recommendation decks.

In this lecture, you will learn how to use AI to decide which slides belong in the main presentation, which slides should remain as backup, and which slides should be removed.

Slide Triage AI helps you reduce a large analysis deck into the minimum number of high-impact slides needed to tell the client story. Instead of showing every piece of analysis to prove how much work was done, the tool tests each slide against the main message, client decision, insight value, evidence need, and likely client questions.

This is especially useful for consultants, managers, analysts, project leads, strategy teams, PMO teams, and business professionals who need to turn large workstream decks into concise executive presentations.

In this lecture, you will learn why the person delivering a senior-level consulting presentation matters as much as the recommendation itself. We will explore why final recommendations are usually presented by the consulting director rather than the CEO, especially when the findings indirectly assess the CEO’s leadership, decisions, or company performance.

You will also understand why credibility, independence, and perception are critical in board-level presentations. By the end of this lecture, you will know how to think about presentation ownership, why the CEO and consulting director should usually not present together, and how the consulting firm protects the integrity of the recommendation.

Define what truly counts as an “insight” in consulting. Learn the difference between just reporting facts and providing insights (which combine facts with interpretation and relevance to the client’s question).

In this lecture, you will learn how to use AI to turn findings and recommendations into clear client implications.

Implication Mapper AI helps you move beyond simply stating what the client should do. The tool translates each finding or recommendation into what it actually means for the client’s strategy, implementation plan, resources, stakeholders, risks, operating model, and next decisions. It helps you write implications in concise, direct language so the client can understand not only the recommendation, but also how manageable the change will be.

This is especially useful for consultants, managers, analysts, project leads, strategy teams, PMO teams, and business professionals who need to present recommendations in a way that clients, executives, or internal stakeholders can actually accept and act on.

Learn the purpose of a consulting final report or presentation deck and its key components: executive summary, context, findings (with supporting data), recommendations, and next steps.

Review excerpts from sample consulting reports or slide decks to see how insights and recommendations are communicated. Understand formatting and language that make the report clear and credible.

Learn a step-by-step approach for tackling very broad or ambiguous problems: start with defining the objective, then develop an initial hypothesis, gather data, and iterate, ultimately planning out a “storyboard” of the solution narrative.

Recap the entire consulting problem-solving process (Phases 1–6) using the Huntsman case as an example. Highlight key takeaways and how each phase links to the next, solidifying your understanding of the consulting approach.

In this lecture, you will learn how to use AI to convert project learnings into a reusable improvement playbook.

Learning Loop AI helps you move beyond a simple lessons-learned summary by assessing what worked, what failed, what was only average, and what must change in the next project. The tool reviews project management, team capability, analysis quality, insight generation, communication, training, stakeholder management, and long-term impact, then turns the lessons into practical operating rules and actions.

This is especially useful for consultants, managers, project leads, PMO teams, analysts, team leaders, and business professionals who want to improve how future projects are staffed, managed, taught, reviewed, and delivered.

Discuss the often-misunderstood phase after the strategy: implementation. Understand what consultants typically do and don’t mean by “implementation,” and why true implementation (making the recommended changes happen) is critical.

Learn the distinction between formulating an operations strategy (designing improvements, recommending changes) and implementing those changes on the ground. See how consultants ensure strategies are executable.

Understand why traditional program or project management alone isn’t the same as full implementation. Learn how managing timelines and tasks (program management) differs from achieving behavioral change and results (implementation).

Clarify common misconceptions: implementation isn’t just training or handing off a plan. By clearing up what doesn’t count as true implementation, you’ll be able to focus on what does (making real changes stick).

Discover what consultants should do during implementation: working side-by-side with client teams, piloting changes, adjusting processes, building client capabilities, and ensuring recommendations actually deliver results.

Recognize the “human” factors (leadership, culture, incentives, change champions) that determine implementation success. Learn strategies for managing these human elements to achieve lasting change.

Learn why helping a client succeed is only part of a consultant’s job – the truly mature consultants also manage follow-on opportunities ethically. See how handling subsequent sales (extensions, new projects) is done in a client-first way that tests your long-term credibility.

This lecture summarises the most important takeaways from the study. You will learn why strategy consulting is not reserved for people with elite degrees, finance backgrounds, or prior consulting experience. What matters more is the ability to follow a structured process, think in hypotheses, test ideas carefully, and interpret evidence with judgment.

