Dynamic Systems Engineering for Corporate Training Media Development

A Ten-Stage Methodology for Complex Learning Solutions

Scott J. Warren, University of North Texas

Annette Fog, Globe Life

Janetta Boone, NASA

Brent Tincher, Lockheed Martin

Stephanie L. Robinson, University of North Texas

Decision Sciences Conference

The Challenge in Corporate Training Media Development

Modern Training Media Faces Unprecedented Complexity

Organizations struggle with developing effective training media that addresses:

  • Diverse employee populations with varying technological capabilities and learning preferences requiring adaptable media solutions
  • Multiple interacting systems including organizational, technological, psychological, and performance components that media must support
  • Rapid business change requiring training media that is both comprehensive and agile
  • ROI pressure demanding evidence-based media development approaches with measurable business impact
Traditional instructional design models lack the engineering rigor needed to develop today's complex digital training media and immersive learning solutions

Limitations of Traditional Approaches

Common Models Used Today

ADDIE

Analysis → Design → Development → Implementation → Evaluation

Linear, phase-based approach

(Bichelmeyer, 2005; Wang & Hsu, 2009)

ASSURE

Analyze learners → State objectives → Select media → Utilize → Require participation → Evaluate

Media-focused methodology

(Reigeluth, 1999)

Critical Gaps:

  • Lack dynamic depictions of actions and interactions within organizational systems
  • Insufficient guidance for complex stakeholder environments
  • Limited engineering specifications for digital components
  • Inadequate integration with organizational systems
  • Assume stable requirements that rarely exist in business environments

(Wang & Sun, 2022; Warren et al., 2021)

Theoretical Foundation

System Dynamics (SD)

Origin: Jay Forrester's work at MIT

Analyzes complex systems by exploring how macro, meso, and micro level subsystems interact

(Forrester, 1996, 2007)

Five-Step SD Model:

  1. Identify a problem or issue
  2. Develop a dynamic hypothesis explaining the cause
  3. Build a model of the system at the root of the problem
  4. Recognize cause and effect in the system
  5. Structure the system from cause and effect to behavior

Valuable for understanding big-picture components but has limitations for detailed design guidance (Featherston & Doolan, 2012; Harrop et al., 2012)

Soft Systems Methodology (SSM)

Origin: Peter Checkland's research

Addresses "wicked problems" - complex, ill-defined challenges with multiple stakeholders and competing objectives

(Mingers, 1980, 2015; Checkland, 1981; Checkland & Scholes, 1990)

Dynamic Systems Engineering (DSE)

A Ten-Stage Methodology for Training Media Development

Integrating soft systems methodology with systems dynamics for rigorous corporate training media design and production

Key Principles:

  • Holistic approach - Considers multiple interacting systems that impact media effectiveness
  • Stakeholder engagement - Continuous involvement of content experts, designers, and end-users throughout media development
  • Iterative modeling - Test media prototypes and assumptions before committing resources to full production
  • Systematic documentation - Create repeatable media development processes and organizational knowledge assets
  • Engineering rigor - Formal specifications and validation processes for complex media projects
DSE provides the engineering specifications needed to develop complex digital training media including simulations, immersive VR experiences, and interactive learning solutions

DSE Ten-Stage Process: Problem Analysis

Stage 1: Make Sense of the Performance Problem Situation

Engage in sense-making through data collection: performance analytics, surveys, interviews, observations

Stage 2: Explain the Performance Problem in Organizational Context

Create narrative describing what the problem is, organizing for proposed solutions aligned with identified challenges

Stage 3: Develop Problem-oriented Root Definitions

Create common set of root definitions so all stakeholders communicate about the same structures with shared understanding

Stage 4: Build a Model of the Problematic Performance Situation

Work with stakeholders to build narrative model providing detailed explanations of system structure, subsystems, purposes, activities, interactions

DSE Ten-Stage Process: Design & Implementation

Stage 5: Compare the Ideal Model with Problem Situation Model

Design team compares ideal structure with current state to determine which components should be changed, removed, added, or improved

Stage 6: Determine Feasible and Desirable Design Components

Determine what to include and what is possible to implement successfully. Create performance goals aligned with business elements

Stage 7: Build Dynamic Models of the Solving Design

Develop dynamic model (rapid prototype) of the training media showing how the product addresses identified problems. Create planning documents, draft media products, and user support materials

Stage 8: Design-oriented Root Definitions

Document engineering specifications ensuring each media component is clearly defined for repeatability in future training media projects

DSE Ten-Stage Process: Evaluation & Learning

Stage 9: Implement Product

End user implements the training media product in intended organizational settings. Business value and media effectiveness are tested against real world. Capture data on user perceptions and alignment with performance goals

Stage 10: Learning Points

Use assessment and evaluation data to iteratively improve the training media product or store knowledge for future media development projects. Build organizational capacity for addressing complex training media challenges

The iterative nature of DSE allows continuous refinement based on stakeholder feedback and organizational needs

Applied Example: Developing Cybersecurity Training Media

Fortune 500 Financial Services Organization

  • 50,000+ employees across 15 countries
  • Diverse roles: customer service to senior executives
  • Varying levels of technical expertise
  • Need for immersive simulation media to teach abstract security concepts

The Media Development Challenge

Goal: Develop immersive training simulation media using VR technology to teach complex cybersecurity concepts through engaging scenarios

Incidents driving need:

  • Sophisticated phishing attacks causing data breaches
  • Social engineering compromising customer information
  • Insider threats with unauthorized access to sensitive data
$50M+

