Peregrine

Peregrine is a scouting app I developed 2018-2019 with Caleb Eby and Brendan Burkhart. Brendan and Caleb kicked off the project, choosing a stack of Go, SQLite, and React. When I joined the team, about a week into development, I jumped straight into the project. I already loved Go, and now there was a chance for me to create something useful with it, with some awesome people! I started working on it the very night I was introduced to it, without a solid grasp on what scouting even was, to be honest. We worked tirelessly on the app for the next few months, and used it in competitions that season. It proved much more effective than paper scouting, allowing easier scouting, easier analysis, and an all around better experience. We even experimented with gamification, which proved fairly effective.

What’s scouting, though?

If you know the enemy and know yourself, you need not fear the result of a hundred battles.

– Sun Tzu, The Art of War.

In a FIRST Robotics match, there are 6 robots. Half on the blue alliance, and half on the red alliance. In qualifications, these teams are picked at random. After, however, the top 8 teams get to make their picks, and that’s where it gets interesting. At the 2018 Pacific Northwest District Championship, for example, there were 64 teams, and with all these choices, making the best picks gets really difficult. Your alliance partners often determine the fate of your team in a competition, so it’s crucial to choose wisely.

Most teams fill out paper forms about teams’ performance during qualification matches, maybe enter them into a spreadsheet, and try to make decisions based on those reports. It often leads to picks that have a history of being a good team, or look pretty, but might actually perform well. Teams are forced to make decisions based on qualitative observations, instead of looking at the hard data.

What makes peregrine better?

Peregrine provides scouts with an easier way to submit reports: an organized system on their phones, rather than a disorganized mess of papers. In addition, this takes stress off the scouting lead, allowing them to focus on analyzing data rather than managing a mess of papers. As soon as a match ends and scouts submit their reports, the scouting lead can access charts on how teams perform, view qualitative observations about teams, and even a big-ol spreadsheet if they’re so inclined.

This allows our team to make more informed, bias-free decisions. We can say with confidence that team x is the best team at a competition at doing y. We can analyze teams performance throughout a competition to see if they’re regressing or improving. We can tell our drive team what their alliance partners are best at, and what their enemies’ weaknesses are.

What’s next?

We’re working on a rewrite of the app this year that will allow other teams to use our app without hosting their own instance. It’ll also have an improved UX for both scouts and scouting leads. I’ve learned a lot from my internship at Billups, and Caleb Eby (the main frontend developer) has learned a lot from his internship at Cloud4, so get excited about the new app; we sure are.