Companies love efficiency improvement programs because they seem tangible. You can measure processes, identify waste, sharpen responsibilities, and put together packages of measures. All of this has its value. But in 2026, the operational maturity of many organizations will become apparent in another area: their ability to make planning assumptions explicit and review them on an ongoing basis.

At first glance, this may sound less spectacular. In fact, however, it is often the greater lever.

Inefficiency slows down a system. Incorrect planning assumptions lead a system. And if they are wrong, they shape priorities, capacities, investments, and control logic in the wrong direction.

The current environment exacerbates this problem. The World Economic Forum describes a situation of conflict and economic confrontation. The OECD and UNCTAD point to high political uncertainty and subdued expectations. For operational planning, this does not mean chaos, but a significantly shorter half-life for quiet certainties.

Nevertheless, many companies continue to work with implicit assumptions. They assume stable demand corridors, reliable delivery commitments, dependable release times, and sufficient bottleneck capacities. When these assumptions are overturned, the system slips into a mode of permanent special cases.

This leads to typical error patterns: more firefighting, more rescheduling, more escalation, more hidden buffers, more mistrust of the official plan. Management often interprets these symptoms as a lack of discipline or process weakness. In reality, the deeper cause is often a plan that still stems from an old model of reality.

This is exactly where the relevant standards help. ISO 9001 requires risk-based thinking. ISO 31000 combines risk management with better planning and better decisions. NIST defines “risk framing” via assumptions, restrictions, risk tolerances, and trade-offs. This perspective is highly relevant for companies: if you don’t know your assumptions, you can’t control their erosion.

The operational response should not be more activism, but more clarity.

First, every relevant master plan needs a short list of assumptions. This list contains the few premises on which operational success actually depends. Second, early indicators are needed to signal when these premises are being overturned. Third, review cycles must be linked to criticality rather than habit. Fourth, decision-making rights should already be clarified in the event of a disruption.

Suitable metrics for this are the hit rate of key assumptions, the response time to deviations, the proportion of unplanned priority changes, and stability at bottlenecks. These KPIs measure not only performance, but also the quality of operational control.

Of course, there are trade-offs here as well. Greater transparency initially generates more management effort. More buffers or diversification can increase costs in the short term. The IMF explicitly describes this conflict of objectives between resilience and efficiency. That is precisely why the real leadership task is not to avoid trade-offs, but to consciously shape them.

The HSC view on this is clear: stability first, improvement second. Those who only accelerate in a nervous system often create more precise stress. Those who first make assumptions visible and stabilize operational management create the conditions for real improvement.

2026 is therefore likely to be less the year of perfect planning than the year of verifiable planning.

And that is a difference that is worth more in practice than many strategy papers suggest.