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Market Research
 A complexity approach using
       SenseMakerTM




                          FEBRUARY 2010
 “There	
  is	
  nothing	
  like	
  looking,	
  if	
  you	
  want	
  to	
  5ind	
  something.	
  You	
  certainly	
  
                                        usually	
  5ind	
  something,	
  if	
  you	
  look,	
  but	
  it	
  is	
  not	
  always	
  quite	
  the	
  something	
  
                                        you	
  were	
  after.”	
  	
  - J.R.R. Tolkien




      	
  A complexity approach to market research
      The	
  business	
  environments	
  of	
  the	
  21st	
  Century	
  are	
  shaping	
  up	
  to	
  be	
  radically	
  different	
  to	
  those	
  
      many	
  of	
  us	
  have	
  experienced	
  previously.	
  Recent	
  market	
  shaping	
  events	
  such	
  as	
  the	
  Global	
  
      Financial	
  Crisis	
  were	
  not	
  widely	
  foreseen	
  and	
  who	
  is	
  to	
  say	
  that	
  an	
  unprecedented	
  events	
  such	
  as	
  
      these	
  will	
  not	
  happen	
  again?	
  As	
  we	
  enter	
  the	
  second	
  decade	
  of	
  a	
  new	
  century,	
  the	
  pace	
  of	
  change	
  
      will	
  only	
  conJnue	
  to	
  accelerate	
  with	
  the	
  scale	
  and	
  scope	
  of	
  informaJon	
  available	
  to	
  assist	
  decision	
  
      makers	
  only	
  growing	
  in	
  defiance	
  of	
  comprehension.	
  Market	
  Research	
  in	
  this	
  environment	
  needs	
  to	
  
      embrace	
  a	
  toolkit	
  that	
  allows	
  companies	
  and	
  business	
  alike	
  to	
  understand	
  the	
  complexity	
  that	
  they	
  
      deal	
  with	
  on	
  a	
  daily	
  basis	
  in	
  order	
  to	
  make	
  effecJve	
  decisions.

      A	
  complexity	
  approach	
  to	
  market	
  research	
  has	
  been	
  derived	
  from	
  the	
  science	
  of	
  Complex	
  AdapJve 	
  
      Systems,	
  where	
  the	
  nature	
  of	
  a	
  complex	
  system	
  is	
  such	
  that	
  there	
  is	
  no	
  one	
  right	
  answer.	
  There	
  are 	
  
      range	
  of	
  possibiliJes	
  and	
  opJons	
  due	
  to	
  the	
  myriad	
  of	
  factors	
  that	
  could	
  determine	
  cause	
  and	
  
      effect.	
  Complex	
  systems	
  are	
  by	
  their	
  very	
  nature	
  emergent,	
  and	
  the	
  challenge	
  with	
  market	
  
      research	
  in	
  this	
  environment	
  is	
  be	
  able	
  to	
  understand	
  the	
  emergent	
  properJes	
  of	
  complex	
  systems	
  	
  
      that	
  allow	
  decision	
  makers	
  to	
  make	
  informed	
  decisions	
  and	
  monitor	
  impact	
  over	
  Jme.




	
  “Changing	
  the	
  way	
  we	
  measure	
  things	
  is	
  vital.	
  So	
  is	
  decompartmentalising	
  
society	
  -­	
  making	
  sure	
  that	
  economics	
  and	
  politics	
  are	
  not	
  divorced	
  from	
  
other	
  crucial	
  areas	
  of	
  life”	
  	
  	
  - David Attenborough




	

                                                                                                                                                                   Page 2
SenseMakerTM - designed to support narrative-based research
and decision making


                                                 	
  A	
  natural	
  and	
  intuitive	
  approach	
  to	
  gaining	
  multiple	
  perspectives	
  
                                                 and	
  new	
  insights	
  into	
  complex	
  problems	
  that	
  have	
  until	
  now	
  
                                                 proved	
  to	
  be	
  intractable	
  for	
  both	
  strategic	
  management	
  methods	
  
                                                 and	
  software




 The	
  CogniJve	
  Edge	
  SenseMaker	
  SoNware	
  Suite,	
  is	
  fully	
  integrated	
  with	
  a	
  body	
  of	
  facilitated	
  
 processes,	
  is	
  the	
  outcome	
  of	
  several	
  years	
  of	
  research	
  into	
  human-­‐based	
  organizaJonal	
  
 complexity,	
  sensemaking,	
  decision-­‐making,	
  knowledge	
  sharing	
  and	
  impact	
  evaluaJon	
  by	
  
 CogniJve	
  Edge.

 It	
  provides	
  a	
  natural	
  and	
  intuiJve	
  approach	
  to	
  gaining	
  mulJple	
  perspecJves	
  and	
  new	
  insights	
  
 into	
  complex	
  problems	
  that	
  have	
  hitherto	
  proved	
  intractable	
  for	
  both	
  strategic	
  management	
  
 methods	
  and	
  soNware.

 The	
  SenseMaker	
  SoNware	
  Suite	
  has	
  been	
  used	
  to	
  address	
  complex	
  issues	
  associated	
  with:

 •	
        Making	
  decisions	
  in	
  inherently	
  complex	
  environments;	
  

 •	
        Assessing	
  the	
  intelligence	
  available	
  on	
  compeJJve	
  actors	
  and	
  their	
  strategies;	
  

 •	
        Developing	
  leaders	
  who	
  can	
  adapt	
  to	
  constant	
  change;	
  

 •	
        Managing	
  knowledge	
  that	
  is	
  criJcal	
  to	
  their	
  business;	
  

 •	
        EvaluaJon	
  of	
  impact	
  of	
  iniJaJves	
  and	
  

 •	
        Assessing	
  customer	
  saJsfacJon	
  and	
  employee	
  morale.

