Why do so many Agile transformations fail?
It's not Agile. It's how you're understanding it.
Why do so many Agile transformations fail?
It's not Agile. It's how you're understanding it.
I've seen companies obsessed with doing it "right": perfect dailies, measured sprints, flawless boards…
And yet, decisions are still slow, political, and disconnected from value.
That's not agility. It's optimized bureaucracy.
We keep applying an old logic to new problems: — Adam Smith divided the work — Frederick Taylor turned it into a system — Henry Ford scaled it
And now we want to be agile… without questioning that foundation.
Result: Fordism with sticky notes.
A lot of process. Little thinking.
Here is the difference that makes all the difference:
- Technical management: executing the framework well
- Expert management: questioning whether the framework makes sense
Most organizations stay at the first one. Because the second requires judgement, conflict, and taking on risk.
And this shows up very clearly in one pattern: — teams that deliver more… — but contribute less value.
And no, AI is not going to fix this.
Because the problem isn't a lack of answers. It's the difficulty of asking good questions in uncertain contexts.
If your team measures velocity but doesn't improve decisions, you're not being agile.
You're covering up inefficiency.
Real agility begins when you stop asking: "Are we doing Scrum well?"
and start asking yourself: "Does what we're doing make sense?"
That shift is uncomfortable. That's why almost nobody does it.
Is your organization executing Agile… or actually thinking?
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Juan Tatay Galvany ★
18 May 2026 17:20I love it
Result: Fordism with sticky notes.
A lot of process. Little thinking.
Here's the difference that makes all the difference:
Technical management: executing the framework well
Expert management: questioning whether the framework makes sense
Most organizations stop at the first one. Because the second requires judgement, conflict, and taking on risk.
And this shows up very clearly in one pattern: — teams that deliver more… — but contribute less value.
And no, AI is not going to fix this.
Because the problem isn't a lack of answers. It's the difficulty of asking good questions in uncertain contexts.
me encanta
Resultado: fordismo con post-its.
Mucho proceso. Poco pensamiento.
Aquí está la diferencia que marca todo:
Gestión técnica: ejecutar bien el framework
Gestión experta: cuestionar si el framework tiene sentido
La mayoría de organizaciones se quedan en la primera. Porque la segunda exige criterio, conflicto y asumir riesgo.
Y esto se ve muy claro en un patrón: — equipos que entregan más… — pero aportan menos valor.
Y no, esto no lo va a arreglar la IA.
Porque el problema no es la falta de respuestas. Es la dificultad de hacerse buenas preguntas en contextos inciertos.
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