A Stanford LEAD course
The “Critical Analytical Thinking” course is a cornerstone of the Stanford Graduate School of Business LEAD Program, designed to empower leaders with the analytical tools, mindset leaders and the skills to analyze complex problems, make data-driven decisions, formulate arguments, and embrace diverse viewpoints.
Under the Professor Haim Mendelson, participants are exposed to a curriculum that not only challenges their cognitive capabilities but also prepares them for leadership in uncertain times through the application of first principles reasoning. Professor Haim Mendelson, a distinguished member of the Stanford faculty since 1989, brings a wealth of knowledge and experience to the course.
Arguments and Airbnb
We started by looking into Airbnb’s founding story, unpacking the concept of an argument in business contexts. We explored the art of constructing and deconstructing arguments and used the case of Airbnb’s operational viability. It trained us to identify premises, conclusions, and the logical structure underpinning compelling arguments. Reflecting on Airbnb’s operational viability, I learned to balance complexity with clarity, focusing on supply and demand dynamics. Feedback on my assignment also highlighted the strength of my analytical approach, encouraging further development of diagrammatic representations to articulate arguments with precision.

- Key Learning: Crafting well-structured arguments, dissecting complex issues into comprehensible diagrams, and emphasizing the operational viability through logical reasoning.
Decision-Making with Google in China
Using the Google in China case study, this module delves into the complexities of ethical decision-making and the application of logical deduction in resolving business dilemmas. We analyzed Google’s ethical dilemma in China, enhancing decision-making through logical deduction. Drafting a memo to Google’s management, I learned the delicate balance between ethical commitments and strategic business objectives.

- Key Learning: The importance of aligning business decisions with core values, navigating complex ethical landscapes, and advocating for a transparent, collaborative decision-making process.
Data-Driven Decisions
We explored the role of data in making informed decisions, illustrated through case studies like Seven-Eleven Japan and discussions on cognitive biases and their impact on decision-making processes. A course reading also highlighted Jamie Dimon’s thoughts on using Data, Decision Making and Leadership which is summarised below:
Effective management requires rigorous discipline, data analysis, and a focus on facts. It involves enforcing good decision-making processes, examining raw data, and considering all relevant factors in analysis. Managers must understand when analysis is necessary and when it impedes change. They should deal with reality by considering both certainty and uncertainty, and avoid oversimplifying complex situations. By adhering to these principles, organizations can foster innovation, adaptability, and long-term success.

- Key Learning: The criticality of rigorous discipline, factual data analysis, and the balance between analysis and action in effective management.
Experimentation
The focus shifted to experimentation as a method for testing hypotheses. We examined Amazon.com and TaskRabbit, understanding the role of A/B testing in innovating and refining business models. It reinforced the value of a structured, five-step process for conducting experiments to inform business strategies effectively.
Key Learning: Designing and conducting experiments to validate business innovations and the significance of A/B testing in today’s digital landscape.

Evaluating Data and Evidence
We tackled common pitfalls in data interpretation, such as confusing correlation with causation. Through real-world examples and discussions, we honed our skills in critically evaluating evidence, mindful of biases that might skew our understanding and decision-making processes. We looked at differentiating between correlation and causation, and the pitfalls in interpreting data.
- Key Learning: Identifying and mitigating cognitive biases, and understanding the challenges in evaluating data and evidence for sound decision-making.
Analogies
The use and misuse of analogies in business strategy are explored, with a focus on understanding when analogical reasoning can be a powerful tool and when it can lead to flawed conclusions. We applied the use of analogies in business reasoning, with a case study on Circuit City’s venture into used car retailing.
- Key Learning: The power and peril of analogical reasoning, emphasizing the necessity of discerning critical differences between analogous situations.
The CAT Debate – The course culminates in an open debate which is an antidote to groupthink and its risks, fostering an environment where diverse opinions are valued, and the best ideas emerge through constructive confrontation, serving as a practical application of the course’s teachings.
- Focus: Encouraging open debate as a means to enhance decision-making, challenge groupthink, and foster a meritocracy of ideas.
- Key Learning: The value of open, critical debate in promoting transparency, confronting constructive disagreements, and unlocking the collective wisdom of diverse viewpoints.
Key Takeaways:
- Mastery of critical analytical thinking skills for navigating complex business environments.
- Enhanced ability to formulate and communicate well-reasoned arguments.
- Deepened understanding of data-driven decision-making and the scientific approach to business experimentation.
- Exposure to real-world case studies fostering practical application of theoretical concepts.
The “Critical Analytical Thinking” course is an invaluable asset for current and aspiring leaders aiming to refine their analytical prowess and decision-making capabilities. By integrating rigorous academic content with practical business insights, the course prepares participants to tackle the multifaceted challenges of today’s dynamic business landscape.





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