 Large	
  amounts	
  of	
  unstructured	
  data	
  are	
  used,	
  such	
  as	
  peoples	
  experiences	
  and	
  responses	
  to	
  
 prompJng	
  material,	
  news	
  arJcles,	
  blog	
  entries,	
  and	
  pictures,	
  where	
  the	
  way	
  in	
  which	
  these	
  are	
  
 tagged	
  enables	
  the	
  idenJficaJon	
  and	
  analysis	
  of	
  paWerns.	
  	
  TradiJonal	
  staJsJcal	
  analysis	
  is	
  also	
  
 available.

 Current	
  esJmates	
  are	
  that	
  the	
  cost	
  is	
  in	
  the	
  range	
  of	
  20-­‐25%	
  of	
  more	
  tradiJonal	
  survey	
  
 approaches.	
  	
  AddiJonal	
  benefits	
  are	
  that	
  the	
  source	
  data	
  remains	
  the	
  property	
  of	
  the	
  client	
  
 organisaJon,	
  the	
  skills	
  for	
  analysis	
  and	
  interpretaJon	
  are	
  transferred,	
  and	
  the	
  date/Jme	
  
 stamping	
  enables	
  tracking	
  of	
  trends	
  and	
  changes	
  -­‐	
  small	
  and	
  large.


 “There	
  is	
  no	
  difference	
  between	
  a	
  terrorist,	
  a	
  citizen,	
  an	
  employee	
  and	
  a	
  
 consumer	
  –	
  all	
  represent	
  the	
  problem	
  of	
  asymmetry	
  in	
  which	
  an	
  
 organisation	
  has	
  to	
  understand	
  multiple	
  interactions	
  and	
  decision	
  from	
  
 large	
  populations	
  which	
  cannot	
  be	
  predicted	
  or	
  controlled	
  by	
  that	
  
 organisation.”	
  	
  	
  - Cognitive Edge




	

                                                                                                                                                  Page 3
Emerging	
  OpJons	
  uses	
  SenseMakerTM	
  to	
  capture	
  large	
  volumes	
  of	
  narraJve	
  with	
  respect	
  to	
  
      the	
  specific	
  area	
  under	
  consideraJon.	
  	
  Literally	
  thousands	
  of	
  stories,	
  anecdotes,	
  pictures,	
  
      arJcles,	
  verbal	
  records	
  and	
  much	
  more,	
  can	
  be	
  captured	
  at	
  a	
  minimal	
  cost.	
  Those	
  who	
  
      provide	
  the	
  stories	
  or	
  submit	
  other	
  sense	
  making	
  material	
  answer	
  a	
  number	
  of	
  quesJons	
  
      that	
  provide	
  the	
  indexing	
  criteria,	
  and	
  subsequent	
  reporJng.	
  Indexing	
  is	
  customised	
  to	
  meet	
  
      the	
  needs	
  of	
  the	
  research,	
  and	
  central	
  to	
  the	
  CogniJve	
  Edge	
  Sense	
  Making	
  soNware’s	
  ability	
  
      to	
  shown	
  paWerns	
  that	
  could	
  uncover	
  emerging	
  trends,	
  issues	
  or	
  insights	
  that	
  are	
  not	
  readily	
  
      apparent	
  with	
  tradiJonal	
  methods	
  of	
  data	
  interrogaJon.

      SenseMakerTM	
  will	
  allow	
  for	
  the	
  uncovering	
  of	
  paWerns	
  in	
  the	
  complex	
  issue	
  being	
  
      invesJgated.	
  The	
  dataset	
  collected,	
  will	
  also	
  form	
  the	
  basis	
  for	
  the	
  ongoing	
  benchmarking	
  of	
  
      idenJfied	
  insights	
  and	
  drivers	
  moving	
  forward.

      The	
  kind	
  of	
  complex	
  organic	
  database	
  created,	
  can	
  help	
  you	
  find	
  out	
  who	
  is	
  saying	
  what,	
  and	
  
      how	
  a	
  challenge	
  or	
  project	
  is	
  being	
  handled.	
  For	
  example,	
  six	
  clicks	
  of	
  a	
  mouse	
  buWon	
  can	
  tell	
  
      you	
  all	
  the	
  stories	
  told	
  by	
  an	
  experienced	
  staff	
  member,	
  facing	
  a	
  crisis,	
  involving	
  deep	
  conflict	
  
      and	
  emoJons,	
  told	
  from	
  their	
  point	
  of	
  view,	
  with	
  the	
  intenJon	
  of	
  teaching.	
  Depending	
  on	
  the	
  
      number	
  of	
  queries	
  you	
  look	
  at,	
  you	
  can	
  narrow	
  or	
  expand	
  your	
  potenJal	
  insight	
  about	
  what	
  
      might	
  be	
  relevant	
  and	
  what	
  might	
  not.



