Using   visualization   as   an   aid   to   presenting   key   findings   from   a   research   study      Challenge       I   lead   a   corporate   market   research   team ,   and   regularly   meet   with   research   teams   to   discuss   key    findings   and   recommendations   of   the   research   we   conduct .      Market   research   methodologies ,   sample   selections ,   and   weighting   of   data   can   get   complex    quickly .   Moreover ,   we   understand   that   our   stakeholders   have   limitations   in   terms   of   how   much    time   they   can   spend   with   any   one   specific   study ,   and   what   they   expect   in   terms   of   a    deliverable .   Often ,   we   revert   back   to   the   “ Keep   it   Simple ,   Stupid ”   and   “ Tell   me   only   what   I   need    to   know ”   principles   or   mantras .      In   short ,   I   describe   my   challenge   as :   How   do   I   get   stakeholders   to   best   understand   research    findings   and   implications   quickly   and   clearly ?      Selection   &   Application      The   particular   project   I   am   describing   here   was   a   customer   research   study   where   we   were    testing   a   couple   of   different   product   concepts   and   determining   what   variables   ( demographic ,    psychographic ,   and   behavioral )   were   key   determiners   in   what   they   product   needs   are .   For   this    particular   challenge   I   selected   the   visualization   tool / approach .      One   thought   from   the   week   1   video   on   visualization   that   Angela   Meyer   presented   that    particularly   resonated   with   me   was :   “ Visualization   is n’t   about   drawing ;   it   is   actually   about   visual    thinking . ”   Another   came   from   the   subtitle :   “ Make   it   tangible   and   concrete . ”      For   the   conclusion   and   recommendation   portion   of   the   particular   study ,   we   included   a    segmentation   map   based   on   different   demographic   and   behavioral   data   that   described   our   key    findings .       The   software   tool   that   we   were   using ,   allowed   us   the   flexibility   and   intelligence   to   create   a    visual   of   the   segmentation .   The   first   draft   of   the   results   report ,   the   analyst   working   on   the    project   included   the   written   takeaways   but   did   not   include   the   actual   graphic   that   visually    described   the   findings   and   key   differences   between   the   segments .   I   recommended   including    the   graphic   in   the   report   before   it   was   distributed   to   the   team ,   under   the   hypothesis   that   by    having   them   be   able   to   visualize   the   findings   will   likely   get   them   to   understand   the   takeaways    more   quickly   and   more   in‐depth .      Insight       In   the   results   meeting ,   the   team   gravitated   almost   immediately   toward   this    graphic / visualization .   Including   the   visual   graphic   made   a   significant   difference   and   got   the    team   excited   about   the   findings ;   almost   as   if   it   resonated   in   a   way   that   it   would n’t   have    otherwise   without   including   both   the   visual   and   the   explanatory   text .      The   takeaways   clicked   with   the   team ,   in   ways   I   had n’t   seen   before   done   through   bulleted   text .    Almost   as   if   the   team   got   past   the   “ how   do   we   know   this   is   true ”   phase   through   the   visual    display   of   the   data .   The   conversation   quickly   became   about   next   steps   from   a    product / marketing   related   standpoint . 

