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From Goals to Ground Truth: Why Execution Fails Before It Even Begins. A Leadership Opinion by Anjo De Heus, DBA, ceo of 360disruption.com

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From Goals to Ground Truth: Why Execution Fails Before It Even Begins Most initiatives don’t fail because of bad intentions. They fail because execution is never properly defined. Over the years, I’ve noticed a recurring pattern across startups, NGOs, governments, and even large corporates: people are very good at setting goals, reasonably good at talking strategy, and remarkably poor at executing with discipline. The problem usually starts right at the beginning. The Missing Chain A goal sounds good, but it isn’t tangible. “Improve healthcare access.” “Deploy diagnostics.” “Create impact.” None of these are executable. Execution only starts when goals are translated into a clear chain: Goals → Objectives → Strategy → Plan → Activities Miss one step, and you introduce ambiguity. Ambiguity kills accountability. Lack of accountability kills execution. Why “Strategy” Alone Is Not Enough Strategy is often treated as the end point — it isn’t. A strategy without a plan is just intent. A plan...

Why the Lowest Life Expectancy Countries Don’t Need More Pilots — They Need Execution — A decision-leadership article by Anjo De Heus

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  When we talk about life expectancy, we often treat it as a medical statistic. It isn’t. Life expectancy is one of the clearest indicators of whether  health systems, diagnostics, workforce, and access  are functioning — or failing — together. Today, the countries with the lowest life expectancy globally are overwhelmingly concentrated in parts of Africa. In some cases, average life expectancy barely crosses  50 years . This is not because people in these countries are biologically different. It is not because disease is “inevitable.” And it is certainly not because innovation doesn’t exist. It is because  systems don’t execute . The Real Drivers Behind Low Life Expectancy Across countries with the lowest life expectancy, the same structural issues repeat: Diseases are detected  too late Diagnostics are centralized, expensive, or inaccessible Health workers are undertrained or overstretched Preventive care is almost non-existent Data is fragmented or not c...