         Benefits	
  of	
  SenseMakerTM:

         •        Ability	
  to	
  allow	
  mul-ple	
  perspec-ves	
  to	
  be	
  visible	
  and	
  recognized	
  -­‐	
  to	
  make	
  the	
  “invisible	
  voices	
  visible”

         •        Ability	
  to	
  value	
  dissent	
  without	
  requiring	
  a>ribu-on	
  of	
  blame

         •        Providing	
  perspec-ves	
  and	
  frameworks	
  that	
  enable	
  people	
  to	
  take	
  ac-on	
  in	
  addressing	
  complex	
  issues

         •        Compliment	
  and	
  work	
  in	
  conjunc-on	
  with	
  exis-ng	
  research	
  tools	
  and	
  processes

         •        The	
  use	
  of	
  narra-ve	
  as	
  a	
  key	
  component	
  of	
  collec-ng	
  and	
  understanding	
  knowledge	
  in	
  context

         •        A	
  founda-on	
  for	
  benchmarking

         •        A	
  bo>om-­‐up	
  approach	
  to	
  iden-fying	
  issues	
  masked	
  through	
  organisa-on	
  hierarchy

         •        A	
  near	
  real	
  -me	
  view	
  of	
  the	
  organisa-on	
  and	
  how	
  it	
  manages	
  complex	
  issues

         •        Making	
  key	
  decisions	
  where	
  to	
  invest	
  scarce	
  research	
  or	
  marke-ng	
  budgets

         •        Gaining	
  compe--ve	
  advantage	
  through	
  deep	
  insights	
  from	
  real	
  people.	
  

         •        Know	
  how	
  customers	
  and	
  compe-tors	
  talk	
  about	
  the	
  issues	
  under	
  considera-on

         •        Iden-fy	
  customer	
  segments	
  and	
  context	
  within	
  which	
  they	
  talk	
  about	
  issues	
  being	
  researched

         •        Formulate	
  targeted	
  marke-ng	
  messages	
  that	
  most	
  resonate	
  with	
  target	
  audience	
  




	

                                                                                                                                                                              Page 4
SenseMakerTM - a look under the covers
   Key	
  to	
  SenseMakerTM	
  is	
  the	
  removal	
  of	
  the	
  role	
  of	
  the	
  “expert”	
  as	
  far	
  as	
  possible.	
  Experts	
  will	
  
   not	
  give	
  opinions	
  as	
  to	
  what	
  people	
  think	
  -­‐	
  this	
  is	
  gathered	
  from	
  real	
  people	
  in	
  the	
  target	
  
   research	
  audience.	
  By	
  recognising	
  that	
  each	
  individual	
  understands	
  their	
  experiences	
  beWer	
  
   than	
  experts,	
  and	
  allowing	
  them	
  to	
  interpret	
  their	
  own	
  material,	
  SenseMakerTM	
  is	
  able	
  to	
  
   provide	
  in-­‐depth	
  quanJtaJve	
  analysis	
  in	
  research	
  areas	
  typically	
  only	
  quanJfied	
  in	
  a	
  
   superficial	
  manner,	
  or	
  covered	
  by	
  qualitaJve	
  research	
  alone.

   SenseMakerTM	
  avoids	
  pre-­‐hypothesis,	
  categorisaJon	
  or	
  pre-­‐determined	
  demographic	
  
   definiJons.	
  The	
  use	
  of	
  emergent	
  research	
  allows	
  the	
  groups	
  to	
  be	
  discovered	
  based	
  on	
  actual 	
  
   characterisJcs.	
  TradiJonal	
  survey	
  techniques,	
  focus	
  groups	
  or	
  standard	
  quesJonnaires	
  are	
  
   not	
  used.	
  By	
  using	
  indirect	
  quesJoning	
  and	
  gathering	
  responses	
  in	
  a	
  narraJve	
  format,	
  we	
  are	
  
   able	
  to	
  probe	
  to	
  a	
  deeper	
  level.	
  The	
  material	
  gathered	
  contains	
  not	
  only	
  the	
  respondents	
  
   experiences,	
  but	
  nuanced	
  insights	
  into	
  their	
  views	
  in	
  the	
  context	
  of	
  real	
  experiences.	
  These	
  
   details	
  enable	
  the	
  content	
  of	
  the	
  responses	
  to	
  be	
  understood.	
  The	
  result	
  is	
  a	
  staJsJcal	
  
   analysis	
  of	
  the	
  paWerns	
  of	
  responses,	
  which	
  can	
  be	
  drilled	
  down	
  into	
  to	
  examine	
  the	
  
   qualitaJve	
  narraJve	
  underneath	
  the	
  numbers.

Summary Statistics for graph: In this story people feel they are
-- Lacking choice X The people in this story could be
described as -- Old ways
                                                                                                                                                                                                     But everything else is great..
Number of items: 36
                                                                                                                                                                                                     If your lucky you'll get a competent supervisor. If
~~~~~ X axis (In this story people feel they are -- Lacking
choice)                                                                                                                                                                                              not you can end up with someone who doesn't do
                                                                   Frustrated &"                                                                                                                     their job but will always appear to others that they
Mean: 68.6667                                                      powerless!                                                                                                                        are helpful and hard working. They will take credit
Median: 79.5
25th percentile: 36.25
                                                                                                                                                                                                     for your hard work and even put their name to it.
75th percentile: 97.75                                                                                                                                                                               They will quietly and without witnesses bully you all
Standard deviation: 31.9616                                                                                                                                                                          the while justifying why they need you to do as
                                                                                                                                                                                                     they say. If your not good at dealing with this type
Skewness: -0.6409 (skewed to the left)
Skewness standard error (SSE, sqrt(6/n)): 0.4082                                                                                                                                                     of conflict you often feel angry and frustrated.
Skewness Z score (skewness / SSE): -1.5699
                                                                         Dominant Attitude!




Skewness indicates normal distribution (abs Z score < 2): yes

Kurtosis: -1.1866 (platykurtic or heavier in the tails)
Standard error for kurtosis (KSE, sqrt(24/n)): 0.8165
Kurtosis Z score (Kurtosis / KSE): -1.4533
Kurtosis indicates normal distribution (abs Z score < 2): yes

