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Who is it for...?

Chaos after fully booked events

For teams who still handle manual follow-ups and reshuffling after events fill up.

When your event is full – and that’s when the problems begin

When being full still looks like success

The event is full.
Every spot has been taken.
From the outside, this clearly looks like success.

The work seems to be done:
there was interest, there were registrations, capacity is full.
Many organizers would draw the line here.

The point where success starts to become a burden

The process, however, does not stop at full capacity.

Registrations keep coming in.
Questions appear.
“What if a spot opens up?”
“Let me know if I can still get in.”

This is where the question emerges that most systems can no longer answer:
so what now?

Who is this page for?

This page is for those for whom being fully booked is not an exception, but a recurring state.

Those who:
– organize workshops, trainings, group programs
– work with events that have limited capacity
– run groups in batches or periodic cycles
– regularly face overbooking

This is not about an industry.
It’s about a situation.

The invisible work we rarely talk about

After an event fills up, a lot of work appears that is invisible from the outside:

– manual emails to applicants
– coordination around newly available spots
– managing waitlists
– decisions that no one really wants to make

This is not poor organization.
It is simply the point where the situation has grown beyond what the original tools can handle.

Why don’t the usual solutions help here?

Appointment booking systems work well
as long as there is something to book.

A waitlist is convenient
as long as no real decisions have to be made.

But when there are regularly more applicants than spots,
the problem is no longer technical.
It’s not missing features, but a missing operating framework.

The real question

At this point, the question is no longer
how to admit even more people.

But rather:
– how to keep order after capacity is full
– how to make decisions consistently
– how to avoid ad hoc solutions
– how to preserve trust and a sense of fairness

This is no longer about booking.
This is about operation.

When system-level thinking is required

This point is no longer about yet another tool.
And not about a trick.

It’s about the fact that the post–full-capacity state
requires its own operating model.

👉 [Homethe system-level approach]

If you want to see how this looks at different levels of operational maturity,
it’s also worth taking a look at the pricing logic.

👉 [Pricinglevels of operational maturity]

A final thought

You don’t have to solve everything right now.
It’s enough to recognize that when your event is full,
a different question begins.

And that question is no longer answered by the same tools.

When multiple events run at the same time

When multiple groups run at once and they fill up. How many separate groups do you run at the same time? What should happen when they fill up?

When multiple events run at the same time