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Test the thinking behind a strategic direction or transformation programme against independent stakeholder and market evidence, before commitment hardens into momentum.
This guide explains how to run pre-decision stakeholder research before a major strategic, capital, or reputational commitment. After reading, you will know what to test, whom to speak to, how to sequence the work, and how to feed findings into the actual decision.
This guide sets out how boards in financial services can raise the quality of their most consequential decisions, from paper design to dissent management. After reading, you will know what to change in your board process, what to demand from executives, and where good boards consistently outperform mediocre ones.
This guide explains how to identify, test, and govern the assumptions embedded in strategic plans, the source of most strategic failure in financial services. After reading, you will know how to surface hidden assumptions, rank them by fragility, and build the monitoring discipline that keeps a plan honest as conditions change.
This guide explains what senior stakeholders (investors, regulators, customers, employees, partners) are typically thinking and weighing in the run-up to a major corporate decision, and how to surface those views before you commit. After reading, you will know how to read the room accurately, test your assumptions, and avoid the predictable failures of imagined consensus.
This guide sets out the specific blind spots that distort major decisions at the top of financial services firms, and how senior leaders can surface them before they cause damage. After reading, you will have a practical method for pressure-testing your own reasoning and your team's before capital, reputation, or regulatory standing is committed.
A practical guide for senior financial services leaders on stress-testing the assumptions underneath a strategic decision before capital, reputation, or regulatory standing is on the line. Readers will finish with a working method for surfacing hidden beliefs, designing cheap tests, and knowing when the evidence is strong enough to commit.