Planning Is About Reducing Regret, Not Being Right

Updated: February 11, 2026 | 3 Minute Read

Most organizations talk about planning as if the goal is accuracy. Having better forecasts, fewer errors, and tighter numbers are all important markers to shoot for until you look at how decisions are actually made. 

The reality is that no one gets rewarded for being “right” about the future. They get rewarded for avoiding bad outcomes. When stockouts damage customers’ trust, excess inventory erodes margins, and capacity decisions are made without considering how they’ll be in practice, no amount of prediction can make up for the negative impacts of these decisions. 

Planning processes are often designed as if the future is knowable, just waiting to be discovered with enough data and effort, but the harsh truth is that it is simply not. Uncertainty is not a temporary condition but rather a permanent factor planners have and must always take into consideration every day. Markets shift. Demand surprises. Lead times stretch. Costs move. Even when forecasts improve, the world keeps changing faster than the models. 

This is why planning framed purely around accuracy is fragile. It creates a false sense of control and pushes teams toward precision where resilience matters more. 

Regret is a better lens: Mitigation over optimization 

A more useful way to think about planning is this:  

What outcomes would we regret most, and how do we reduce the likelihood of those outcomes? 

Regret-based planning doesn’t ask, “What do we think will happen?”, it asks, “If we are wrong, how bad is it?” 

That shift changes everything. Suddenly, planning becomes less about chasing the perfect number and more about designing decisions that hold up across a range of plausible futures. It encourages making explicit trade-offs over hiding behind optimistic assumptions. It also explains why some decisions deserve more attention than others. Not all errors are equal. Being slightly off on a low-margin, low-volume item is rarely catastrophic. Being wrong on a constrained, high-impact decision can be. 

Good planning allocates effort accordingly. 

Accuracy still matters, but not how you think 

None of this means accuracy is irrelevant. It does matter, but planners need to remember it’s just an input, not the objective. Accuracy improves signal quality and helps narrow uncertainty but it can never eliminate it altogether. When organizations treat accuracy as the goal, they often end up overcorrecting with constant overrides, short-term reactions and endless debates about whose number is “right.” Ironically, this behavior tends to increase volatility and make outcomes worse, not better.  

Planning that focuses on reducing regret over achieving perfection operates differently. It accepts that conditions are unstable and that forecasts will inevitably be wrong, giving planners the tools to design policies, buffers, and decision rights that make those errors survivable. That is what maturity looks like. 

None of this is a system problem. It’s a design problem.

The real question planning should answer 

At its best, planning answers a simple but uncomfortable question: 

“When things do not go as expected, will we be glad we made these choices?” 

If the answer is no, the issue is not forecast quality. It is decision design. 

That is the difference between planning to be right and planning to be robust.