reinforcement-strategies

What problem does it solve?

Reinforcement Strategies provide structured methods to design, implement, and troubleshoot reinforcement-based interventions, helping clinicians and teachers reliably increase desirable behaviors while managing reinforcement delivery and procedural integrity.

Core Features & Use Cases

• Design and evaluate reinforcement-based interventions (positive and negative reinforcement, token economies, and schedule thinning) to improve target behaviors.
• Use preference assessments to select effective reinforcers and mitigate satiation across contexts.
• Apply behavioral momentum and high-p sequences to boost initial compliance and maintain behavior change in classroom, clinic, and home settings.

Quick Start

Outline a token economy plan and schedule thinning for improving on-task behavior in a small-group classroom.