Seven Minutes to Be Seen: What a Japanese Train-Cleaning Team Reveals About the Future of Work
Updated: 7 days ago
Before the train arrives, the Team is already waiting.
On a platform at Tokyo Station, TESSEI cleaning staff stand in uniform, positioned along the track.
As the Shinkansen, Japan’s high-speed train, pulls into the station, they bow together.
Passengers step off. The staff receive their rubbish and prepare to board.
Then the countdown begins.
The train’s turnaround takes twelve minutes.
Once passengers have disembarked and time has been allowed for the next passengers to board, the cleaning Team has just seven minutes.
They collect rubbish, check for forgotten belongings, wipe tables, replace headrest covers and rotate seats to face the direction of the next journey. Other staff clean the toilets.
Different tasks unfold simultaneously throughout the train.
When the work is complete, the team steps back onto the platform, lines up and bows to the waiting passengers.
The train is ready.
Watching this coordinated sequence, it is easy to understand why it became known as the “seven-minute miracle”.
There is something almost magical about it: individual movements becoming a collective rhythm.
The opening bow, the shared countdown and the final alignment give the work a visible beginning and end.
The bow is an expression of hospitality.
Seen through a systemic lens, it also gives form to something that organisations often struggle to make tangible: a Team’s shared contribution.
The people behind the miracle
TESSEI’s transformation became the subject of the Harvard Business School case Trouble at Tessei, by Ethan Bernstein and Ryan Buell.
Teruo Yabe, who joined the company’s leadership in 2005, helped develop a broader understanding of the work.
Cleaning became part of hospitality: preparing the conditions for someone else’s journey.
Employees’ ideas received attention.
Recognition also began to circulate between colleagues through “Angel Reports”, which highlighted positive actions that might otherwise go unnoticed.
One example in Yabe’s account is particularly revealing:
an employee arriving early to prepare the tools so that everyone else could work well.
That contribution could easily disappear behind the final result.
Yet it helped make the result possible.
Yabe explained that colleagues could see valuable actions that managers might miss.
Recognition therefore became more than praise from above.
It became a way for the Team to notice its own strengths.
My reading of the case is that this visibility helped sustain the conditions behind the miracle.
People could recognise their work as a meaningful contribution to a service larger than their individual task.
They were part of the journey.
Visibility changes our understanding of performance
Being visible at work means more than having our name attached to an achievement.
It means knowing that others understand what our contribution makes possible.
Someone prepares the equipment.
Someone spots a problem early.
Someone helps a colleague, preserves a relationship or makes a handover work.
The final outcome may look effortless precisely because these contributions have been effective.
This creates a challenge for leadership:
some of the work that matters most leaves the fewest traces.
An avoided error never becomes an incident.
A well-managed transition never becomes a crisis.
The person who enables others to succeed may appear less productive when performance is assessed only through individual outputs.
Systemic visibility means understanding these relationships:
how one person’s work creates the conditions for another person’s success.
It also means giving people a clear place in the collective result.
TESSEI’s choreography makes that connection unusually tangible.
Each member has a defined responsibility, while the next departure depends on the whole train being ready.
The shared ritual allows passengers to see the team behind the service.
It gives the team a moment in which its collective contribution becomes visible.
What happens when AI changes the meaning of a role?
This question becomes increasingly relevant as organisations redesign work around artificial intelligence.
Some of the activities we delegate to AI are also activities through which people experience competence and significance:
developing an idea, exercising judgement, solving a difficult problem or becoming someone others rely on.
When those activities move to technology, the human role needs deliberate attention.
A person may remain busy reviewing outputs, correcting errors and managing exceptions, while having fewer opportunities to recognise their own expertise in the finished work.
This is a risk of how work is designed.
Its extent will depend on which activities are transferred, how responsibilities change and what opportunities people gain in return.
Promises of “higher-value work” need substance.
What will people be trusted to decide?
What will they own?
Where will their experience make a difference?
How will that difference be recognised?
Without clear answers, greater efficiency may coexist with a weaker sense of contribution.
Organisations can make the capabilities of their technology highly visible while leaving the value of their people increasingly difficult to locate.
A leadership responsibility
The TESSEI story invites us to consider visibility as part of organisational design.
Recognition matters.
So do the structures that allow people to contribute:
clear responsibilities, meaningful autonomy, attention to frontline knowledge and an understanding of interdependence.
For executive and team coaching, this opens a valuable field of inquiry:
Who enables this team to succeed?
Which contributions remain outside our conversations about performance?
As technology takes over activities, where will people find a meaningful place in the result?
Exploring these questions can reveal gaps between what an organisation asks people to contribute and what it actually recognises.
The business implications are concrete.
A leader who understands how work connects is better placed to protect essential knowledge, redesign roles, improve handovers and assess performance fairly.
At Tokyo Station, the team finishes its work and returns to the platform.
For a moment, every person who helped prepare the train is visible.
They bow together. The passengers board. The next journey begins.
As we redesign the future of work, we would do well to preserve that connection:
the experience of knowing that our contribution matters to something larger, and that others can see why.
#SystemicLeadership #Teamwork #CollectiveIntelligence #MeaningfulWork #EmployeeRecognition #HumanCentricAI #FutureOfWork #SystemicCoaching
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