CoCo- The Coaching Collaborator
AI-Enabled Performance Coaching Simulation
An AI-powered coaching practice experience designed to help managers build confidence and skill in performance conversations through safe, repeatable practice.
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CoCo (Coaching Collaborator) introduced AI as a learning accelerator, not a replacement—giving managers a low-risk way to practice difficult conversations before having them in real life.

About
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Audience: Global people managers
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Format: AI-enabled coaching simulation
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Role: Concept creator, learning architect, and design lead
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Focus: Practice, confidence-building, and behavior change
Context
Audience
People managers responsible for delivering feedback, coaching performance, and navigating complex employee conversations.
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Business Need
Managers were expected to coach effectively, yet many lacked opportunities to practice performance conversations in a safe environment. Traditional training provided guidance but limited rehearsal, resulting in anxiety, avoidance, or inconsistent execution in real conversations.
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Problem
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Managers lacked safe spaces to practice performance conversations
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Coaching skills were discussed but not rehearsed
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High-stakes conversations increased anxiety and avoidance
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Traditional learning formats could not simulate real dialogue
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Design challenge: Create a scalable way for managers to practice coaching behaviors before applying them in real situations.
Solution
CoCo – Coaching Collaborator was designed as an AI-powered coaching practice experience.
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The solution focused on:
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Providing realistic, conversational practice scenarios
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Allowing managers to rehearse responses and receive feedback
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Supporting repeated practice without judgment or risk
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Integrating seamlessly into existing performance enablement efforts
Rather than replacing human coaching, CoCo functioned as a practice companion—supporting skill-building through repetition and reflection.
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My Role
I led the creation of CoCo, including:
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Concept development and learning strategy
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Instructional design for AI-driven practice scenarios
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Prompt and experience design for coaching simulations
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Alignment to performance and manager enablement goals
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Iteration based on learning outcomes and manager feedback
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Instructional Design Approach
CoCo was designed using a practice-first instructional design philosophy, grounded in adult learning and behavior change principles.
Key design principles included:
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Practice over content consumption
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Immediate application and feedback loops
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Psychological safety for skill rehearsal
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Scenario-based learning aligned to real manager challenges
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Technology used intentionally to support learning—not novelty
Design question guiding decisions:
“How can managers practice coaching behaviors before they matter most?”
Learning Experience Structure
The CoCo experience was structured to enable repeatable, self-directed practice, including:
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Scenario-based coaching prompts
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Conversational interaction with AI
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Opportunities for reflection and iteration
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Alignment to real-world performance conversations
This structure allowed managers to build confidence through repetition—without scheduling constraints or risk to employee relationships.
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Outcomes & Impact
CoCo expanded the organization’s learning toolkit by:
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Introducing AI as a practical learning tool—not a novelty
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Increasing access to coaching practice opportunities
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Supporting manager confidence ahead of real performance conversations
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Demonstrating how emerging technologies can enhance learning effectiveness
What This Demonstrates
This project demonstrates my ability to:
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Apply AI intentionally to learning and performance challenges
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Design innovative learning experiences grounded in adult learning theory
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Translate emerging technologies into practical, scalable solutions
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Balance experimentation with rigor and learning outcomes
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