~~~~~ Y axis (The people in this story could be described as
-- Old ways)

Mean: 65.8056
Median: 79.0
25th percentile: 24.0
75th percentile: 99.0
Standard deviation: 33.0427
                                                                   Going through !
Skewness: -0.4929 (skewed to the left)                             the motions!
Skewness standard error (SSE, sqrt(6/n)): 0.4082
Skewness Z score (skewness / SSE): -1.2074
Skewness indicates normal distribution (abs Z score < 2): yes                                                                                                        Unnecessarily"
                                                                                              Non existent!    Leadership!
                                                                                                                                                                     Interfering!
Kurtosis: -1.4432 (platykurtic or heavier in the tails)
Standard error for kurtosis (KSE, sqrt(24/n)): 0.8165                                                                                                                                              Restrictions
Kurtosis Z score (kurtosis / KSE): -1.7676
Kurtosis indicates normal distribution (abs Z score < 2): yes
                                                                                                                                                                                                   We're under staffed, under resourced, aging
Correlation                                                                                                                                                                                        demographic.

Use parametric correlation test? yes
Pearson product-moment correlation coefficient: 0.4346
Pearson correlation significance: 0.0081
Significance threshold: 0.05
Correlation is significant? yes




                                                                                                                            Whose "increased selfishness"?? Litigators?? That will hinder many volunteers, regardless of
                                                                                                                            time, attitudes, and generations. Who can seriously afford to be sued for any perceived wrong
                                                                                                                            doing while do gooding?? Like everything in our highly dynamic society today, volunteering
                                                                                                                            attitudes and experiences are shifting. Some more positive, some negative, and many
                                                                                                                            traditional volunteer beliefs and services need to mirror these changes to move with the times to
                                                                                                                            survive the times.



                                                                                                                            !Who killed the Volunteer?


                                                                                                              Frustrated &"
                                                                                                              powerless!
                                                                                                                    Dominant Attitude!




                                                                                                              Going through !
                                                                                                              the motions!


                                                                                                                                                                                                                       Unnecessarily"
                                                                                                                                         Non existent!                Leadership!
                                                                                                                                                                                                                       Interfering!




                                                                                                                                                                                                                                                             Page 5
SignificaJon	
  of	
  experiences	
  provided	
  by	
  respondents	
  occurs	
  in	
  two	
  primary	
  forms	
  -­‐	
  Triads	
  
and	
  Opposing	
  Opposites.

         Triads: Assessing the relationship between three competing
                                   Interests!




Triads	
  are	
  a	
  visual	
  form	
  of	
  gecng	
  parJcipants	
  to	
  indicate	
  the	
  relaJonship	
  that	
  exists	
  between	
  
three	
  compeJng	
  interests	
  within	
  an	
  issue	
  under	
  consideraJon.	
  To	
  respond,	
  the	
  parJcipant	
  
will	
  move	
  the	
  ball	
  within	
  the	
  triad	
  to	
  where	
  they	
  think	
  it	
  best	
  sits	
  in	
  relaJon	
  to	
  the	
  the	
  three	
  
areas	
  of	
  interest	
  (one	
  at	
  each	
  apex).

SenseMaker	
  in	
  its	
  analysis,	
  will	
  then	
  use	
  the	
  aggregate	
  of	
  these	
  responses	
  to	
  build	
  “heat	
  
maps”	
  of	
  paWerns	
  of	
  responses	
  provided.	
  Where	
  interesJng	
  paWerns	
  appear,	
  we	
  can	
  drill	
  
down	
  into	
  the	
  experiences	
  to	
  understand	
  the	
  paWern	
  and	
  context	
  of	
  responses.


              Triad Interpretation: How three competing themes relate!

             Work environment open to new initiatives:!                                           Area of the business most impacted:!
                                                 Encouraged use of!                                                         Team!
                                                   new learnings!




                     Risk!                                    Too much else!
                    Averse!                                      going on!                                    Me!                        Organisation!




                                                            Difference to the business:!
                                                                                       Process!




                                                                   Money!                          Clients!




                                                                                                                                                                Page 6
Polarities: Opposing opposites to uncover layers of meaning!




Opposing	
  opposites	
  are	
  an	
  addiJonal	
  form	
  of	
  signifier	
  used	
  by	
  SenseMakerTM.	
  TradiJonal	
  
surveys	
  will	
  oNen	
  use	
  a	
  scale	
  running	
  from	
  a	
  negaJve	
  posiJon	
  to	
  a	
  posiJve	
  end,	
  with	
  the	
  
desirable	
  outcome	
  usually	
  posiJve	
  and	
  obvious	
  to	
  the	
  parJcipant.	
  This	
  is	
  done	
  for	
  two	
  
reasons	
  -­‐	
  to	
  “mask”	
  the	
  ideal	
  outcome	
  and	
  deny	
  a	
  simple	
  answer	
  and	
  to	
  provide	
  an	
  
addiJonal	
  dimension	
  for	
  sensemaking.	
  By	
  asking	
  the	
  respondent	
  to	
  rate	
  their	
  response	
  
between	
  two	
  extremes	
  we	
  get	
  a	
  deeper	
  understanding	
  of	
  the	
  response.




                                                                                                                                              Page 7
Impact Dashboard: Measurement of Impact over time!




