LEARNING DESIGNER
Coaching with the GROW Model
Project at a Glance
Type: Scenario-based eLearning module (Mindsmith)
Audience: Pharmacy managers and team leads looking to improve coaching conversations in fast-paced environments
Goal: Develop coaching skills using the GROW model, with a focus on improving decision-making, prioritisation, and performance under pressure
My Role: End-to-end design & development (storyboarding, scenario design, scripting, interaction design, AI prompting, iteration and refinement)
Tools: Mindsmith, ChatGPT, Figma Colour Palette Generator, Google Docs
Key Features: Story-driven scenario, realistic dialogue, decision-based interactions, live conversation simulation, performance-focused feedback, application of the GROW model in context
The Problem
Coaching conversations in busy pharmacy environments often default to giving quick answers rather than developing independent thinking. Under pressure, managers may step in to solve problems, which can limit long-term performance and ownership within the team.
The imaginary client wanted to strengthen coaching skills across their teams - moving from directive conversations to ones that build confidence, prioritisation, and better decision-making in real-world situations.
The Solution
I designed a short, scenario-based course that places the learner directly into a realistic, high-pressure pharmacy setting. Through guided conversations, learners practise using the GROW model to support a team member without taking over.
The experience focuses on decision-making and dialogue rather than content delivery. Learners respond to realistic prompts, explore different coaching approaches, and receive immediate, supportive feedback that highlights the impact of their choices.
The course ends with a second scenario in a new context, followed by a reflection task that prompts learners to apply their skills to a situation in their own workplace, reinforcing transfer to real-world practice.
Development
The course was developed in Mindsmith, using AI to generate the initial storyboard, structure, core content, and consistent character visuals. I then iterated on this to condense text, improve flow, and strengthen the behavioural focus of the experience.
To capture attention and establish relevance, I began with a story-driven hook - placing the learner into a high-pressure moment in the pharmacy. This immediately connects the learning to real-world challenges and encourages engagement from the outset.
The experience is built around realistic dialogue and decision points, allowing learners to practise coaching conversations in context. I used features such as the live conversation tile to simulate natural interactions, refining prompts to ensure responses felt flexible and conversational rather than rigid.
Throughout the course, feedback is designed to explain the impact of each choice, reinforcing effective coaching behaviours and supporting reflection. The final scenario provides an opportunity to apply learning in a new situation, helping to strengthen confidence and transfer.
This approach demonstrates how AI can accelerate the initial build, while thoughtful design and iteration are essential to create a meaningful, performance-focused learning experience.