Page 444 - Ray Dalio - Principles
P. 444

case study pauses and asks them for their own thinking on the
                       matter at hand. In some cases, they input their reactions in real
                       time as they watch. Their thinking is recorded and compared

                       with others’ using expert systems that help us all understand
                       more about how we think. With this information, we can better
                       tailor their learning and their job assignments to their thinking
                       styles.

                          That is just one example of a number of tools and protocols
                       we have developed to help our people learn and operate by our
                       principles.


                       b.  Use  tools  to  collect  data  and  process  it  into  conclusions  and  actions.
                       Imagine that virtually everything important going on in your
                       company  can  be  captured  as  data,  and  that  you  can  build
                       algorithms  to  instruct  the  computer,  as  you  would  instruct  a
                       person, to analyze that data and use it in the way you agreed it
                       should  be  used.  In  that  way,  you  and  the  computer  on  your
                       behalf could look at each person and all the people together

                       and provide tailored guidance, just like your GPS provides you
                       guidance by knowing all the traffic patterns and routes. You
                       don’t  have  to  make  it  mandatory  to  follow  that  guidance,
                       though you can. Generally speaking, the system operates like a
                       coach.  And  the  coach  can  learn  about  its  team:  Data  is
                       collected  about  what  people  do  so  that  if  they  make  more
                       insightful moves or less insightful moves, learning will occur

                       and  be  used  to  create  improvements.  Because  the  thinking
                       behind  the  algorithms  is  available  to  everyone,  anyone  can
                       assess the quality of the logic and its fairness, and have a hand
                       in shaping it.


                       c. Foster an environment of confidence and fairness by having clearly-stated
                       principles that are implemented in tools and protocols so that the conclusions
                       reached can be assessed by tracking the logic and data behind them. In all

                       organizations,  it’s  always  the  case  that  some  of  the  people
                       judged  to  be  ineffective  will  argue  that  those  judgments  are
                       wrong.  When  that  happens,  a  data-  and  rules-based  system
                       with  clearly  laid-out  criteria  allows  less  room  for  such
                       arguments and greater belief that the system is fair. Though the

                       system  won’t  be  perfect,  it  is  much  less  arbitrary—and  can
                       much more easily be examined for bias—than the much less
                       specified and much less open decision making of individuals
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