Industries
Five industries, and one criterion that weighs more than the industry.
The sector code decides nothing. A change with a date and enough people facing the same new need decide everything.
Where it does not hold, we say so.
Four conditions
None of them is a sector code.
- A change with a date
- Many facing the same shift
- A starting point you can describe
- From roughly 500 employees
With all four in place, a cohort can be planned. Without the date, it stays a single learning path.
The actual criterion
What it really depends on
A change that has a date.
Without one, qualification loses every priority contest against day-to-day work.
Enough employees with the same new need.
The total headcount does not count. What counts is how many face the same shift in their work profile.
A starting point that can be described.
In technical work usually through recognised training occupations. If it scatters widely, the cohort falls apart into individual cases.
A size at which structure pays off.
From roughly 500 employees. Below that the effort of clustering cannot be justified.
The five industries
Drivers and cohort fit compared
The assessment on the right is our own, and deliberately not the same everywhere.
Electrification, software inside the product, automation and digital quality reach production, quality and maintenance at the same time.
high
Many people on the same equipment, regulated prior knowledge, a scheduled ramp-up. The strongest case.
Industrial IoT, digital services on the product you sold, robotics in your own production, digital twins in engineering and commissioning.
high, but only across sites
Unproblematic in your own production. In service and engineering a group only forms across several works.
Grid build-out, active grid steering, the rollout of intelligent metering systems, storage, and heat and hydrogen as new asset classes.
high, except in the control room
Metering and field work are ideal. Control rooms staff too few people, so there the learning path carries the load.
Decarbonising process heat, advanced process control, digital laboratories and new production processes.
high on content, demanding on timing
A shift team on the same plant is unusually homogeneous. Continuous operation demands several identical runs.
Process automation, digital customer interaction, analytics inside decisions and new digital products.
lower than in industry
The starting point scatters, the trigger rarely has a date. It holds in large operations units, not in small specialist teams.
Everything else
And if your industry is not listed
These five are here because we know how they run and can back the examples up. They are not an entry requirement.
The approach carries wherever a larger change pushes many employees in a comparable new direction. Only the delivery constraints differ: shift, location, release from work and group size.
Next step
The industry is the context. The initiative is the starting point.
The Transformation Scan asks about the initiative, the units affected and the order of magnitude, and returns a first role and skill picture.