Dry Runz: What Should We Be Measuring in Simulation-Based Training?

When designing simulation-based training, one critical question always arises:

What exactly should we measure—and how?

At Dry Runz, we give training creators powerful control with a simple interface. Text inputs are automatically transformed into advanced JSON prompts, enabling precise, customizable assessment—without the complexity.

The Real Challenge: Consistency vs. Flexibility

In large-scale programs—imagine six simulators spanning thirty simulations—another question becomes central:

Should measurement criteria stay consistent across the board, or adapt to each scenario?

Both approaches have strong advantages:

Consistency brings:

• Clear tracking of skill development over time

• Reinforcement of core competencies

• Simplified reporting and analytics

• A stable framework for learners

Flexibility enables:

• Tailored assessments for unique challenges

• Broader, real-world skill development

• Prevention of system “gaming” once metrics are known

• Training that mirrors workplace unpredictability

Our Recommendation: A Hybrid Approach

At Dry Runz, we believe the most effective strategy is a hybrid model:

Maintain a consistent foundation of core metrics across all simulations, while allowing targeted variations to suit individual scenarios.

This approach ensures reliable measurement of long-term progress, while still offering the adaptability needed to test diverse skills and thinking patterns.

Why It Works: Backed by Learning Science

This balance reflects how real learning happens:

Improvement comes through repeated practice—but true growth also requires new challenges that stretch existing skills.

Dry Runz simulations are built to support both. With our architecture, you can create programs that measure what matters—while preparing professionals for the unpredictable realities they’ll face on the job.

‍