An	
  Impact	
  Dashboard	
  can	
  be	
  developed	
  based	
  upon	
  the	
  areas	
  where	
  deep	
  insight	
  is	
  sought	
  
in	
  the	
  domain	
  area	
  of	
  enquiry,	
  using	
  the	
  polariJes	
  that	
  parJcipants	
  have	
  responded	
  to.

The	
  parJcipant	
  would	
  have	
  moved	
  the	
  ball	
  in	
  the	
  slider	
  bar	
  to	
  the	
  the	
  extent	
  that	
  they	
  feel	
  
the	
  issue	
  under	
  consideraJon	
  is	
  present.	
  SenseMakerTM	
  will	
  then	
  aggregate	
  these	
  responses	
  
into	
  an	
  overall	
  distribuJon.	
  In	
  a	
  perfect	
  world	
  we	
  would	
  see	
  a	
  normal	
  distribuJon	
  centered	
  
around	
  the	
  ideal	
  state.	
  In	
  reality	
  this	
  rarely	
  happens	
  and	
  we	
  are	
  looking	
  to	
  see	
  the	
  deviaJon	
  
of	
  the	
  mean	
  of	
  the	
  distribuJon	
  (red	
  line)	
  from	
  the	
  Ideal	
  State	
  (blue	
  shaded	
  area).	
  By	
  drilling	
  
down	
  into	
  the	
  narraJve	
  we	
  can	
  find	
  the	
  context	
  as	
  to	
  why	
  the	
  deviaJon	
  from	
  the	
  ideal	
  state	
  
is	
  occurring.	
  Furthermore,	
  intervenJons	
  can	
  be	
  developed	
  to	
  shiN	
  the	
  mean	
  back	
  towards	
  
the	
  ideal	
  state	
  which	
  can	
  be	
  monitored	
  over	
  Jme.

                                                                  What interventions might be required to shift the mean back towards the Ideal
                                                                  State of “participants having the ability to experiment in an environment where
                                                                  it is safe to fail”?!




                       Safe learning environment!
                                                                                                     Ideal State!




                      Too scared to!                                                                                                                                       Over protected!
                      try anything new!


         Role management!
                                                                                                                    Learning!                                    Engaging with colleagues!
         Being often the leader on projects, I took less of a
                                                                                                                    variety of skills, approaches and thinking   I would share my positive thoughts on the
         leading role to help others. I was able to observe the
                                                                                                                    in the business - evident from working       interaction with colleagues, the challenge
         project management leadership and role definition
                                                                                                                    together in teams. Insight from watching     in delivering an outcome in a short time
         process and the impact of these in reaching an
                                                                                                                    colleagues present as a client - increased   frame. Would also suggest that the
         outcome. This was very educational to see from the
                                                                                                                    awareness of how a customer might see        classroom learning and activity were
         outside and the positive (consensus) attributes and
                                                                                                                    us when we pitch to them.!                   disconnected but it didn't undermine the
         adverse impact of not having clear roles which I will
                                                                                                                                                                 overall value of the course. !
         use in my role. !




                                                                                                                                                                                                              Page 8
MulJple	
  Choice	
  QuesJons	
  provide	
  a	
  second	
  level	
  of	
  significaJon,	
  allowing	
  analysis	
  to	
  be	
  
further	
  segmented	
  based	
  upon	
  responses	
  to	
  each	
  mulJple	
  choice	
  quesJon



    Signification: The person who provides the experience decides
                            what it means!




                                                                                                                                 Page 9
About us:

                           Emerging Options are a consulting network specialising in
                           complexity and ways of helping organisations and groups
                           understand the world in which they participate in order to act.




                             Vivien Read is a founder of Emerging Options. Viv has over 30 years
                             experience as a consultant and manager in organisational strategy,
                             change management, industrial relations, leadership development, and
                             action learning. She has co facilitated 4 Cognitive Edge accreditation
                             programs, in Australia and South East Asia. She is currently involved in
                             projects using the Cognitive Edge tools and processes in Australia and
                             Singapore.

                             Viv is a frequent presenter at conferences, seminars and professional
                             groups including knowledge management societies, facilitator networks,
                             and training and development groups.



                             Chris Fletcher is a co-founder of Emerging Options. Prior to starting
                             Emerging Options, Chris was the Asia Pacific Director for Knowledgement
                             Management at Deloitte. He has over 20 years experience working
                             in Marketing, Business Development, Strategy and Knowledge Management -
                             predominantly in the professional services sector. His current focus is on using
                             Cognitive Edge tools and processes to help organisations and groups
                             understand complex issues, connect people and develop networks.

                             Chris is a regular speaker at conferences and seminars in the Asia Pacific
                             region.



For more information on this project or to express interest in participating, please contact:

Viv Read

email: viv@emergingoptions.com.au
Phone: +61 414 294 339

Chris Fletcher

email: chris@emergingoptions.com.au
Phone: +61 402 308 403




                                                                                                                Page 10

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Market Research - A complexity approach using SenseMakerTM

