Customer Comeback: Simulation Training

Project Overview

This microlearning simulation helps customer service representatives practice responding to frustrated customers after a service failure. Learners move through a branching scenario that simulates a real customer conversation. At key moments, they choose how to respond and see how their decisions affect the outcome of the interaction.

The goal is to help employees practice de-escalation, empathy, and customer recovery skills in a safe environment before they face these situations with real customers.

Business Problem

Many organizations invest heavily in attracting customers but spend far less time training employees on how to handle difficult service interactions. When employees are unprepared for emotionally charged conversations, it can lead to:

• Customer churn

• Negative brand perception

• Escalated complaints

Customer recovery moments are critical. A single interaction can determine whether a customer stays loyal or leaves. This project explores how scenario-based learning can help employees practice handling these moments before they happen with real customers.

My Role

Learning Architect and Learning Experience Designer

I was responsible for:

• Designing the learning experience

• Creating the scenario structure and decision paths

• Writing dialogue and feedback

• Using AI tools to prototype the course quickly

My Design Process & AI-Assisted Workflow

For this project, I wanted to show how AI tools can speed up course development while still following solid instructional design practices.

My process:

1. I identified the business problem and common customer service failure points

2. Used ChatGPT generate initial course framework and storyboard

3. Used Mindsmith AI to design scenario flow and decision branches

4. I refined dialogue and feedback for realism

5. Used Mindsmith AI to rapidly prototype the course

6. I aligned the experience with customer experience best practices.

This workflow allowed me to move quickly from concept to working prototype. The final experience was refined through human-centered design and scenario development.

Learning Strategy

Customer recovery skills require practice, not just information. This course uses scenario-based learning so learners can practice responding to difficult situations in a realistic environment. Each choice changes how the conversation unfolds, leading to different outcomes such as customer recovery, escalation, or churn.

Throughout the simulation, learners make decisions about how to:

• Acknowledging frustration

• Explaining solutions

• Preventing customer churn

Design Highlights

1. Branching scenario design with multiple scenario outcomes

2. Realistic customer dialogue in a realistic workplace setting

3. Progressive decision complexity and realistic workplace outcomes

4. Customer empathy coaching feedback after decisions

5. Consequences of behavior and learning through experience

Scenario Architecture

Images coming soon!

Development

Images coming soon!

Solution

The final product is a short interactive simulation where learners navigate a difficult customer interaction and practice recovery strategies. To make the experience easy to review, I included:

• A 90-second video walkthrough

• A clickable prototype