Financial losses from security incidents plus regulatory fines, reputation damage, and decreased customer confidence

Why Traditional Training Media Failed

Existing Media Approach

  • Mandatory annual online modules through LMS (generic media)
  • Annual security awareness presentations (passive media)
  • Generic examples in training media disconnected from job responsibilities
  • Compliance-focused media rather than performance-focused experiences
Critical Finding: Employees completed training media but failed to apply security principles when faced with realistic attack scenarios that differed from generic media examples

Media Development Complexity Factors

Audience Diversity

  • Varying technical expertise
  • Multiple languages and cultures
  • Different job responsibilities
  • Distributed remote workers

Regulatory Requirements

  • SOX compliance (US)
  • GLBA requirements (US)
  • GDPR compliance (Europe)
  • Local data protection laws

DSE Applied: Stages 1-3

Stage 1: Sense-Making

Data collected: Security incident reports, help desk tickets, compliance audits, employee surveys, interviews, observational studies

Key finding: 78% of successful attacks involved human error or manipulation

Attack Breakdown:

Attack Type Percentage
Phishing emails 45%
Social engineering (phone/in-person) 23%
Improper password management 10%

Stage 2-3: Problem Context & Root Definitions

Created CATWOE analysis defining Clients (employees/managers), Actors, Transformation (simulation creation), Worldview (scenario-based learning), Owner (Security & L&D), and Environment (corporate/remote/mobile settings)

DSE Applied: Stages 4-6

Stage 4: Stakeholder Advisory Group

Created board with security managers to identify critical competencies

Six Critical Competencies Identified:

  1. Threat Recognition (highest priority)
  2. Social Engineering Awareness
  3. Incident Response
  4. Data Protection
  5. Access Management
  6. Compliance Reporting

Stage 5-6: Model Comparison & Feasibility

Compared ideal security behavior model with current state

Determined desirable and feasible components given resources and skills

Created performance goals aligned with business objectives for measurable outcomes

DSE Applied: Stages 7-10

Stage 7: Media Solution Design

Media Approach: Immersive VR simulation technology for training media

Rationale: VR tools allowed rapid prototyping of media, iterative editing of simulation scenarios, and realistic presentation of security situations

Budget consideration: VR development tools made creation of multiple media prototypes feasible for testing with stakeholders

Stage 8: Media Documentation

Built comprehensive repository with engineering specifications, root definitions, and media design elements for organizational knowledge sharing and future media projects

Stage 9-10: Media Implementation & Learning

  • Pilot implementation of training media across three departments
  • Job aids and manager guides developed to support media usage
  • Support materials for active engagement with simulation media
  • Evaluation framework for measuring media effectiveness
  • Knowledge capture for future media development iterations

Key Benefits of DSE for Training Media Development

Systems Perspective

Recognizes training media exists within complex organizational ecosystems where media success depends on integration with existing systems and culture

Stakeholder Engagement

Ensures media solutions address real organizational needs through continuous involvement of content experts, designers, and end-users throughout media development

Risk Reduction

Iterative media prototyping identifies problems early when they can be addressed cost-effectively before full production

Knowledge Assets

Systematic documentation creates organizational assets for future media projects and continuous improvement of media development processes

ROI Demonstration

Links training media objectives to business outcomes, building evaluation into media design from the beginning

Repeatability

Well-defined processes support scaling successful media solutions to different contexts and audiences

Challenges & Limitations

Adoption Barriers for Media Development Teams

  • Unfamiliarity: Many training media professionals lack exposure to systems engineering methodologies (Vaneman, 2016)
  • Time pressure: Organizations often demand rapid media development, conflicting with deliberate systems analysis
  • Upfront investment: Systems analysis and media prototyping requires resources that may be seen as luxury
  • Interdisciplinary collaboration: Requires collaboration between media designers, subject matter experts, and organizational stakeholders

Implementation Requirements

Successful DSE adoption for media development requires:

  • Investment in professional development for training media practitioners
  • Organizational support for comprehensive media design processes
  • Culture shift to value long-term media effectiveness over short-term production speed
  • Leadership commitment to systematic media development approaches

Future Research & Directions

Research Needs

  • Multiple contexts: Apply DSE to diverse training media projects across industries, organizational sizes, and cultural contexts
  • Comparative studies: Compare DSE-developed media with traditionally designed training media for effectiveness and ROI
  • Longitudinal research: Understand sustained impact of DSE-designed training media solutions
  • Scalability studies: Explore how DSE scales to different media project sizes and complexities

Emerging Technology Integration in Training Media

Opportunities for integrating DSE with emerging media technologies:

  • Artificial intelligence for personalized learning paths in adaptive media
  • Machine learning for adaptive training media systems that respond to learner behavior
  • Virtual and augmented reality for immersive training media experiences
  • Advanced analytics for real-time performance tracking within training media
Media technology application must be guided by systematic analysis of organizational needs, not driven by technology capabilities alone

Conclusion

DSE: A Rigorous Framework for Complex Training Media Development

  • Integrates soft systems methodology with systems dynamics for comprehensive media analysis and design
  • Provides engineering rigor lacking in traditional instructional design models for media development
  • Emphasizes stakeholder engagement, iterative media prototyping, and systematic documentation
  • Addresses real-world complexity in developing training media while maintaining focus on performance outcomes
  • Creates organizational knowledge assets that support continuous improvement of media development processes

The Future of Corporate Training Media Design

As organizations face increasingly complex challenges, DSE offers a valuable framework for creating training media—from immersive simulations to interactive digital experiences—that truly serves both employee development and business performance goals.

Questions & Discussion

References

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