This project was made during the Deloitte Spark Hackathon 2026. The brief from Deloitte and WWF was to combine open data with the tech of tomorrow, to create a digital product that makes the planet's vital signs visible and truly actionable.
During the weekend our team came up with a solution: Foodprint.
Foodprint, utilizes three different datasets: Open Food Facts, Agribalyse and WWF's köttguiden. Using elements like gamification, nudging and social accountability it gives the user an opportunity to understand and make an actual change in their food habits.
Tools and techniques
Brainstorming, crazy 8, pain points, Figma and cursor AI.
Duration
14th - 15th March 2026
We started of by mapping out the brief. Writing down the problem, user, why it matters etc. Then we research different areas of the problem like; food, wildlife, freshwater, forests and climate. The team discussed the information each had gathered on the different problem areas and decided on food.
The next step was to write down different pain points to the problem area. This was done together in a brainstorming session.
When the pain point were gathered we started the idea generation by utilizing the crazy 8 - method. The post its were then gathered and sorted in different categories.
- Graphic element, like a tree growing
- Each member gets a bigger land area with each positive action
- See how much difference your team has made
- Show how much CO2 all users of the app has saved together
- Challenges to do together with your friends
Educational
- Show alternatives to a product with a lower CO2 footprint
- Explain why the challenge is important
After completing the Crazy 8s exercise, we had a clearer idea of the app’s structure and key features. We moved to the whiteboard to map out initial frames and explore different directions.
We developed two main concepts: one focused on habit-building using geolocation, and another centered around food choices and challenges. Considering the limited timeframe of the project, we chose to move forward with the latter.
We created a flowchart to map the user journey and define core interactions.
Once the flows were defined, I translated the whiteboard sketches into low-fidelity wireframes in Figma to better understand the structure and layout before implementing the app’s data and functionality.
After establishing the wireframes, we began exploring implementation by using AI tools (Cursor) to prototype a functional version of the app.
The final product
Start - your impact:
Your environmental impact displayed in a growing three.
Your CO2 footprint explained in easy to grasp terms.
Tracking a streak of how much you've contributed.
Challenges:
Gain XP by completing a challange.
See what your friends & family have done.
Scanned product:
The scanned product displays the different nutrition scores and CO2 emissions.
A more environmentally friendly alternative is displayed.