This project was scoped as a performance-focused microlearning simulation that improves a measurable leadership behavior: communicating accountability with emotional intelligence. The goal was to move beyond knowledge checks and build a realistic scenario that challenges decision-making in context-mirroring the complexity leaders face in real conversations.

The scope included:

• Performance Objective: Strengthen a leader’s ability to address missed expectations while maintaining psychological safety and trust.

• Business Alignment: Reduce conflict escalations and increase ownership within teams by improving leader communication.

• Instructional Strategy: One scenario with six branching decision points designed to assess emotional reasoning, feedback clarity, and follow-though.

• Time & Delivery: 10 - 15 minute microlearning that integrates into any LMS or leadership curriculum.

• Key Deliverables:

  • Scenario script + branching map

  • AI-powered reflective knowledge check

  • Feedback model integration

  • Course build and visual design

  • Job aid (accountability conversation guide)

• Success Indicators: Learner progression through corrective decision paths, reflective AI insights, and completion of actionable commitments

This structured scope ensured the experience demonstrated behavior change, not just content delivery thereby showcasing scenario strategy, modern tool use, and instructional design.

The learning experience was designed using a Scenario-Based Learning framework grounded in behavioral-modeling and emotional intelligence principles. Rather than teaching concepts passively, the design required learners to practice decision-making under realistic social pressure as a key condition for leadership transfer.

Design Decisions:

• Learning Model: Scenario-Based Learning + Cognitive Apprenticeship

• Behavior Framework: Accountability Feedback Loop (clarify > explore > align > commit)

• Emotional Intelligence Lens: Recognize emotion, regulate tone, maintain rapport

• Narrative Flow: Conflict escalation risk > conversation recovery > behavior reset

• Feedback Strategy:

  • Immediate branch feedback for decision-making

  • Coaching feedback through the guide character (Alex)

  • Reflective feedback using AI on the final knowledge check

• Tone & Voice: Professional but human-centered; realistic without corporate jargon

• Motivation Strategy: Psychological safety + credibility through authentic dialogue

The simulation was developed using We Are Learning to produce AI-driven character animations with scripted branching dialogue and emotional expression. I wrote and engineered all dialogue to simulate a realistic workplace coaching conversation and mapped six decision points with branch logic to reflect natural consequences of communication choices.

• Branching Logic: Built conversation flow using conditional paths that reward high-accountability behaviors and redirect unproductive responses.

• AI Voice + Animation: Generated character performances with synced voiceover timing and body language to increase authenticity.

• Multimedia Integration: Used Photoshop to create brand-aligned scene elements.

• AI Coaching Layer: Integrated AI as a dynamic knowledge check that personalizes feedback based on open-ended learner responses.

• Platform Delivery: Published as a standalone simulation and prepared for LMS upload or Articulate 360 embedding.