The teams that consistently deliver well under pressure almost always have some unallocated capacity built into their week. Not idle time. Reserve capacity. Room to absorb the urgent client request.
The challenge is that this kind of buffer is hard to distinguish from underutilization on a dashboard. A team running at 75% planned capacity and a team that's underperforming can look identical from the top.
So how do you create space for your teams to absorb the unexpected without it reading as slack in your reporting? Is it baked into how you set targets, or is it handled some other way?
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Luis BrancoCEO| Business Insight, Consultores de Gestão, LdªCarcavelos, Lisboa, Portugal
Sandeep, I think the key is not to hide operational slack, but to make reserve capacity explicit.
If a team deliberately leaves part of its available capacity uncommitted because the operating environment requires it to absorb variability, then that capacity has an intended operational function. The reporting should distinguish intentional reserve capacity from unintended unused capacity.
I would therefore start with the response requirement and the variability the team is expected to absorb, then make that capacity decision visible and measurable. Otherwise, a utilization metric can make two very different operating realities look identical.
There is also a systemic effect. Driving every team toward maximum utilization may improve a local metric while increasing waiting time, reprioritization and disruption elsewhere.
So perhaps the deeper question is not how to make operational slack look acceptable, but whether our performance architecture can distinguish unused capacity from capacity deliberately preserved to protect responsiveness and overall system performance.
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1 reply by Sandeep Kashyap
Sep 07, 2026 7:03 AM
Sandeep Kashyap
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I agree with your point. The performance structure needs to distinguish deliberately preserved capacity from genuinely unused capacity. I suppose the next challenge is making the value of that reserve measurable. Perhaps the answer is not to measure the reserve itself, but what it enables, like how much unplanned work the team can absorb or how much disruption it prevents to planned work.
Give the buffer time an official name in your schedule so it counts as productive work instead of empty space. For example, block out 20% of the team's week for "process improvements," which looks great on paper but can be instantly dropped when an emergency hits.
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1 reply by Sandeep Kashyap
Sep 07, 2026 7:04 AM
Sandeep Kashyap
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I can see how this might work as a practical workaround, but I wonder if we're simply giving reserve capacity another name to make it acceptable in reporting. If that time is genuinely intended to absorb variability, wouldn't it be better to make its purpose explicit?
Sandeep, I think the key is not to hide operational slack, but to make reserve capacity explicit.
If a team deliberately leaves part of its available capacity uncommitted because the operating environment requires it to absorb variability, then that capacity has an intended operational function. The reporting should distinguish intentional reserve capacity from unintended unused capacity.
I would therefore start with the response requirement and the variability the team is expected to absorb, then make that capacity decision visible and measurable. Otherwise, a utilization metric can make two very different operating realities look identical.
There is also a systemic effect. Driving every team toward maximum utilization may improve a local metric while increasing waiting time, reprioritization and disruption elsewhere.
So perhaps the deeper question is not how to make operational slack look acceptable, but whether our performance architecture can distinguish unused capacity from capacity deliberately preserved to protect responsiveness and overall system performance.
I agree with your point. The performance structure needs to distinguish deliberately preserved capacity from genuinely unused capacity. I suppose the next challenge is making the value of that reserve measurable. Perhaps the answer is not to measure the reserve itself, but what it enables, like how much unplanned work the team can absorb or how much disruption it prevents to planned work. Saving Changes...
Give the buffer time an official name in your schedule so it counts as productive work instead of empty space. For example, block out 20% of the team's week for "process improvements," which looks great on paper but can be instantly dropped when an emergency hits.
I can see how this might work as a practical workaround, but I wonder if we're simply giving reserve capacity another name to make it acceptable in reporting. If that time is genuinely intended to absorb variability, wouldn't it be better to make its purpose explicit? Saving Changes...
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
I usually account for it when planning capacity rather than treating 100% utilization as the goal. There will always be unplanned work, questions, dependencies, or issues that need attention. I think the important part is being clear about why that capacity exists. If leadership understands that it is there to absorb normal variability and protect delivery, it is easier to see it as part of the plan rather than underutilization.
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1 reply by Sandeep Kashyap
Sep 09, 2026 1:32 AM
Sandeep Kashyap
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This is a good way to think about it. Planning for less than 100% and being upfront about why takes a lot of the ambiguity out. I'm curious, do you anchor that number to anything specific, like a historical rate of unplanned work, or is it more of a judgment call you revisit as things change?
I think the problem starts when unallocated capacity automatically gets treated as underutilization. Some breathing room is what actually helps teams deal with unexpected work without constantly reshuffling priorities. This is something I’ve been exploring with KolApp as well having visibility into who has room and who’s already stretched across projects makes those capacity decisions much easier. 100% allocation might look efficient on a dashboard, but in practice it rarely stays that way. Saving Changes...
I usually account for it when planning capacity rather than treating 100% utilization as the goal. There will always be unplanned work, questions, dependencies, or issues that need attention. I think the important part is being clear about why that capacity exists. If leadership understands that it is there to absorb normal variability and protect delivery, it is easier to see it as part of the plan rather than underutilization.
This is a good way to think about it. Planning for less than 100% and being upfront about why takes a lot of the ambiguity out. I'm curious, do you anchor that number to anything specific, like a historical rate of unplanned work, or is it more of a judgment call you revisit as things change? Saving Changes...
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