
Scenario-based command training for company and chief officers
Developing Fireground Decision Making Through Deliberate Practice
This 10-minute training overview explains how structured, scenario-based practice is used to improve fireground decision making. 10-Minute Training uses Tactical Decision Games (TDGs) to develop the ability to interpret conditions, form expectations, and make effective decisions under time pressure.
Why This Approach Works
10-Minute Training is based on deliberate practice.
Deliberate practice focuses on repeated exposure to challenging tasks that require focused attention and effort. In the fire service, this includes practicing size-up, strategy selection, and communication under conditions that reflect real incidents.
Over time, this process strengthens recognition, improves decision speed, and supports more effective actions on the fireground.
Key Training Elements
Each scenario is built around core elements of fireground decision making:
- Conditions on arrival
- Pre-arrival considerations
- Strategy selection
- Tactical decision making
- Communication of the incident action plan
These elements reflect how decisions are made during actual incidents.
Training Constraints
The effectiveness of 10-Minute Training depends on realistic constraints.
Participants work:
- Within a limited time frame
- With incomplete and evolving information
- Without discussion during initial decision making
These conditions reflect fireground operations, where decisions must be made quickly and with uncertainty.
Decide, Then Discuss
A key element of this approach is:
Decide, then discuss.
Participants make decisions independently before reviewing and discussing their actions. This allows for:
- Honest assessment of decision making
- Comparison of strategies
- Improved understanding of outcomes
Discussion occurs after the decision process, not during it.
Relationship to Training and Research
10-Minute Training is informed by operational experience and ongoing research into fireground decision making.
The scenarios reflect how decisions are actually made rather than relying solely on procedural models. This approach aligns training with real-world performance.
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