1. Home
  2. On Demand Training
  3. Law Enforcement
  4. Tactical De-Escalation for Law Enforcement

Tactical De-Escalation for Law Enforcement

Buy Now
Buy Now

An innovative, customized course designed to improve the de-escalation and decision-making skills of law enforcement within the framework of the Guardian mindset in situations characterized by ambiguity, uncertainty, unpredictability, changeability, time-pressure, competing or changing goals, and potential danger. This class is created by ShadowBox.

$399.00 
Buy Now

Learn More

What you will learn

Customized online learning to meet your individual training and scheduling requirements. Online course includes:

  • Introductory video explaining course objectives, themes, decision-making theory, and the ShadowBox methodology.
  • Eight experiential ShadowBox training exercises. Each exercise requires trainees to make and explain numerous challenging decisions before being exposed to insights from select Subject Matter Experts (SMEs) regarding those same decisions.
  • Flexible scheduling – Courses are online and on-demand to meet scheduling requirement.

Who should take this class?  

  • Law Enforcement
  • Security Professionals
  • Federal Agency Personnel

Customizable Course Themes 

  • De-escalation
  • Officer safety
  • Risk vs. reward assessment
  • Priority of life (POL)

  • Tactical problem-solving
  • Tactical communication
  • Warrior vs. guardian mindset
  • Officer-created jeopardy (OCJ)

Cognitive Skills Addressed

  • Sense-making
  • Tactics
  • Priorities
  • Problem Detection & Diagnosis
  • Teamwork
  • Anticipation

  • Spatial reasoning
  • Improvisation/Workarounds
  • Perspective Taking
  • Persuasion/Gaining Compliance
  • Rapport Building

Background  

ShadowBox, LLC, a leader and innovator in decision skills training.  Based on the ground-breaking research of Dr. Gary Klein, founder of the Naturalistic Decision-Making movement and creator of the Recognition-Primed Decision model. Contact Jlawless@centerforti.com  425 922-8279