Scenario Design
Branching Logic & Feedback Systems

This interactive scenario trains emerging leaders to address accountability issues using emotional intelligence and constructive coaching.

Learners guide a leadership conversation through multiple decision points and experience the real impact of their communication choices.

The scenario blends realistic dialogue, performance-focused feedback, and AI-powered reflection to build practical coaching competence.

PROJECT DETAILS

  • Roles: Instructional Designer & eLearning Developer

  • Brief: Design a branching scenario with emotional impact and real-world leadership application, focused on handling accountability without damaging trust.

TOOLS

  • We Are Learning

  • ChatGPT

  • Adobe Photoshop

SKILLS

  • AI Integration

  • Branch Mapping

  • Instructional Strategy

  • Scenario Design

  • Learning Experience Design

  • Feedback Modeling

  • Scriptwriting

  • Learner Engagement

Final Project

Before You Begin: Ready your microphone or keyboard for a complete experience.

The final project is an interactive scenario embedded using responsive iFrame coding for seamless cross-device performance. Near the end, an AI-powered knowledge check allows learners to respond using either their microphone or keyboard for a personalized coaching experience.

Notes & Rationale

  • 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.

Outcomes

This scenario showcases my ability to design behavior-based learning using branching strategy, coaching-style feedback, and AI-enhanced reflection.

It illustrates my instructional approach: practical, emotionally intelligent, and performance-focused.

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