{"id":7578,"date":"2026-01-22T08:00:00","date_gmt":"2026-01-22T07:00:00","guid":{"rendered":"https:\/\/www.se-trends.de\/?p=7578"},"modified":"2026-01-20T15:39:06","modified_gmt":"2026-01-20T14:39:06","slug":"why-efficiency-gains-hardly-accelerate-development","status":"publish","type":"post","link":"https:\/\/www.se-trends.de\/en\/warum-effizienzsteigerungen-die-entwicklung-kaum-beschleunigen\/","title":{"rendered":"Why efficiency gains hardly accelerate development"},"content":{"rendered":"

Traditional product development has a problem: competitors appear seemingly out of nowhere and launch products on the market that are more innovative, available more quickly and often drastically cheaper. The reflexive impulse is then: we must more efficient<\/strong> become. In other words, better tools, leaner processes, more automation in the workplace, more capacity utilization. And yet something frustrating is happening in many organizations: The perceived speed of development stubbornly remains the same or even decreases.<\/p>\n\n\n\n

This is usually not a problem of poor implementation. It is a Paradigm problem<\/strong>. Read on to understand the paradox.<\/p>\n\n\n\n\n\n\n\n

Wrong question<\/h2>\n\n\n\n

If you look at it from the perspective of classic systems engineering thought patterns, it quickly becomes clear why. Systems engineering does not first ask: How do I optimize a step? It asks: What is the system, what is its purpose, and what is the bottleneck that prevents the Flow<\/a> determined?<\/strong> In a technical system, you wouldn't buy the fastest pump if the pipe behind it is too narrow. This is precisely the mistake many teams make: they increase local efficiency without considering the system boundaries, interfaces and feedback in the overall process.<\/p>\n\n\n\n

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Local optimization is no substitute for system optimization. What's more, it can destabilize the system. <\/p>\n<\/blockquote>\n\n\n\n

When individual teams increase their throughput rate, the amount of work that arrives at the next interfaces typically increases. If the capacity, clarification capability or decision-making bandwidth there does not grow with it, this results in Queues<\/strong>. But queues are not just delays. They are also a loss of information, context change, rework and ultimately a quality risk. And suddenly you have more efficient work steps, but a slower overall system.<\/p>\n\n\n\n

This is the core: product speed is not a sum of many small efficiencies. It is a property of the overall system. And overall systems are dominated by their bottleneck, not by their best-optimized subcomponent.<\/p>\n\n\n\n

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The 175 flow principles: Why product development is often slower than necessary<\/a><\/blockquote>