<aside> 🏢 Organization During the spring of 2020, Wal-Mart issued a set of sustainability themed challenge statements for the technology team to work on in an internal hackathon.
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<aside> ⚙️ Project
Productive Produce Prediction Using open weather data (from NOAA) and structural knowledge of growing location-to-QC associations, predict if an increase or decrease in rejections at a QC check can be expected given the magnitude of certain extreme weather events.
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<aside> 🏁 Objective I performed discovery into the technical assumptions underlying the theory of change, while colleagues worked on developing the predictive model.
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<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/3be610b1-9157-4697-bade-627947f71184/jh-logo-green.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/3be610b1-9157-4697-bade-627947f71184/jh-logo-green.png" width="40px" /> My Role Strategy Lead
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<aside> 👩👩👦👦 Team 2x Data Analysts 1x Front-end Developer
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| Activity | Outcome |
|---|---|
| Stakeholder interviews: internal supply chain SMEs, food & grocery business analysts | Understand the business’s viewpoint of the produce waste problem & define its magnitude |
| Read white papers on weather data, technology and farming. Spoke to a climate data expert, my permaculture teacher | Get SME perspective on climate data and farmers |
| Data visualization in keynote | Present the discovery findings and orient the problem in a new light |
| Business Model Design | Orient towards a shared value solution where technology was built into farmland and farm businesses themselves. |
A full mural board capturing the research that went into problem discovery & definitoin.