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.
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.
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.
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
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.
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.
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.
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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