 Approach      We   will   continue   to   use   this   tool   and   approach   when   and   where   it   makes   sense .   Knowing   how    effective   it   was ,   we   may   start   there   and   include   that   in   the   one   or   two   page   executive    summary .   It   will   also   be   important   that   we   look   to   making   the   visual   as   user‐friendly   and    attractive   as   possible ,   so   that   when   we   share   this   and   talk   about   our   wins   we   can   use   this   in    broader   corporate   presentations .      The   key   takeaway   for   me   reverts   back   to   the   quote   from   Angela   Meyer   about   it   not   being   about    the   drawing   or   graphic   itself ,   but   being   about   how   we   as   humans   process   this   information    differently   ( even   if   it   happens   to   be   the   same   information   in   a   different   format ,   i.e.   text   vs.    visual   description ) . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Using   visualization   as   an   aid   to   presenting   key   findings   from   a   research   study      Challenge       I   lead   a   corporate   market   research   team ,   and   regularly   meet   with   research   teams   to   discuss   key    findings   and   recommendations   of   the   research   we   conduct .      Market   research   methodologies ,   sample   selections ,   and   weighting   of   data   can   get   complex    quickly .   Moreover ,   we   understand   that   our   stakeholders   have   limitations   in   terms   of   how   much    time   they   can   spend   with   any   one   specific   study ,   and   what   they   expect   in   terms   of   a    deliverable .   Often ,   we   revert   back   to   the   “ Keep   it   Simple ,   Stupid ”   and   “ Tell   me   only   what   I   need    to   know ”   principles   or   mantras .      In   short ,   I   describe   my   challenge   as :   How   do   I   get   stakeholders   to   best   understand   research    findings   and   implications   quickly   and   clearly ?      Selection   &   Application      The   particular   project   I   am   describing   here   was   a   customer   research   study   where   we   were    testing   a   couple   of   different   product   concepts   and   determining   what   variables   ( demographic ,    psychographic ,   and   behavioral )   were   key   determiners   in   what   they   product   needs   are .   For   this    particular   challenge   I   selected   the   visualization   tool / approach .      One   thought   from   the   week   1   video   on   visualization   that   Angela   Meyer   presented   that    particularly   resonated   with   me   was :   “ Visualization   is n’t   about   drawing ;   it   is   actually   about   visual    thinking . ”   Another   came   from   the   subtitle :   “ Make   it   tangible   and   concrete . ”      For   the   conclusion   and   recommendation   portion   of   the   particular   study ,   we   included   a    segmentation   map   based   on   different   demographic   and   behavioral   data   that   described   our   key    findings .       The   software   tool   that   we   were   using ,   allowed   us   the   flexibility   and   intelligence   to   create   a    visual   of   the   segmentation .   The   first   draft   of   the   results   report ,   the   analyst   working   on   the    project   included   the   written   takeaways   but   did   not   include   the   actual   graphic   that   visually    described   the   findings   and   key   differences   between   the   segments .   I   recommended   including    the   graphic   in   the   report   before   it   was   distributed   to   the   team ,   under   the   hypothesis   that   by    having   them   be   able   to   visualize   the   findings   will   likely   get   them   to   understand   the   takeaways    more   quickly   and   more   in‐depth .      Insight       In   the   results   meeting ,   the   team   gravitated   almost   immediately   toward   this    graphic / visualization .   Including   the   visual   graphic   made   a   significant   difference   and   got   the    team   excited   about   the   findings ;   almost   as   if   it   resonated   in   a   way   that   it   would n’t   have    otherwise   without   including   both   the   visual   and   the   explanatory   text .      The   takeaways   clicked   with   the   team ,   in   ways   I   had n’t   seen   before   done   through   bulleted   text .    Almost   as   if   the   team   got   past   the   “ how   do   we   know   this   is   true ”   phase   through   the   visual    display   of   the   data .   The   conversation   quickly   became   about   next   steps   from   a    product / marketing   related   standpoint . 

 Approach      We   will   continue   to   use   this   tool   and   approach   when   and   where   it   makes   sense .   Knowing   how    effective   it   was ,   we   may   start   there   and   include   that   in   the   one   or   two   page   executive    summary .   It   will   also   be   important   that   we   look   to   making   the   visual   as   user‐friendly   and    attractive   as   possible ,   so   that   when   we   share   this   and   talk   about   our   wins   we   can   use   this   in    broader   corporate   presentations .      The   key   takeaway   for   me   reverts   back   to   the   quote   from   Angela   Meyer   about   it   not   being   about    the   drawing   or   graphic   itself ,   but   being   about   how   we   as   humans   process   this   information    differently   ( even   if   it   happens   to   be   the   same   information   in   a   different   format ,   i.e.   text   vs.    visual   description ) .
### Output: 