Product Manager & Designer
+25% Behavioral Consistency
Behavioral Science & Prototyping
In the high-volume service industry, the gap between "knowing" a procedure and "executing" it under pressure is a major operational risk. I designed and led the development of an interactive, scenario-based simulation environment that replaced passive training with active behavioral loops. By focusing on "Behavioral Readiness," I provided a low-risk space for employees to master complex customer interactions before ever stepping onto the floor.
Behavioral Win: Bridged the "Cognition-to-Action" gap through simulated high-stakes decision-making.
Operational Win: Reduced the burden on floor managers by ensuring new hires arrived with a baseline of verified performance.
Consistency Metric: Achieved a 25% increase in behavioral consistency and employee confidence scores.
New employees in the service industry are often expected to provide high-quality customer service with limited practical experience. Traditional onboarding emphasizes rules and procedures, leaving learners unprepared for real-world scenarios and resulting in inconsistent service and avoidable customer issues. This project focused on designing an interactive, scenario-based learning experience that allowed learners to practice customer interactions safely and realistically before entering live environments.
Traditional onboarding relied on static manuals and linear content, which failed to prepare employees for the social complexity of the service industry.
High-stress environments often caused "cognitive freeze" in new hires, leading to poor customer experiences and high early-stage attrition.
Management lacked a way to measure "readiness" until the employee was already interacting with live customers.
Inconsistent service quality during the first 30 days of employment, impacting brand reputation and NPS scores.
I reframed the project by asking: “How do we treat the onboarding process as a flight simulator for human behavior?” This shifted the focus to a Behavioral Design approach centered on:
Scenario-Based Branching: A non-linear UX that forced users to navigate the consequences of their choices in real-time.
Cognitive Load Optimization: Breaking complex service procedures into "bite-sized" interactive loops to avoid learner burnout.
Data-Informed Feedback: Implementing immediate "Behavioral Course-Corrections" within the app to reinforce positive habits.
The Trade-off: I prioritized deep, non-linear decision trees, which required significantly more front-end logic mapping and testing than standard linear slides.
The Strategic Result: Authentic Skill Transfer. By making the simulation reflect the complexity of a real shift, we ensured that the "mental muscle memory" developed in the app transferred directly to the workplace floor.
The Trade-off: We designed paths where the user must navigate the consequences of a "wrong" choice to progress, which initially felt counter-intuitive to traditional training standards.
The Strategic Result: Resilience. By allowing employees to "fail safely" in the simulation, we significantly reduced the anxiety of real-world failure, leading to higher confidence and fewer errors during live customer interactions.
As the bridge between Anthropology and Product Design, I delivered:
Logic Mapping: Used low-fidelity wireframes to test "social friction" scenarios with veteran employees to ensure the branching logic was realistic.
UX/UI Strategy: Designed a "distraction-free" interface within Articulate that kept the user’s focus entirely on the behavioral decision at hand.
Stakeholder Alignment: Facilitated workshops with Operations to align simulation outcomes with real-world KPIs like service speed and accuracy.
"We stopped asking employees if they understood the manual and started seeing if they could handle the room."
+25% Improvement in employee confidence scores prior to floor entry.
Established a measurable "Readiness Benchmark" that became a requirement for graduation from onboarding.
The modular nature of the branching scenarios allowed the system to be adapted for multiple service lines with minimal rework.
This project reinforced my belief that the best UX accounts for human psychology. When you design for how humans actually react under pressure, you create products that are both empathetic and highly effective.
Next Strategic Move: For a system built on this logic, the next phase would be Predictive Performance Gaps, using the choice-data from the simulation to identify which specific service standards (e.g., "upselling" vs. "conflict resolution") are the most difficult across the entire workforce.