When a trainee qualifies, the firm has a strong sense of whether they were good — but limited data on why, or on what specifically they still need to develop.
Simulations change this.
Every time a trainee works through a simulation, structured performance data is generated:
This data is comparable across teams, offices, and intake years. It does not depend on which partner happened to supervise a given seat.
Without data, firms run the same sessions for everyone. With it, you stop covering topics people already understand and focus resources on real gaps — saving facilitation time and improving outcomes simultaneously.
Simulation performance data allows seat allocation and qualification decisions to be informed by demonstrated capability, not just supervisor impression. For firms running structured talent programmes, this is a meaningful competitive advantage.
If data-driven training planning eliminates two unnecessary full-day workshops per year:
| Variable | Figure |
|---|---|
| Cost of one firm-wide training day (30 trainees) | £15,000–£25,000 |
| Sessions eliminated per year | 2 |
| Annual saving | £30,000–£50,000 |
That figure does not include the harder-to-quantify benefit of catching development gaps before they reach clients.
The best training programmes are not the ones with the most content — they are the ones that know where to focus. Simulation is the only format that generates the performance data needed to make that judgement with confidence.