  • 1. Market Research A complexity approach using SenseMakerTM FEBRUARY 2010
  • 2.  “There  is  nothing  like  looking,  if  you  want  to  5ind  something.  You  certainly   usually  5ind  something,  if  you  look,  but  it  is  not  always  quite  the  something   you  were  after.”    - J.R.R. Tolkien  A complexity approach to market research The  business  environments  of  the  21st  Century  are  shaping  up  to  be  radically  different  to  those   many  of  us  have  experienced  previously.  Recent  market  shaping  events  such  as  the  Global   Financial  Crisis  were  not  widely  foreseen  and  who  is  to  say  that  an  unprecedented  events  such  as   these  will  not  happen  again?  As  we  enter  the  second  decade  of  a  new  century,  the  pace  of  change   will  only  conJnue  to  accelerate  with  the  scale  and  scope  of  informaJon  available  to  assist  decision   makers  only  growing  in  defiance  of  comprehension.  Market  Research  in  this  environment  needs  to   embrace  a  toolkit  that  allows  companies  and  business  alike  to  understand  the  complexity  that  they   deal  with  on  a  daily  basis  in  order  to  make  effecJve  decisions. A  complexity  approach  to  market  research  has  been  derived  from  the  science  of  Complex  AdapJve   Systems,  where  the  nature  of  a  complex  system  is  such  that  there  is  no  one  right  answer.  There  are   range  of  possibiliJes  and  opJons  due  to  the  myriad  of  factors  that  could  determine  cause  and   effect.  Complex  systems  are  by  their  very  nature  emergent,  and  the  challenge  with  market   research  in  this  environment  is  be  able  to  understand  the  emergent  properJes  of  complex  systems     that  allow  decision  makers  to  make  informed  decisions  and  monitor  impact  over  Jme.  “Changing  the  way  we  measure  things  is  vital.  So  is  decompartmentalising   society  -­  making  sure  that  economics  and  politics  are  not  divorced  from   other  crucial  areas  of  life”      - David Attenborough Page 2
  • 3. SenseMakerTM - designed to support narrative-based research and decision making  A  natural  and  intuitive  approach  to  gaining  multiple  perspectives   and  new  insights  into  complex  problems  that  have  until  now   proved  to  be  intractable  for  both  strategic  management  methods   and  software The  CogniJve  Edge  SenseMaker  SoNware  Suite,  is  fully  integrated  with  a  body  of  facilitated   processes,  is  the  outcome  of  several  years  of  research  into  human-­‐based  organizaJonal   complexity,  sensemaking,  decision-­‐making,  knowledge  sharing  and  impact  evaluaJon  by   CogniJve  Edge. It  provides  a  natural  and  intuiJve  approach  to  gaining  mulJple  perspecJves  and  new  insights   into  complex  problems  that  have  hitherto  proved  intractable  for  both  strategic  management   methods  and  soNware. The  SenseMaker  SoNware  Suite  has  been  used  to  address  complex  issues  associated  with: •   Making  decisions  in  inherently  complex  environments;   •   Assessing  the  intelligence  available  on  compeJJve  actors  and  their  strategies;   •   Developing  leaders  who  can  adapt  to  constant  change;   •   Managing  knowledge  that  is  criJcal  to  their  business;   •   EvaluaJon  of  impact  of  iniJaJves  and   •   Assessing  customer  saJsfacJon  and  employee  morale. Large  amounts  of  unstructured  data  are  used,  such  as  peoples  experiences  and  responses  to   prompJng  material,  news  arJcles,  blog  entries,  and  pictures,  where  the  way  in  which  these  are   tagged  enables  the  idenJficaJon  and  analysis  of  paWerns.    TradiJonal  staJsJcal  analysis  is  also   available. Current  esJmates  are  that  the  cost  is  in  the  range  of  20-­‐25%  of  more  tradiJonal  survey   approaches.    AddiJonal  benefits  are  that  the  source  data  remains  the  property  of  the  client   organisaJon,  the  skills  for  analysis  and  interpretaJon  are  transferred,  and  the  date/Jme   stamping  enables  tracking  of  trends  and  changes  -­‐  small  and  large. “There  is  no  difference  between  a  terrorist,  a  citizen,  an  employee  and  a   consumer  –  all  represent  the  problem  of  asymmetry  in  which  an   organisation  has  to  understand  multiple  interactions  and  decision  from   large  populations  which  cannot  be  predicted  or  controlled  by  that   organisation.”      - Cognitive Edge Page 3
  • 4. Emerging  OpJons  uses  SenseMakerTM  to  capture  large  volumes  of  narraJve  with  respect  to   the  specific  area  under  consideraJon.    Literally  thousands  of  stories,  anecdotes,  pictures,   arJcles,  verbal  records  and  much  more,  can  be  captured  at  a  minimal  cost.  Those  who   provide  the  stories  or  submit  other  sense  making  material  answer  a  number  of  quesJons   that  provide  the  indexing  criteria,  and  subsequent  reporJng.  Indexing  is  customised  to  meet   the  needs  of  the  research,  and  central  to  the  CogniJve  Edge  Sense  Making  soNware’s  ability   to  shown  paWerns  that  could  uncover  emerging  trends,  issues  or  insights  that  are  not  readily   apparent  with  tradiJonal  methods  of  data  interrogaJon. SenseMakerTM  will  allow  for  the  uncovering  of  paWerns  in  the  complex  issue  being   invesJgated.  The  dataset  collected,  will  also  form  the  basis  for  the  ongoing  benchmarking  of   idenJfied  insights  and  drivers  moving  forward. The  kind  of  complex  organic  database  created,  can  help  you  find  out  who  is  saying  what,  and   how  a  challenge  or  project  is  being  handled.  For  example,  six  clicks  of  a  mouse  buWon  can  tell   you  all  the  stories  told  by  an  experienced  staff  member,  facing  a  crisis,  involving  deep  conflict   and  emoJons,  told  from  their  point  of  view,  with  the  intenJon  of  teaching.  