The lecture also explains why important work motivates people only when they are allowed to contribute meaningfully, and why the safest recommendation is not always the right one. The central lesson is that great strategy comes from combining process, accountability, evidence, and courage.

In this section keynote, hear concluding insights that tie the entire structured problem-solving journey together – from correctly defining the problem to delivering impact through implementation. This talk will inspire you to take ownership, stay client-focused, and always connect analysis to tangible impact.

This lecture explains why the CEO is often the most important relationship for a management consultant. Unlike functional leaders, the CEO has the mandate to address any issue affecting the company’s health, performance, and future direction.

You will learn why selling strategy through a functional executive can be difficult, why trust and reputation matter more than analysis alone, and how consultants can gradually build credibility if they do not yet have CEO access. The key lesson is simple: trusted advisors must follow the company’s most important problem, not just the department where they already have a relationship.

In this lecture, you will learn how to distinguish ordinary business problems from the issues that truly matter to a CEO. We will explore why CEO-level issues are usually urgent, complex, important, uncertain, and tied to the company’s performance or future direction.

You will also learn how to test whether an issue belongs on the CEO’s agenda by asking whether it affects strategic priorities, requires cross-functional change, lacks an obvious solution, and ultimately sits under the CEO’s accountability. The goal is to help consultants focus on the few issues that genuinely keep CEOs up at night.

In this lecture, you will learn how to decide whether an issue is worthy of a CEO-level consulting study. We will cover how to assess volatility drivers, prioritise issues by business impact and manageability, and avoid forcing normal business problems onto the CEO’s agenda.

In this lecture, you will learn why identifying a CEO-level issue is not enough. For a study to move forward, the CEO must personally connect to the issue and see it as part of their leadership agenda.

We will explore how consultants assess the CEO’s ambitions, the motivations of the leadership team, the board’s likely reaction, the organisation’s capacity for change, and the cost of doing nothing. By the end of this lecture, you will understand how to connect a business problem to the CEO’s emotional motivation, political reality, and rational case for action.

In this lecture, you will learn how to design a strategy study around the issues that truly matter to a CEO. We will explore how to move from CEO agreement to hypothesis validation, focused analysis, options development, business case creation, and implementation planning.

You will also learn why a strong strategy study must combine rigorous analysis, executive alignment, a clear business case, and organisational mobilisation. By the end of this lecture, you will understand how to structure a CEO-level study that does not simply produce recommendations, but prepares the organisation to act.

Learn how consultants use hypotheses, storyboards, update meetings, business cases, and implementation logic to turn analysis into a clear executive message that senior leaders can understand, trust, and act on.

In this lecture, you will learn why a business case is essential in any CEO-level strategy study. A CEO does not only need ideas, findings, or recommendations — they need to understand the value created, investment required, resources needed, implementation feasibility, and whether the benefits are worth pursuing.

We will explore how a strong business case quantifies the discussion, prioritises the most significant opportunities, integrates the workstreams, guides implementation, and links the recommendation to financial impact. By the end of this lecture, you will understand why the business case is not just a spreadsheet, but a decision tool that helps the CEO move from strategy to measurable results.

Define “strategy” in clear, practical terms and understand how a solid strategy guides business success.

Explore the three fundamental ways companies achieve competitive advantage (cost leadership, differentiation, focus)ifm.eng.cam.ac.uk and see examples of each in action.

Learn to assess and critique how companies execute their chosen strategies using real-world industry examples.

Understand the “Profit from the Core” strategy concept and why doubling down on a core business can enhance profitability and growth.

Recognize the importance of having a clear corporate strategy and the risks of operating without one.

See a real-world example of how a company initiates its corporate strategy planning, illustrating the first steps of strategy development.

Learn the key steps and best practices for preparing a corporate strategic plan, from research and analysis to strategy formulation.

Examine an example format of a corporate strategy document or presentation to understand its structure and components.

Discover the typical contents of a corporate strategy deliverable (vision, strategic pillars, initiatives, etc.) and how to present them professionally.

Review a short case example of a failed or flawed corporate strategy, setting the stage to learn from common mistakes.

Identify frequent mistakes and challenges in corporate strategy development (and how to avoid them) based on industry experience.

