Driven
Reconnaissance
Collect Dozens of Games
We collect, analyze and evaluate games played at different skill levels. Our experts work through a 105 point checklist and use proprietary online tools to quickly add comments and tag notes.
We look at every possible aspect of play, from mechanics, positioning, mouse position, hotkeys, camera control, to advanced strategy, objective control, CS, itemization, etc.
Conduct one-on-one interviews
We engage with a set of random players to discover:
- What they know
- What they don't know
- What they think they need
- What they struggle with
- What holds them back
- What information are they looking for
Consult with top players
We work one-on-one with top League of Legends players to learn about the things gamers need to know in order to be successful.
Our talent roster includes only Master and Challenger level players.
Hold focus groups
We consolidate our data from the game evaluation and our findings from our interviews and consultations to weigh it against public opinion.
We form intimate groups to discuss our preliminary results. This helps us gauge the importance of specific aspects and confirm the validity of our general direction.
Host coaching sessions
Together with a selection of top players, we observe gamers at different skill levels as they complete key challenges. The goal is to test the effectiveness of the coaching. We also want to understand to what degree gamers are self aware of their own strengths and weaknesses.
Obtaining insights to improve the alignment of coach and gamer is essential to the effectiveness of our resulting course ware.
Iterative Testing
We constantly iterate on the information we teach to ensure it's optimal for your improvement. We do this by working with dozens of real players. For instance we might works with a group of players that talk about how they never know exactly when they should trade and when they should farm.
We analyze their games with a group of top players and identify key principles that the players are missing. We then figure out how to teach these principles. Many of the initial principles we come up with aren’t right and they don’t help the players improve, principles also tend to break down when they meet the messiness of real games. We evolve the principles until they actually help players significantly improve and they can be remembered and applied by normal people in real game scenarios.