Depending  on  the   number  of  queries  you  look  at,  you  can  narrow  or  expand  your  potenJal  insight  about  what   might  be  relevant  and  what  might  not. Benefits  of  SenseMakerTM: • Ability  to  allow  mul-ple  perspec-ves  to  be  visible  and  recognized  -­‐  to  make  the  “invisible  voices  visible” • Ability  to  value  dissent  without  requiring  a>ribu-on  of  blame • Providing  perspec-ves  and  frameworks  that  enable  people  to  take  ac-on  in  addressing  complex  issues • Compliment  and  work  in  conjunc-on  with  exis-ng  research  tools  and  processes • The  use  of  narra-ve  as  a  key  component  of  collec-ng  and  understanding  knowledge  in  context • A  founda-on  for  benchmarking • A  bo>om-­‐up  approach  to  iden-fying  issues  masked  through  organisa-on  hierarchy • A  near  real  -me  view  of  the  organisa-on  and  how  it  manages  complex  issues • Making  key  decisions  where  to  invest  scarce  research  or  marke-ng  budgets • Gaining  compe--ve  advantage  through  deep  insights  from  real  people.   • Know  how  customers  and  compe-tors  talk  about  the  issues  under  considera-on • Iden-fy  customer  segments  and  context  within  which  they  talk  about  issues  being  researched • Formulate  targeted  marke-ng  messages  that  most  resonate  with  target  audience   Page 4
  • 5. SenseMakerTM - a look under the covers Key  to  SenseMakerTM  is  the  removal  of  the  role  of  the  “expert”  as  far  as  possible.  Experts  will   not  give  opinions  as  to  what  people  think  -­‐  this  is  gathered  from  real  people  in  the  target   research  audience.  By  recognising  that  each  individual  understands  their  experiences  beWer   than  experts,  and  allowing  them  to  interpret  their  own  material,  SenseMakerTM  is  able  to   provide  in-­‐depth  quanJtaJve  analysis  in  research  areas  typically  only  quanJfied  in  a   superficial  manner,  or  covered  by  qualitaJve  research  alone. SenseMakerTM  avoids  pre-­‐hypothesis,  categorisaJon  or  pre-­‐determined  demographic   definiJons.  The  use  of  emergent  research  allows  the  groups  to  be  discovered  based  on  actual   characterisJcs.  TradiJonal  survey  techniques,  focus  groups  or  standard  quesJonnaires  are   not  used.  By  using  indirect  quesJoning  and  gathering  responses  in  a  narraJve  format,  we  are   able  to  probe  to  a  deeper  level.  The  material  gathered  contains  not  only  the  respondents   experiences,  but  nuanced  insights  into  their  views  in  the  context  of  real  experiences.  These   details  enable  the  content  of  the  responses  to  be  understood.  The  result  is  a  staJsJcal   analysis  of  the  paWerns  of  responses,  which  can  be  drilled  down  into  to  examine  the   qualitaJve  narraJve  underneath  the  numbers. Summary Statistics for graph: In this story people feel they are -- Lacking choice X The people in this story could be described as -- Old ways But everything else is great.. Number of items: 36 If your lucky you'll get a competent supervisor. If ~~~~~ X axis (In this story people feel they are -- Lacking choice) not you can end up with someone who doesn't do Frustrated &" their job but will always appear to others that they Mean: 68.6667 powerless! are helpful and hard working. They will take credit Median: 79.5 25th percentile: 36.25 for your hard work and even put their name to it. 75th percentile: 97.75 They will quietly and without witnesses bully you all Standard deviation: 31.9616 the while justifying why they need you to do as they say. If your not good at dealing with this type Skewness: -0.6409 (skewed to the left) Skewness standard error (SSE, sqrt(6/n)): 0.4082 of conflict you often feel angry and frustrated. Skewness Z score (skewness / SSE): -1.5699 Dominant Attitude! Skewness indicates normal distribution (abs Z score < 2): yes Kurtosis: -1.1866 (platykurtic or heavier in the tails) Standard error for kurtosis (KSE, sqrt(24/n)): 0.8165 Kurtosis Z score (Kurtosis / KSE): -1.4533 Kurtosis indicates normal distribution (abs Z score < 2): yes ~~~~~ Y axis (The people in this story could be described as -- Old ways) Mean: 65.8056 Median: 79.0 25th percentile: 24.0 75th percentile: 99.0 Standard deviation: 33.0427 Going through ! Skewness: -0.4929 (skewed to the left) the motions! Skewness standard error (SSE, sqrt(6/n)): 0.4082 Skewness Z score (skewness / SSE): -1.2074 Skewness indicates normal distribution (abs Z score < 2): yes Unnecessarily" Non existent! Leadership! Interfering! Kurtosis: -1.4432 (platykurtic or heavier in the tails) Standard error for kurtosis (KSE, sqrt(24/n)): 0.8165 Restrictions Kurtosis Z score (kurtosis / KSE): -1.7676 Kurtosis indicates normal distribution (abs Z score < 2): yes We're under staffed, under resourced, aging Correlation demographic. Use parametric correlation test? yes Pearson product-moment correlation coefficient: 0.4346 Pearson correlation significance: 0.0081 Significance threshold: 0.05 Correlation is significant? yes Whose "increased selfishness"?? Litigators?? That will hinder many volunteers, regardless of time, attitudes, and generations. Who can seriously afford to be sued for any perceived wrong doing while do gooding?? Like everything in our highly dynamic society today, volunteering attitudes and experiences are shifting. Some more positive, some negative, and many traditional volunteer beliefs and services need to mirror these changes to move with the times to survive the times. !Who killed the Volunteer? Frustrated &" powerless! Dominant Attitude! Going through ! the motions! Unnecessarily" Non existent! Leadership! Interfering! Page 5
