05 · Cross-cultural collaboration

Making sustainability easier to compare.

Outcome: an app concept that applies shared criteria to company production practices so consumers can make more informed choices.

Criteriastructured rating

AIassisted synthesis

Appconsumer interface

Teamworkacross cultures

Early criteria + app developmentProject documentation

Why

Help consumers see impact behind a product.

The project asks whether clearer production information can support more sustainable purchasing decisions.

How

Translate many factors into a usable rating.

The concept organizes sustainability criteria, gathers company information, and generates a rating explanation in an app.

Tools

Prototype the flow quickly.

MIT App Inventor
Structured rating criteria
Built-in ChatGPT model
Mobile interface design

Contribution

Details still needed.

The final page should name Tony’s exact role, the team structure, and the decisions he personally owned.

Cross-cultural collaboration

The engineering story is not only the app—it is how different perspectives became one scoring system.

This section is intentionally left concise until the team story is documented. The strongest final version will show one specific disagreement, how the team communicated across differences, and what changed in the product because of that exchange.

Overview of Sustainability Impact App — **Problem framing:** help users understand the sustainability of production.

Criteria and App Inventor work — **Prototype evidence:** rating criteria, AI-assisted synthesis, and MIT App Inventor.

Materials needed for the final pageTeam members and countries/cultures represented; Tony’s exact role; one collaboration challenge and resolution; the complete rating criteria; app screenshots or working video; how source reliability was checked.

Future plan

Make every rating traceable—not merely generated.

These are proposed next steps, pending team confirmation.

Define the rubric

Weight criteria transparently and document how the score is calculated.

Cite evidence

Link every company claim to a source and separate missing data from poor performance.

Test across contexts

Ask users from different cultures whether the criteria and explanations feel fair and useful.