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CoCo- The Coaching Collaborator

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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.

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About

  • Audience: Global people managers

  • Format: AI-enabled coaching simulation

  • Role: Concept creator, learning architect, and design lead

  • 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

  • Managers lacked safe spaces to practice performance conversations

  • Coaching skills were discussed but not rehearsed

  • High-stakes conversations increased anxiety and avoidance

  • 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:

  • Providing realistic, conversational practice scenarios

  • Allowing managers to rehearse responses and receive feedback

  • Supporting repeated practice without judgment or risk

  • 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:

  • Concept development and learning strategy

  • Instructional design for AI-driven practice scenarios

  • Prompt and experience design for coaching simulations

  • Alignment to performance and manager enablement goals

  • 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:

  • Practice over content consumption

  • Immediate application and feedback loops

  • Psychological safety for skill rehearsal

  • Scenario-based learning aligned to real manager challenges

  • 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:

  • Scenario-based coaching prompts

  • Conversational interaction with AI

  • Opportunities for reflection and iteration

  • 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:

  • Introducing AI as a practical learning tool—not a novelty

  • Increasing access to coaching practice opportunities

  • Supporting manager confidence ahead of real performance conversations

  • Demonstrating how emerging technologies can enhance learning effectiveness

What This Demonstrates

This project demonstrates my ability to:

  • Apply AI intentionally to learning and performance challenges

  • Design innovative learning experiences grounded in adult learning theory

  • Translate emerging technologies into practical, scalable solutions

  • Balance experimentation with rigor and learning outcomes

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