tag:blogger.com,1999:blog-8905731585526179303.post1499470051802319579..comments2023-08-06T05:08:29.693-07:00Comments on McCullick Games: Using Google Events to Track "Fun Rating"pcmccullhttp://www.blogger.com/profile/15581430791247404572noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-8905731585526179303.post-58043005389754824522009-09-11T23:36:39.559-07:002009-09-11T23:36:39.559-07:00I've been working on adding a comment system u...I've been working on adding a comment system using MochiBot to the end of the game. Planning on my next post being how to use MochiBot to get comments from players once I get that working. <br /><br />The variation is interesting, seems like it might be caused by players that are not really into the game tend to stop playing early and rate lower, but I'll keep an eye on those stats to see if they do end up smoothing out some. <br /><br />The fall off is a huge problem with this game. I don't know whether it is just because it is a typing game and I have the wrong audience or if it is just too difficult. So far I haven't had much luck with increasing the player retention on this game compared to my Fishing Girl game. The great thing about using goals versus using events for tracking player fall off is with the goals I can see if the player just quit or if they lost.pcmccullhttps://www.blogger.com/profile/15581430791247404572noreply@blogger.comtag:blogger.com,1999:blog-8905731585526179303.post-70603112915404156502009-09-11T20:55:46.266-07:002009-09-11T20:55:46.266-07:00This is great stuff. Another reference to add to t...This is great stuff. Another reference to add to the Love Letter! <br /><br />On thing we have in Bunni is to also have a field after they've rated the game where they can offer a comment. Not sure how you'd store that, but it can help you dig in deeper in why they are rating the game the way they are. <br /><br />Something to watch out for: We saw lots of variation in rating initially as well. However, some of that is due to sampling error that comes from a small sample. As the number of users increases, I'd expect to see those numbers smooth out a bit...unless each level is indeed distinctly different from one another. <br /><br />The other use of these numbers is to track retention. Look at the fall off from level to level.Daniel Cookhttps://www.blogger.com/profile/10437870541630835660noreply@blogger.com