  • 6. SignificaJon  of  experiences  provided  by  respondents  occurs  in  two  primary  forms  -­‐  Triads   and  Opposing  Opposites. Triads: Assessing the relationship between three competing Interests! Triads  are  a  visual  form  of  gecng  parJcipants  to  indicate  the  relaJonship  that  exists  between   three  compeJng  interests  within  an  issue  under  consideraJon.  To  respond,  the  parJcipant   will  move  the  ball  within  the  triad  to  where  they  think  it  best  sits  in  relaJon  to  the  the  three   areas  of  interest  (one  at  each  apex). SenseMaker  in  its  analysis,  will  then  use  the  aggregate  of  these  responses  to  build  “heat   maps”  of  paWerns  of  responses  provided.  Where  interesJng  paWerns  appear,  we  can  drill   down  into  the  experiences  to  understand  the  paWern  and  context  of  responses. Triad Interpretation: How three competing themes relate! Work environment open to new initiatives:! Area of the business most impacted:! Encouraged use of! Team! new learnings! Risk! Too much else! Averse! going on! Me! Organisation! Difference to the business:! Process! Money! Clients! Page 6
  • 7. Polarities: Opposing opposites to uncover layers of meaning! Opposing  opposites  are  an  addiJonal  form  of  signifier  used  by  SenseMakerTM.  TradiJonal   surveys  will  oNen  use  a  scale  running  from  a  negaJve  posiJon  to  a  posiJve  end,  with  the   desirable  outcome  usually  posiJve  and  obvious  to  the  parJcipant.  This  is  done  for  two   reasons  -­‐  to  “mask”  the  ideal  outcome  and  deny  a  simple  answer  and  to  provide  an   addiJonal  dimension  for  sensemaking.  By  asking  the  respondent  to  rate  their  response   between  two  extremes  we  get  a  deeper  understanding  of  the  response. Page 7
  • 8. Impact Dashboard: Measurement of Impact over time! An  Impact  Dashboard  can  be  developed  based  upon  the  areas  where  deep  insight  is  sought   in  the  domain  area  of  enquiry,  using  the  polariJes  that  parJcipants  have  responded  to. The  parJcipant  would  have  moved  the  ball  in  the  slider  bar  to  the  the  extent  that  they  feel   the  issue  under  consideraJon  is  present.  SenseMakerTM  will  then  aggregate  these  responses   into  an  overall  distribuJon.  In  a  perfect  world  we  would  see  a  normal  distribuJon  centered   around  the  ideal  state.  In  reality  this  rarely  happens  and  we  are  looking  to  see  the  deviaJon   of  the  mean  of  the  distribuJon  (red  line)  from  the  Ideal  State  (blue  shaded  area).  By  drilling   down  into  the  narraJve  we  can  find  the  context  as  to  why  the  deviaJon  from  the  ideal  state   is  occurring.  Furthermore,  intervenJons  can  be  developed  to  shiN  the  mean  back  towards   the  ideal  state  which  can  be  monitored  over  Jme. What interventions might be required to shift the mean back towards the Ideal State of “participants having the ability to experiment in an environment where it is safe to fail”?! Safe learning environment! Ideal State! Too scared to! Over protected! try anything new! Role management! Learning! Engaging with colleagues! Being often the leader on projects, I took less of a variety of skills, approaches and thinking I would share my positive thoughts on the leading role to help others. I was able to observe the in the business - evident from working interaction with colleagues, the challenge project management leadership and role definition together in teams. Insight from watching in delivering an outcome in a short time process and the impact of these in reaching an colleagues present as a client - increased frame. Would also suggest that the outcome. This was very educational to see from the awareness of how a customer might see classroom learning and activity were outside and the positive (consensus) attributes and us when we pitch to them.! disconnected but it didn't undermine the adverse impact of not having clear roles which I will overall value of the course. ! use in my role. ! Page 8
  • 9. MulJple  Choice  QuesJons  provide  a  second  level  of  significaJon,  allowing  analysis  to  be   further  segmented  based  upon  responses  to  each  mulJple  choice  quesJon Signification: The person who provides the experience decides what it means! Page 9
  • 10. About us: Emerging Options are a consulting network specialising in complexity and ways of helping organisations and groups understand the world in which they participate in order to act. Vivien Read is a founder of Emerging Options. Viv has over 30 years experience as a consultant and manager in organisational strategy, change management, industrial relations, leadership development, and action learning. She has co facilitated 4 Cognitive Edge accreditation programs, in Australia and South East Asia. She is currently involved in projects using the Cognitive Edge tools and processes in Australia and Singapore. Viv is a frequent presenter at conferences, seminars and professional groups including knowledge management societies, facilitator networks, and training and development groups. Chris Fletcher is a co-founder of Emerging Options. Prior to starting Emerging Options, Chris was the Asia Pacific Director for Knowledgement Management at Deloitte. He has over 20 years experience working in Marketing, Business Development, Strategy and Knowledge Management - predominantly in the professional services sector. His current focus is on using Cognitive Edge tools and processes to help organisations and groups understand complex issues, connect people and develop networks. Chris is a regular speaker at conferences and seminars in the Asia Pacific region. For more information on this project or to express interest in participating, please contact: Viv Read email: viv@emergingoptions.com.au Phone: +61 414 294 339 Chris Fletcher email: chris@emergingoptions.com.au Phone: +61 402 308 403 Page 10