Forecasting course demand:
plan capacity without Excel
How do you know in May that you'll be short on BHV refresher seats in September? (BHV is the Dutch in-house emergency response training.) You don't feel it; you read it off aggregated historical statistics per course per month: how many bookings did you get in the same month last year, corrected for your recent growth, compared with the capacity you've planned now. This guide explains how that works, when it breaks, and why most training providers scale up their capacity three months too late.
The problem: capacity catches up with demand too late
At almost every Dutch training provider, booking demand peaks in autumn. BHV courses run on a 1-year cycle, first aid (EHBO) on a 2-year cycle, Code 95 (the EU professional driver requirement) on a 5-year cycle: year after year that produces recognisable seasonal peaks in the booking figures. If you base your planning on "last month was quiet, so next month probably will be too", you're reading the wrong signal.
The pinch comes in August. The holidays are over, transport companies and HR departments pull out their lists, and suddenly bookings pour in for sessions you haven't even planned yet. By then your instructor pool has been on holiday too, and the rooms you could still hire in June have been taken by the competition. It doesn't cost you customers, but it costs you margin: ad-hoc hiring and last-minute room rental are more expensive, and your instructors run over hours all month.
Expected demand in September = bookings in September last year × growth factor. Compare that with your planned seats for September. If the expected demand is higher than the number of seats, plan extra. Preferably in May, not in August.
How it works
The forecast runs on aggregated historical statistics per course per month. No personal data, no individual participant profiles, only numbers. For each course and each month, Trainiq looks at the booking volume from previous years, corrects it for your recent growth and compares it with your planned capacity. If the predicted demand exceeds the seats, the cell turns red and you plan an extra session.
A practical rhythm: how often do you forecast?
| Frequency | What you do | What you get back |
|---|---|---|
| Weekly | Scan the heatmap overview for 5 minutes | Early warning when new red cells appear |
| Monthly | Adjust capacity for months 2 to 4 ahead | Time to arrange instructors and rooms |
| Quarterly | Review long-term capacity, adjust pricing and marketing plan | Strategic decisions based on the trend |
Frequently asked questions
Does the forecast use individual participant data?
No. The forecast is based entirely on aggregated statistics per course per month. No calculations are made on individual people or personal data.
Does it work if I don't have much data yet?
Yes, with one caveat. Courses with little history get a low confidence score and are labelled 'rough estimate'. The more history, the more stable the signal.
Can I override the forecast by hand?
Indirectly, yes. The forecast is a signal, not an order. Do you know a large company is sending extra participants in October? Plan extra sessions in advance and the heatmap cell turns green.
In short
Capacity planning comes down to one question: do you have enough seats in a specific month for the demand that's coming? Trainiq's forecast feature answers that question per course per month, based on aggregated historical statistics, with one click to plan an extra session as soon as a cell turns red. Request a free demo and we'll walk through your real data together.
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