The cleanest measure of the medical and conditioning system, and the one most directly convertible into money.
Lean Six Sigma by sector
Lean Six Sigma in sport
Sport adopted marginal gains as a slogan and rarely as a discipline. Where the method genuinely helps a club or a programme, which numbers survive contact with a season, and why almost every confident conclusion drawn from a run of matches is noise.
Chapter 1
What actually breaks here
The first place sport loses value is availability. A squad is a capacity problem, and injuries are unplanned downtime with a recovery curve attached. Clubs that treat training load, sleep, travel and return to play as a measured process rather than as instinct get more of their expensive assets on the pitch, which is worth more than most tactical adjustments.
The second is recruitment, which is a decision process and is usually run without one. The same shortlist reviewed by different people, no agreed definition of what is being assessed, evidence gathered after the preference has already formed. Writing down the criteria before seeing the candidate is elementary decision hygiene and it is startlingly rare.
The third is everything around the performance: matchday operations, turnaround between fixtures, kit and equipment logistics, medical and analysis workflows, academy administration. None of it wins a match and all of it takes time from people whose time is the point.
Chapter 2
The numbers worth having
The gap between the plan and what the athletes actually did is where most preventable injury risk sits.
Tracked as a distribution. The tail tells you about the rehabilitation process rather than about the athletes.
Same footage, several assessors, scored blind. The spread is the reliability of your recruitment process.
Unglamorous and decisive. Analysis built on seventy percent capture is analysis built on a guess.
Feedback arriving after the next session has almost no value, exactly as in a classroom.
Chapter 3
What a project looks like
A sport project is usually best aimed at the system around performance, because that is where the process repeats and the data is honest. Define names one thing: return to play for soft tissue injuries, or the time from fixture to analysis delivered to coaches.
Measure is the hard part, and it is mostly capture discipline. Wearables, video and medical systems all produce data, and all of them have gaps exactly where the interesting cases are, because the weeks that go badly are the weeks nobody fills in the form.
Analyse in sport demands unusual restraint. A season is a small sample, form is autocorrelated and opposition quality varies, so the apparent effect of a change is very often ordinary variation. The honest tools here are the ones that carry their uncertainty openly, and the honest answer is frequently that you cannot yet tell.
Improve and Control then look much as they do anywhere: remove a wait, standardise the capture, agree who owns the chart. The difference is that the intervention window is short and the season does not pause for your project.
Chapter 4
Where it struggles in sport
Performance itself is not a production line. Athletes are individuals with different responses to the same load, and an approach that averages them will harm somebody. The method belongs to the system around the athlete and to the consistency of decisions, not to the athlete.
Small samples are the technical heart of the problem. A club playing thirty eight league matches cannot separate a genuine improvement from luck within a season for most measures, and the marginal gains story, true in outline, has been used to sell a great deal of unfounded certainty.
The third is that results are the worst possible feedback signal for a process. A team can do everything right and lose, and everything wrong and win. Judge the process on process measures, and treat the league table as an outcome you influence rather than one you control.
Chapter 5
Questions people ask
Marginal gains is the slogan that came out of one cycling programme, and it is usually quoted without the discipline that made it work: measure, test, keep what survives, discard what does not. The method underneath is exactly that discipline, applied where the sample sizes allow a real conclusion.
Availability and recruitment. Availability because injury and load are measurable processes with a direct financial value, and recruitment because it is a repeated high stakes decision that most clubs make with no agreed process at all.
Not directly, and anyone promising it is selling. You can improve the proportion of the squad fit to play, the quality of recruitment decisions, and the speed at which coaches get usable information, and those raise the probability of good results without ever guaranteeing one.
Chapter 6
Where to go next
The method in full
Lean Six Sigma
What it is, how an engagement runs, and what it takes in time and people.
The abbreviation L6S explainedWhat L6S stands for, where the number six comes from, and the belt ladder.
The control chart Statistical Process ControlThe one tool worth learning first, and the ways it is misread.
Where to start Reading tracksShort paths through the writing, ordered so you do not land in the middle.
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