Feedback that fuels growth - Microlearning module
Overview
A short, interactive learning module designed to help professionals give clearer, more constructive feedback.
I approached this as a behavioural skill challenge - designing a simple, repeatable structure that helps people move from vague feedback to clear, actionable conversations.
View the module
Responsibilities
Articulate Rise 360, Figma, ChatGPT
Collaborators
5-minute microlearning module
Timeline
1 week
Module header image establishing the tone - simple, direct, and focused on real workplace conversations.
The challenge
Most people know feedback matters, but many still struggle to give it well. It often ends up vague, uncomfortable, or overly personal.
This module helps learners identify what makes feedback effective and apply a simple, repeatable structure.
High-level flow showing how the module guides learners from reflection → concept → practice → application
My approach
1. Define the learning goal
Narrowed the focus to a single behaviour: giving clearer, more actionable feedback.
2. Designed a simple learning flow
Structured the module around reflection → concept → practice → application, keeping each section short, skimmable, and easy to follow.
Early design decisions were lightly guided by Gagné’s principles - starting with attention-grabbers, breaking concepts into small steps, and reinforcing learning through quick practice activities.
3. Built for clarity and speed
Storyboarded in Figma, then built in Rise using interactive blocks. Visuals kept flat and minimal to align with my design style and reduce cognitive load.
Storyboard used to define pacing, chunking, and transitions before building the module
Early action mapping to identify behaviours, misconceptions, and practice opportunities. This evolved into a tighter flow focused on clarity and quick application.
The solution
The final module is a clear, 5-minute experience that moves quickly from reflection → concept → real-world scenarios, without overwhelming the learner.
The tone is practical and human, with minimal ornamentation to keep attention on the core skill.
Interaction inviting learners to spot vague vs specific feedback - designed to build quick pattern recognition
Knowledge check using an applied scenario to reinforce the 3-step method
Early concept showing how the core framework and next steps are reinforced at the end of the module.
Results & reflection
Early testers noted the structure felt clear and approachable. The project reinforced the importance of pacing, framing content as decisions (not slides), and designing for quick application.
Next steps
Plan to extend this into a series - “Receiving Feedback Well” and “Using AI Responsibly at Work” - to build a broader foundation for communication and team skills.
Email me
katherinemcg@gmail.com
Find me on LinkedIn
linkedin.com/in/katherinemcg