
Description
This immersive eLearning experience addresses the friction points that occur when product designs transition into code. The module teaches users to make decisions that prioritize early alignment and constant transparency. By experiencing the consequences of their choices in a safe environment, users learn how to proactively prevent costly development blind spots and eliminate redundant work caused by misaligned expectations.
Role: Designer


The goal
To bridge the cross-functional gap between Product Designers and Developers, establishing a unified, low-friction communication workflow across the entire product development lifecycle.
By navigating realistic, scenario-based decisions—from initial project kickoff to handoff, sprint execution, and QA testing—learners develop mutual empathy, shared technical language, and proactive alignment strategies needed to ship AI-driven features faster and with fewer rework loops.
Learner Profile

Overview
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Roles: Product Designers (UI/UX) and Front-End/Full-Stack Software Engineers.
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Context: Employees at a fast-paced B2B SaaS company building an AI-powered recruitment platform.
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Experience Level: Junior to Mid-level practitioners (or senior team members adapting to new cross-functional processes).
Key Attributes & Workplace Realities
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Technical & Design Literacy: High mastery of their respective domain tools (Figma, React, Git, Jira), but inconsistent fluency in the other discipline’s workflow, terminology, and constraints.
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Core Pain Points:
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Design Handoff Friction: Designers miss edge cases (e.g., loading states, empty states, AI error boundaries); developers make unvetted UI compromises during build.
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Communication Gaps: Misaligned expectations during critical project milestones—initial assignment, design handoff, mid-sprint execution, and QA/testing.
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AI Complexity: Friction around designing and building non-deterministic AI features (e.g., handling latency, candidate match confidence scores, prompt feedback loops).
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Motivations: Wants to ship high-quality features faster, eliminate frustrating rework loops, and maintain a collaborative, low-friction team dynamic.
E-Learning Environment
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Format: Immersive, scenario-based e-learning with branching decision points.
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In-Game Support: Includes Danny, an embedded friendly virtual mentor/advisor available on-demand to offer hint prompts, workflow best practices, and terminology checks before high-stakes decisions.
Learning Objectives
By the end of this immersive experience, learners will be able to:
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Project Kickoff: Formulate alignment questions during initial assignment to establish technical feasibility, AI constraints, and shared component parameters before starting design.
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Design Handoff: Complete a comprehensive handoff checklist—including edge cases, micro-interactions, loading states, and AI error states—to ensure zero missing specs for development.
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Sprint Execution: Apply real-time communication protocols when technical roadblocks occur mid-sprint, making collaborative trade-offs without breaking design integrity or release scope.
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QA & Testing: Conduct joint design-QA reviews using standardized feedback criteria to identify and resolve visual or functional discrepancies prior to deployment.
Flowchart
The following is a visual guide to the branching logic and scenario-based learning paths of the project made using Camunda.

Core functionality
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Interactive Decision-Making: Branching scenarios where users choose communication strategies and immediately see the impact on project timelines and team morale.
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Proactive Alignment Frameworks: Teaches "first-step" best practices, such as involving technical leads during the early ideation phase to ensure feasibility.
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Conflict Resolution Simulations: Challenges users to navigate common friction points, such as late-stage design changes or misunderstood documentation, to find collaborative solutions.
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Strategic Handoff Guidance: Focuses on establishing open channels of communication rather than one-way handoffs.
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Consequence-Based Feedback: Provides detailed rationales for both optimal and suboptimal choices, reinforcing why early information sharing is essential to the development process.

Images of End product













