In this episode of Behavioral Intelligence con Mara Sánchez, we conclude Domain I: Supervision from the BCBA 6th Edition Task List as part of our BCBA exam preparation series.

Today’s focus is on I.7: Making data-based decisions about the efficacy of supervisory practices.

Effective supervision is not based on intuition—it is evaluated through objective data that reflects supervisee performance, skill acquisition, and treatment integrity. Supervisors must continuously analyze whether their supervision strategies are producing meaningful outcomes.

In this episode, you will learn:

• How to use data to evaluate the effectiveness of supervision practices
• Key metrics to monitor (e.g., treatment integrity, supervisee performance, skill acquisition)
• How to determine when supervision strategies need modification
• The importance of ongoing data collection and analysis in supervision
• How to align supervision outcomes with client progress and service quality

We will also discuss:

• Real-world ABA examples of data-based vs. assumption-based supervision
• Common mistakes (e.g., relying on subjective impressions, not tracking performance data)
• BCBA exam tips for identifying correct data-based decision-making scenarios
• How to conceptualize supervision as a continuous quality improvement system

This episode is essential for RBTs, BCBA candidates, and supervisors who want to ensure their supervision is effective, ethical, and outcome-driven.

🎓 Access BCBA & RBT study materials, training, and services:
👉 https://stan.store/ATherapyServices

📩 Contact: [email protected]

💬 Question:
How do you KNOW your supervision is working… what data are you tracking?

This is the final level of supervision thinking:

👉 Not just: “Did I supervise?”
👉 But: “Did my supervision WORK?”

⚠️ Exam traps:

• “Supervisor feels supervisee improved” ❌
• “No data collected” ❌
• “No changes despite poor performance” ❌