Learn an end-to-end process for developing a comprehensive corporate strategy, from situational analysis to choosing strategic initiatives.

Understand how to establish a formal, repeatable strategic planning process within a company (e.g. annual strategy reviews, governance).

See how a real company institutionalized its strategic planning process, ensuring strategy development becomes a regular discipline.

Discover how to translate high-level strategic intent into actionable plans and initiatives across a business.

Follow an example of how a company took a declared strategic intent and implemented it in practice, bridging the gap between plan and action.

Get access to the complete collection of “Business Capsule” case examples for further reading, so you can study full scenarios and their outcomes.

Understand how to articulate what business a company is in (or could be in) by defining its mission, offerings, and scope in strategic terms.

Follow a structured three-step method to define a business or product-market focus, ensuring alignment with the company’s core strengths.

Learn to group companies within an industry into strategic clusters (by strategy or characteristics) and analyze competitive positioning among these groups.

Evaluate what factors make it difficult to enter or exit a given industry (e.g. capital needs, regulations, customer loyalty) and how those barriers affect profitability.

Grasp what market penetration curves are (typically S-curves of adoption) and why they are fundamental to understanding how quickly markets can grow or saturate.

Learn how to apply penetration curve concepts to real situations – for example, forecasting market growth, identifying inflection points, or benchmarking adoption rates.

Step through the process of constructing a penetration curve for a product or market yourself, using data to plot adoption over time.

Learn methods for identifying and analyzing market trends (technological, consumer behavior, regulatory, etc.) and predicting their impact on the industry.

Determine the current size of a market and its growth rate, and interpret what that means for business opportunities or strategic decisions.

In this lecture, you will learn how to use AI to turn geographic, sector, and business-size data into clear market priorities.

Growth Map AI helps you analyse where businesses are concentrated, which sectors are growing, which markets are shrinking, and where the headline story may be misleading. Instead of relying on broad market narratives, the tool compares business count, growth rate, sector mix, geography, and business size to identify the most attractive segments for strategy, investment, sales focus, policy support, or deeper analysis.

This is especially useful for consultants, managers, analysts, strategy teams, business development teams, policy teams, and market researchers who need to decide where to focus resources across regions, sectors, and customer segments.

Learn techniques for making strategic decisions under uncertainty (volatile markets, disruptive events) – such as scenario planning, flexibility, and real options thinking.

Understand the overall process of financial analysis, including gathering financial statements, calculating key metrics, and interpreting the results.

Learn the three critical questions that any thorough financial analysis should address (e.g. “How profitable is the company? How liquid/solvent is it? How efficiently is it using resources?”).

Learn how to calculate and interpret core financial ratios (profitability, liquidity, leverage, efficiency ratios) to evaluate a company’s performance.

Explore additional financial ratios and variations (e.g. EBITDA margins, operating cash flow ratios, etc.) to gain deeper insights beyond the basic metrics.

Break down a company’s cost structure (fixed vs. variable costs, cost of goods vs. SG&A, etc.) and identify major cost drivers and opportunities for cost improvement.

Use the DuPont framework to decompose Return on Equity (ROE) into its components (profit margin, asset turnover, leverage), revealing the drivers of shareholder returns.

Evaluate how effectively a company is using its capital by examining metrics like ROIC (Return on Invested Capital), ROE, and ROI, and understand what drives those returns.

In this lecture, you will learn how to use AI to conduct a top-down diagnostic of a company’s current financial performance.

Finance Signal AI helps you move beyond basic financial summaries by identifying the main drivers of growth, revenue mix, portfolio composition, declining business lines, non-core income sources, and early warning signals. Instead of building a detailed financial model immediately, the tool helps you find the few financial questions that matter most and decide where deeper analysis is required.

This is especially useful for consultants, managers, analysts, finance teams, strategy teams, and business professionals who need to quickly understand whether a company’s financial performance is healthy, sustainable, aligned with its strategy, and worth deeper investigation.

In this lecture, you will learn how to use AI to design the architecture of a business or financial model before building the spreadsheet.

Model Architecture AI helps you turn market assumptions, entry options, customer segments, product variables, funding sources, staffing needs, operating costs, capex, working capital, and revenue drivers into a logical model blueprint. Instead of starting with Excel rows, this tool helps you define the drivers, dependencies, assumptions, outputs, scenarios, and model tabs required for a 10-year business case.

