Tanner and the data team developed a process that aggregated and synthesized various metrics to target voting populations according to the most recent Election Day voting data. The process included analyzing person-level projected turnout data, demographic data, and projected Democratic support data across various ethnic voting groups such as the BIPOC and Hispanic communities. Once this process was completed, Tanner rank-ordered every polling location’s individualized data by those metrics and included manual flags for polling locations identified as tribal and university locations. Once completed, Tanner also visualized the locations and their ranks in Google Maps which helped tie the entire process together.
Using the ranking and projected metrics Tanner and his team provided, the Voter Protection Program was able to identify roughly 600 priority polling locations across the state which resulted in over 1,000 poll watcher deployments. The program was also able to deploy more than 100 Spanish-speaking volunteers to locations Tanner’s team flagged as likely having a higher rate of Spanish speaking voters. The Wisconsin Coordinated Campaign ultimately won the state by a margin of just 20,000 votes.