Manufacture 2030

Supply chain analytics dashboard

A promise of the Manufacture 2030 platform (M2030), is that it helps corporations to capture and analyse the environmental impact of their global supply chain; and provide actionable insights to help plan future improvements. To this end we revisited an MVP development of the M2030 analytic platform to improve usability and to design new, useful analytics.

Image
My role
  • Information architecture
  • User interface design
  • User research
  • Prototyping
  • Usability testing
Results summary (As of Feb 2025)
  • Improved users satisfaction
  • Better coverage of user needs
  • Better foundation for future additions

Project goal

In revisiting the M2030 analytics platform, the goal is to leverage on lessons learned from the initial MVP implementation, and make improvements to the usability of the analytics platform, as well as provide users with additional relevant insights.

Learning from the MVP

Over the lifetime of the MVP platform, we gathered feedback from users about their experiences. Also regular catchup with our corporate clients allowed us to learn about their needs in depth. Some key lessons:

Confirming the Personas that actively uses the platform:

  • Sustainability, and Environment, health and safety manager
  • Category manager
  • Procurement manager (As 2nd degrees user, consuming summary from others)

General issues

  1. Reports often feels too complex, and not intuitive to understand.
    • Specific analytics uses non-standard chart types.
    • Some analytics attempted to provide multiple insights, however making the intended value less clear
  2. Uncertainty of data quality of the dashboard.
    • Related to the complexity of some reports...
    • ...and partly attributable to lack of transparency of underlying calculations.

Additional needs

  1. Tracking suppliers participation as a success metric. Particularly seen to be important as many of these supply chain environmental data programs are at an early stage of maturity.
  2. Additional supplier energy consumption analytics. Going beyond broad level CO2e analyses, and enable more detailed hotpot identification in suppliers energy resources.

Reworked designs

Examples of designs from the reworked dashboard:

Whole supply chain CO2e emissions over time.
Supplier data submissions and improvement plans status
‘Glide path’ for suppliers emissions forecast
Data explorer and export.
Suppliers energy consumption breakdown.

Detailed case study