This is especially useful for consultants, managers, analysts, finance teams, strategy teams, business development teams, and project leads who need to build financial models that are grounded in business logic rather than disconnected spreadsheet assumptions.

In this lecture, you will learn how to use AI to calculate and interpret a breakeven line for a business model, product, loan programme, subscription offer, service line, or market-entry case.

Break-Even Line AI helps you identify the point where revenue, premiums, fees, or contribution margin are just enough to cover costs, claims, losses, or operating expenses. Instead of only asking whether the business is profitable, the tool helps you understand the exact threshold: what price, fee, premium rate, volume, utilisation, claim rate, loss rate, or cost level must be achieved for the model to break even.

This is especially useful for consultants, managers, analysts, finance teams, product leaders, strategy teams, and business development professionals who need to test whether a business case is economically viable before scaling it.

Learn what operations strategy is and how to design an operations strategy that aligns with company philosophy, then execute it effectively.

Understand how a company’s internal capabilities (people, culture, processes) drive sustainable results, and why building these capabilities is critical for long-term impact.

Get introduced to McKinsey’s set of organizational frameworks (e.g. influence model, change management models) used to diagnose issues and drive organizational change.

Identify the key characteristics that distinguish high-performing organizations (clarity of vision, talent management, agility, etc.), based on research and consulting insights.

Learn the 7-S Framework (Strategy, Structure, Systems, Skills, Style, Staff, Shared values) and how aligning all seven elements leads to an effective organization.

Discover how successful companies align their vision and strategy with their organizational structure and talent, creating a “winning formula” for execution.

Learn about the concept of a “Change Board” or change readiness assessment, and how to evaluate an organization’s capability to undertake change initiatives.

Understand a framework for change management that covers three critical dimensions (e.g. process, people, and communication), ensuring change initiatives are holistic and effective.

Learn about six key elements that energize and drive successful change programs (such as leadership commitment, quick wins, communication, etc.), keeping the organization engaged.

Learn to perform a SWOT analysis for a business or project, identifying internal strengths/weaknesses and external opportunities/threatsmindtools.com, and how to use SWOT to inform strategy.

Use Porter’s Value Chain framework to break down a company’s activities and identify where value is added and costs are incurred, pinpointing sources of competitive advantage

In this lecture, you will learn how to use AI to identify gaps and opportunities across an industry value chain.

Value Chain Gap AI helps you map the key players, activities, capabilities, customer segments, channels, funding sources, intermediaries, and support services in a market. Instead of treating every organisation as a direct competitor, the tool shows where the value chain is crowded, where it is underserved, where partnerships may be required, and where your organisation may have the strongest right to play.

This is especially useful for consultants, managers, strategy teams, business development teams, product teams, policy teams, and market-entry teams who need to decide where to compete, where to partner, and which parts of the ecosystem should not be prioritised.

Learn the Balanced Scorecard approach to translate strategic goals into specific, balanced performance measures (financial, customer, internal process, learning & growth)

Understand the core cycle of business management (planning, organizing, leading, controlling) and how managers use this process to turn strategy into day-to-day execution.

Apply Kenichi Ohmae’s 3Cs strategic triangle framework to ensure your strategy considers your Company’s strengths, Customer needs, and Competitor offerings

Discover how to benchmark your organization’s performance against industry leaders or standards, and use the gaps identified to drive improvement

In this lecture, you will learn how to use AI to turn external benchmarking data into clear strategic priorities.

Benchmark-to-Action AI helps you move beyond simple rankings and compare performance across countries, markets, competitors, business units, customer segments, or operating models. The tool identifies where performance is strong, where it is weak, what gaps matter most, what structural factors may explain those gaps, and what actions should be prioritised.

This is especially useful for consultants, managers, analysts, strategy teams, policy teams, business development teams, and project leads who need to interpret benchmark data and convert it into practical recommendations rather than just reporting who ranks higher or lower.

Understand how to identify “best demonstrated practices” in your industry and adopt them in your organization to achieve superior results.

Learn about common organizational structures (functional, divisional, matrix, etc.) and how to select the structure that best fits a company’s strategy and enhances its performance.

Congratulations on reaching the midpoint! Recap what has been learned so far and enjoy a special bonus resource as a reward for your progress.

