#playerchurn

Exploring the Bartle test was fun and conflicting as I found some of the answers challenging because i like both the options equally. In the end I was heavily skewed to the Explorer style of game play. This seem to play out for all of the blogs I read for this assignment week. After reading the additional materials, I believe that the Bartle test was a great start especially for MUD type games, however a majority of gamers play games of a different architecture and as such the classification should evolve to meet the characteristics of these player groups as well. How cool would it be to be part of creating a relevant Bartle 2.0 type test that could organize gamer characteristic/attributes/ similar to what Pandora or Spotify does for music. This would allow for complex collaborative combinations based on profiles of gamer play styles.  But is that really the goal?  Should we be using better user analytics to build super teams?  Yes we want to create compelling game the minimize “player churn” is it going to far to preselect based on a criteria? Or is understanding our fellow players motivations more powerful for the achieving the learning goal?

World champ MUD game platform as recommended by Bartle himself:

https://www.achaea.com