Decision-Making Speed: The Metric Local Government Is Missing

In short: local government measures cost and compliance obsessively, but almost never measures the thing actually driving both — how fast staff are able to make a decision. Fix the incentive around speed, and a lot of the rest follows.

This sits at the centre of a wider case for the sector — we've pulled the fuller argument together in one place.

Pressure is mounting on local government and the public sector generally — driven by a broad, growing consensus that the current model is underperforming. Policy directives dominate the headlines, but almost nobody is asking questions about the underlying engine. The strain across the sector isn't just a cost problem. It's a friction problem, driven by a perverse incentive in how performance gets measured and rewarded.

The real bottleneck

At the root of a beleaguered sector sits a bottleneck that gets almost no attention: decision-making speed. In many councils, staff face a very specific, rational incentive — being seen to follow the correct process protects you, being seen to move fast and occasionally get something wrong does not, even when the fast, judgement-based call would have served the community better. Day-to-day operations end up mired in defensive behaviour aimed at deflecting reputational risk. That behaviour is a symptom, not the cause — it's the predictable result of an incentive structure that rewards procedural correctness over outcomes, and it shows up as operational waste and, eventually, higher rates.

Why does this persist despite the very real cost pressure councils are under? First, the financial impact of this decision friction on operating expenditure is almost never measured — it stays invisible, aside from the odd look at staff cost trends. Second, the sector doesn't face market competition and has a guaranteed revenue base, which affords it a luxury most businesses don't have: excessive carefulness. Risk-averse policies function as institutional shields more than enablers of progress, because they protect the individual who follows them. That's the perverse incentive at work.

Having worked closely alongside local government professionals, I don't think this is a failure of intent — the sector is staffed by genuinely dedicated people. It's the result of conditioning that prizes institutional reputation over effectiveness, and that conditioning comes, again, from what actually gets measured.

Start by measuring speed

A deceptively simple starting point: start measuring decision-making speed directly, so it carries the same visible weight as procedural correctness currently does. Speed on its own isn't the whole answer, though — measuring it without a quality check just incentivises recklessness with better PR. In practice, you don't need to time-stamp every decision to see this: track staff hours against value delivered across your organisation (see Return on Effort), and the variation you see is largely decision-making speed showing up in the numbers, since the routine parts of any workflow take a fairly fixed amount of time regardless.

You can't manage what you don't measure. Until speed is valued alongside risk, rather than treated as an afterthought, reform in this sector will only ever scratch the surface.

The same underlying pattern shows up well beyond local government — see why hard-working private-sector teams get bogged down in exactly the same way.

Time is part of the decision, not separate from it

Leadership needs to challenge a flawed assumption: that more decision-making time means better decision quality. That fails on two counts. First, time itself is part of a decision's quality — a fast decision has real, tangible value to the community, and that value is part of what "good" means, not separate from it. Second, diminishing returns kick in fast once a decision drags on. Put together, excessive decision-making time tends to produce worse outcomes, not better ones.

Speed isn't the same as processing speed

It's worth being precise here: decision-making speed is not the same as processing speed. AI will keep improving how fast systems process information, but customer expectations will simply rise to match. As automated systems get more capable, human decision-making becomes the thing that actually differentiates good service from average service, in what's otherwise a fairly standardised, automated landscape — but only if the perverse incentive gets addressed first. Otherwise, faster processing just gets organisations to the same human bottleneck sooner.

Want to know where decision-making speed sits in your own organisation right now? The Friction Factor survey is a fast way to find out — or get in touch if you're a council looking at this through a Section 17A lens.