Understand the importance of supply chain performance metrics (like OTIF, inventory turns, fulfillment lead time) and how they drive strategic advantages in cost and service.

Learn the fundamental structure of a supply chain (suppliers, manufacturers, distributors, retailers, customers) and how goods, information, and funds flow through it.

Discover the three primary objectives that world-class supply chains strive for (e.g. cost efficiency, reliability, flexibility) and how they align with business strategy.

Differentiate between strategic, tactical, and operational level metrics in supply chain management and see how each level of measurement informs decisions at that level.

Get familiar with 23 essential Supply Chain Key Performance Indicators (KPIs) – from forecast accuracy and fill rate to days of inventory – and learn how improving these metrics can give a competitive edge.

Learn a structured approach to investigate supply chain problems: pinpoint where in the process a metric is underperforming and then dig into why it’s happening, identifying root causes.

Adopt three critical consulting mindsets: Burden of Proof (back every claim with evidence), Answer-First (start presentations with the answer or recommendation), and Client-First (always prioritize the client’s interests and value). These mindsets set top consultants apart in MBB firms.

Learn how to deliver high-quality work without falling into analysis paralysis. Top consultants know when to pursue perfection and when to be pragmatic due to time/budget. Develop judgment on making smart trade-offs that maintain quality while meeting deadlines.

Discover techniques consultants use to build trust quickly with client stakeholders (credibility, reliability, intimacy, low self-orientation) and how to navigate organizational politics diplomatically. You’ll learn about stakeholder mapping and finding internal champions.

Understand that leadership isn’t one-size-fits-all. Learn to adjust your leadership style based on the situation (directive in a crisis, coaching when developing a junior, etc.) and how to manage both your team’s and the client’s expectations throughout a project to avoid surprises.

Improve your ability to prioritize tasks and issues like a consultant. Learn to identify the “critical path” in project delivery (the sequence of dependent tasks that determine the total timeline) and ensure those priorities get resources and attention. This skill boosts efficiency and impact.

Explore the unwritten “code” that great consultants live by: respecting time (yours, the team’s, the client’s), building and safeguarding trust through ethics and transparency, and exercising sound judgment in decisions big and small. These principles will guide your daily behavior and long-term reputation.

Identify five fundamental pillars that drive success in a consulting career (for example: analytical excellence, communication, teamwork, entrepreneurship, and leadership). For each pillar, learn specific habits or practices to cultivate it in yourself.

Learn advanced communication tips used by consultants at McKinsey/BCG/Bain. Whether in emails, meetings, or presentations, you’ll learn to be clear (no jargon, direct language), structured (logical flow, signposting), and always composed and in control of the narrative, even under pressure.

In this final recap, revisit the key themes of Section 9: taking ownership of projects and personal development, actively seeking and using feedback to improve, and consistently practicing strategic thinking. Hear examples of how these traits manifest at top firms like McKinsey, Bain, and BCG, and how you can continue to develop them beyond this course.

Redefine “stress” not as purely negative, but as a response that can be harnessed. Learn about the new definition of stress that distinguishes helpful stress from harmful stress, and how simply viewing stress differently can improve your performance and well-being.

Learn the difference between eustress (positive, motivating stress) and distress (negative, harmful stress). Understand the Alignment Principle: stress is positive when your work is aligned with your values and goals, and negative when there’s misalignment. This will help you aim for the right kind of challenges.

Identify the red flags that indicate stress is becoming excessive (trouble sleeping, constant anxiety, burnout symptoms). By recognizing these warning signs in yourself and others, you can take action before a breakdown or health crisis occurs.

Learn five core strategies for managing stress in a healthy way: for example, 1) Physical (exercise, sleep, nutrition), 2) Mental (time management, prioritization), 3) Emotional (mindfulness, support networks), etc. Building these pillars will increase your resilience under pressure.

Assess your own vulnerability to stress. You’ll use a self-diagnostic tool or questionnaire to evaluate factors like your current workload, coping skills, and support system. The outcome will highlight areas where you’re strong and areas to fortify to handle stress better.

Identify your personal stress “triggers” – situations that reliably spike your stress (tight deadlines, conflict, public speaking, etc.). By mapping these out, you can prepare coping strategies for each trigger and reduce their power over you.