My climate product experience includes a carbon-calculator and donation app, plus an educational mobile game. That work informs a focused approach to climate apps: clarify the user action, make feedback understandable and decide where AI would serve a real need.
A climate-action donation and carbon-calculator app helping users track and offset their carbon footprint. Its product context centres on calculations, user understanding and the path to action.
View My Forest Child on the App Store (opens in a new tab)A mobile game using challenges and educational content to raise awareness of climate change. It adds an interactive learning and engagement perspective to the portfolio.
View Climate Wars on the App Store (opens in a new tab)Explore the climate projects in the portfolio. For a separate example of delivered AI product work, read the RankForge content-platform case study.
Define the action the product should help someone take: understand a calculation, make a donation or learn through an interactive activity. Map the friction in that journey.
Work through how assumptions, inputs and results are explained. Agree the feedback a user needs to understand what the product is telling them.
Assess a specific workflow and its data before deciding where AI fits. Define the expected output, review process and the criteria for a useful experience.
Sequence a focused release around the user journey and the team’s capacity. Make domain assumptions and decisions visible in the backlog and acceptance criteria.
A personal project showing scope, mobile controls, onboarding and recovery decisions, created with AI assistance.
A personal game showing match scope, player feedback and keyboard and touch input decisions, created with AI assistance.
Share the users, intended action and product challenge. We can assess the scope and the team expertise the work needs.