At Team 4914, in order to successfully select other teams to form an alliance, we first collect competition data about the performance of team's other robots during qualification matches with scouting. For each robotics competition that we attend, we divide scouting into two distinct groups: match scouting and pit scouting. Match scouting is when each member focuses on one robot and records data about that specific team's robot during qualification matches. On the other hand, pit scouting is when members collect data for other team's robots that may not be easily obtained by just watching a qualification match. Some information that can be important to obtain during pit scouting includes the drive train type (number of wheels, type of wheels, motors), different functionalities (various scoring methods, end game capabilities, defense) and robot issues during matches (electrical issues, the loss of communication in the driver's station, weak mechanical structural parts).

We have divided scouting into two groups because this allows us to collect theoretical data as well as real-time competition data about the other team's robots for the Alliance Selection process. After collecting data regarding different teams, we would quantify and analyze the competition data that we collected in order to choose the teams who can greatly contribute to our alliance's strategy. Depending on the tasks that our team performs best at, we would select teams who can effectively complete other tasks so that our alliance can maximize the total number of points that we score.