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Descriptive Analysis






               Unique user's statistics per checkpoint



               1000
                                                                                                 Uniqueuser pass
                                                                                                 Uniqueuserfail
                                                                                                 Uniqueuserquit
                800

                600


                400


                200

                0
                CP #01 CP #02 CP #03 CP #04 CP #05 CP #06 CP #07 CP #08 CP #09 CP #10 CP #11 CP #12 CP #13 CP #14 CP #15 CP #16 CP #17 CP #18 CP #19 CP #20 CP #21 CP #22 CP #23 CP #24 CP #25 CP #26 CP #27 CP #28 CP #29 CP #30
                Here  again,  nothing  really  striking  is  happening.  The  pass  rate  is

                decreasing,  but  nothing  really dramatic.  We  can  observe  some
                interesting spikes of failing and quits near the beginning which could
                be  problematic  this  early  in  the  game.  We  will  probably  have  to
                investigate  the  first  checkpoints  more  thoroughly  to  be  sure  that
                nothing is happening behind the scene.

               The need to create  the User% drop rate




                Our  original  dataset  does  not  have  enough  information  to  clearly
                pinpoint  a  progression  issue.  At  best  we  saw  that  there  could  be  a
                potential  problem  at  the  beginning  or  after  checkpoint  #14.  Let's
                create the User% drop rate to have a better picture.


               0,18
                                                                                               %UserDelta
               0,16
               0,14
               0,12
               0,1
               0,08
               0,06
               0,04
               0,02
                0
               CP #01 CP #02 CP #03 CP #04 CP #05 CP #06 CP #07 CP #08 CP #09 CP #10 CP #11 CP #12 CP #13 CP #14 CP #15 CP #16 CP #17 CP #18 CP #19 CP #20 CP #21 CP #22 CP #23 CP #24 CP #25 CP #26 CP #27 CP #28 CP #29 CP #30
                Yes, no doubt anymore, it seems that the checkpoints #3 is user killer.

                This graph shows that we are making our users flee way too fast and
                in too large number. Something's wrong with the first checkpoints.

                Our goal now, will be to determine if the drop rate of checkpoint #3 is
                more  impactful  than  the  skyrocketing  amount  of  fails  of  checkpoint
                #14. We will have to go deeper in analysis to find out.
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