Machine Learning Times
Machine Learning Times

3 weeks ago
Whole Foods is Reportedly Using a Heat Map to Track Stores at Risk of Unionization

Originally published in The Verge, April 20, 2020

The heat map apparently uses more than two dozen different metrics to track which Whole Foods stores may unionize. The heat map focuses on monitoring three main areas: “external risks,” “store risks,” and “team member sentiment,” according to Business Insider.

Here are some examples of “external risks,” reports Business Insider:

Some of the factors that contribute to external risk scores include local union membership size; distance in miles between the store and the closest union; number of charges filed with the National Labor Relations Board alleging labor-law violations; and a “labor incident tracker,” which logs incidents related to organizing and union activity.

Other external factors include the percentage of families within the store’s zip code that fall below the poverty line and the local unemployment rate.

Here are some examples of “store risks”:

Store-risk metrics include average store compensation, average total store sales, and a “diversity index” that represents the racial and ethnic diversity of every store. Stores at higher risk of unionizing have lower diversity and lower employee compensation, as well as higher total store sales and higher rates of workers’ compensation claims, according to the documents.

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