Terra.do — AI-Powered Climate Course Builder

Terra.do — AI-Powered Climate Course Builder

Client:

Platform:

LMS / Course Creation Platform

Scope:

End-to-end product design — research, IA, UX strategy, workflows, UI system, and interaction design

Role:

Lead Product Designer

About

Terra.do is a climate-focused education platform helping professionals transition into climate careers through expert-led programs, workshops, and learning experiences. Their mission is to accelerate climate action by making climate education more accessible and practical.

The project focused on enabling educators and climate specialists to create comprehensive climate courses faster using AI-assisted workflows.

The Challenge

Creating high-quality climate education programs required significant effort from educators and subject matter experts.
We created an AI-powered class builder that could

Help teachers create climate courses efficiently

Blend manual authoring with AI-assisted generation

Simplify complex course structures

Maintain educator control and flexibility

Support both beginners and climate professionals

The discovery phase focused on understanding

How educators currently structure courses

Opportunities for AI intervention without reducing creative control

Pain points in lesson creation

Support both beginners and climate professionals

Mental models around curriculum building

Key Findings

Teachers preferred guided workflows over fully automated generation

Users wanted AI assistance to feel collaborative rather than intrusive

Climate education often relied heavily on references, documents, and research material

Course creation required frequent restructuring and iteration

Educators needed clear hierarchy between modules, sections, and lessons

The class builder was divided into four primary segments.

This segmentation helps the user to clearly structure the class with informative way, reducing confusion between the overview and the in detailed content of the class.
Class Overview Setup
Module Structure Builder
Section & Topic-Level Builder
Slide Editor

Structuring of the class builder started with low fidelity layouts.

Core user flows

Editing workflows

AI interaction opportunities

Navigation patterns

Content hierarchy

Overview Setup
Section & Topic Review
Section Slide Manual Edit

The first step focused on defining the foundation of the course.

Users could

Define what the class is about

Specify the target audience

Set course duration and format

Upload supporting documents and references

Add learning objectives and context

Overview Setup

Clear onboarding into the builder

Guided progression

Flexible document upload experience

Structured prompts for AI context generation

Building the high-level curriculum structure.

Educators could:

Create modules

Organize learning sequences

Reorder topics

Generate module suggestions using AI

Expand or refine curriculum direction

Module Structure Builder

Drag-and-drop flexibility

AI recommendations integrated contextually

Easy restructuring

Maintaining visibility of overall course flow

This stage allowed educators to create lessons and educational content inside each module.

Educators could:

Add sections and lessons

Define learning outcomes

Generate topic ideas using AI

Expand lesson content

Refine educational narratives

Section & Topic-Level Builder

Deep editing flexibility

Efficient lesson authoring

Progressive disclosure of complexity

Clear parent-child content relationships

The final stage focused on content presentation and visual editing.

Educators could:

Edit slide content

Add graphics and visuals

Modify layouts

Refine educational storytelling

Generate supporting content using AI

Slide Editor

Simplified editing experience

Low-friction visual customization

Flexible content layouts

Familiar editing patterns for non-designers

A scalable foundation for AI-assisted climate education creation.

Simplified complex curriculum

creation workflows

Enabled faster

course production

Created a collaborative

AI-assisted teaching experience

Reduced friction in educational

content authoring

Improved structure and

consistency

AI access was intentionally made:

The interface enabled users to:

Generate course structures

Summarize uploaded references

Adjust tone and complexity

Refine lesson content

Create slide drafts

This created a balanced human + AI authoring experience.