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Insights on Decision-Making

Thoughts on analytical thinking, practical frameworks for business decisions, and observations about how managers can improve their decision-making process.

Problem definition framework illustration
15 January 2025

Why Problem Definition Matters More Than Solution Finding

Most managers rush to solutions before properly understanding the problem. This approach wastes time solving the wrong issue. Learn why defining the problem correctly is the most important step in any decision process.

Data collection and analysis workspace
08 January 2025

How to Gather Data Without Drowning in Information

More data doesn't mean better decisions. Managers need frameworks for determining what information actually matters and when they have enough to decide confidently. Practical approaches to efficient data collection.

Statistical analysis and correlation charts
22 December 2024

The Correlation-Causation Trap in Business Decisions

Just because two things happen together doesn't mean one causes the other. This common analytical error leads to poor business decisions. Understanding the difference changes how you interpret data and evaluate options.

Decision evaluation matrix and criteria
15 December 2024

Making Trade-Offs Explicit: The Power of Clear Criteria

Every decision involves trade-offs. Making your evaluation criteria explicit transforms vague preferences into defendable choices. Learn how structured evaluation improves decision quality and team alignment.

Manager communicating decision to team
01 December 2024

Why Good Decisions Fail: The Communication Gap

A well-reasoned decision becomes ineffective if your team doesn't understand or commit to it. Communication is not just sharing the conclusion—it's explaining the reasoning so people can execute effectively.

Argentine business environment and challenges
18 November 2024

Decision-Making Under Argentine Economic Volatility

Generic decision frameworks don't account for Argentina's unique business environment. How managers can adapt analytical methods to work effectively despite uncertainty, resource constraints, and rapid change.