the essentials of appreciative inquiry

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The Essentials of Appreciative Inquiry Excerpts from The Essentials of Appreciative Inquiry: A Roadmap for Creating Positive Futures By Bernard J. Mohr and Jane Magruder Watkins

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Page 1: The Essentials of Appreciative Inquiry

     

                               

The  Essentials  of  Appreciative  Inquiry    

Excerpts  from  The  Essentials  of  Appreciative  Inquiry:  A  Roadmap  for  Creating  Positive  Futures    

By  Bernard  J.  Mohr  and  Jane  Magruder  Watkins        

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‘For  much  of  the  last  four  centuries,  humans  have  sought  to  improve  the  world  through  modern  Western  science,  with  its  focus  on  linear  logic  and  dissecting  things  to  understand  them.  When  we’ve  applied  this  approach  to  technical  challenges,  such  as  the  need  to  share  information  with  people  on  the  other  side  of  the  globe,  we’ve  been  highly  successful.  Nevertheless,  despite  dramatic  developments  in  technological  systems,  our  progress  in  developing  human  systems  such  as  families,  work  teams,  community  groups,  corporations,  and  nations  has  been  much  slower.  Many  people  wonder  why  we  can  succeed  so  well  in  one  sphere  and  have  such  difficulty  in  another.    

 People  interested  in  improving  human  systems  often  assume  that  organizational  change  is  sequential:  We  first  ask  about  how  an  enterprise  functions  and  then  take  steps  to  change  it  based  on  our  findings.  However,  a  growing  number  of  social  scientists  are  coming  to  recognize  that  the  process  of  studying  a  phenomenon  actually  changes  that  phenomenon  –  in  effect  creating  a  new  reality  during  the  process  of  inquiry.  In  the  early  1920s,  renowned  physicist  Werner  von  Heisenberg  articulated  this  principle  for  the  physical  world.  For  example,  the  act  of  inserting  a  thermometer  into  a  glass  of  water  to  determine  the  water’s  temperature  will  change  that  temperature.  By  extension,  we  can  infer  that  studying  a  company  or  community  changes  that  entity.  Researchers  have  found  that  this  influence  begins  from  the  first  questions  that  leaders,  consultants,  or  others  ask  during  the  inquiry  process  –  and  that  the  images  evoked  by  their  questions  have  an  almost  magnetic  pull.  

 As  a  result  of  this  new  thinking,  some  have  begun  to  question  the  focus  of  what  we  typically  study  in  organizational  life.  Rather  than  concentrate  on  breakdowns  and  malfunctions,  we’ve  begun  to  ask:  If  the  act  of  studying  a  system  alters  it,  why  not  do  so  in  ways  that  create  movement  toward  peak  experiences  or  successes?  Posing  this  query  can  open  eyes  to  the  enormous  potential  of  the  positive  question.’  

 -­‐Bernard  J.  Mohr  and  Jane  Magruder  Watkins  

                                                     

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Origins  of  Appreciative  Inquiry  (AI)  Appreciative  Inquiry  first  arose  in  the  early  1980s,  when  David  Cooperrider,  then  a  graduate  student  at  Case  Western  Reserve  University,  was  hired  to  conduct  an  organizational  diagnosis  of  the  Cleveland  Clinic  to  find  out  what  was  wrong  with  the  way  the  organization  was  operating.  During  the  research,  he  was  amazed  by  the  level  of  cooperation,  innovation,  and  egalitarian  governance  that  he  observed  within  certain  parts  of  the  medical  faculty.  In  response  to  these  observations,  Cooperrider  refocused  his  research  to  study  the  causes  of  such  excellence.  He  soon  found  that  this  ‘appreciative’  approach  was  causing  a  powerful  and  creative  stir  within  the  organization.  As  he  began  to  formalize  a  theory  based  on  his  findings,  clinic  leaders  asked  him  to  help  them  create  a  practice  based  on  positive  inquiry.  Soon,  Cooperrider  began  to  see  broader  possibilities  for  applying  this  emerging  philosophy  to  guide  change  in  other  organizations.  

 The  Power  of  the  Positive  Question  In  1982  researchers  at  the  University  of  Wisconsin  conducted  a  study  of  the  learning  process  by  videotaping  two  bowling  teams  during  several  games.  Later,  members  of  each  team  studied  a  copy  of  the  video  of  their  efforts  in  order  to  improve  their  skills.  But  the  copies  were  edited  differently.  One  team  received  a  video  showing  only  the  times  when  members  made  mistakes;  the  other  team’s  video  included  only  the  times  when  the  members  performed  well.  After  the  bowlers  studied  the  videos  and  acted  upon  what  they  learned,  what  happened?  Both  teams  did  improve  their  game,  but  the  team  that  studied  its  successes  improved  its  score  twice  as  much  as  the  one  that  studied  its  mistakes.    Learning  from  moments  of  excellence  serves  as  the  foundation  of  Appreciative  Inquiry  (AI).  AI  is  an  emerging  approach  to  organizational  transformation  based  on  the  deceptively  simple  premise:  that  organizations  grow  in  the  direction  of  what  they  repeatedly  ask  questions  about  and  focus  their  attention  on.  Why  make  this  assumption?  Sociological  research  has  shown  that  when  people  study  problems  and  conflicts,  the  number  and  severity  of  the  problems  they  identify  actually  increase.  But  when  they  focus  on  human  ideals  and  achievements,  peak  experiences,  and  best  practices,  these  things  –  not  the  conflicts  –  tend  to  flourish.  

 By  encouraging  a  broad  range  of  stakeholders  both  within  and  outside  the  organization  to  ask  certain  kinds  of  questions,  make  shared  meaning  of  the  answers,  and  act  on  the  responses,  AI  serves  as  a  wellspring  for  transformational  change.  It  supports  organization-­‐wide  learning  and  renewal.    But  how  can  a  simple  question  nudge  a  whole  company  in  a  productive  new  direction?  Organizations  are  manifestations  of  the  human  imagination.  That  is,  no  organization  could  exist  if  one  or  several  individuals  hadn’t  envisioned  it  first  (even  if  that  vision  was  incomplete).  The  learnings  that  surface  through  the  AI  process  begin  to  shift  the  collective  image  that  people  hold  of  the  organization.  In  their  daily  encounters,  members  start  to  create  compelling  new  visions  of  the  company’s  future  together,  grounded  in  their  understanding  of  past  successes.  There  visions  initiate  ‘ripples’  in  how  employee’s  think  about  the  work  they  do,  their  relationships,  their  roles,  and  so  on.  Over  time,  these  ripples  turn  into  waves;  the  more  positive  questions  people  ask,  the  more  they  incorporate  the  learnings  they  glean  from  those  questions  in  daily  behaviors  and  ultimately,  into  the  organization’s  infrastructure.  

                           

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Appreciative  Questions  To  see  how  we  might  start  to  frame  such  questions,  let’s  suppose  a  team’s  performance  has  fluctuated  for  a  while  and  its  members  are  now  experiencing  conflict  and  low  productivity.  Which  of  the  following  sets  of  questions  is  likely  to  give  us  information  that  will  generate  forward  momentum?  

• What’s  wrong  with  the  people  in  this  group?  • Why  isn’t  this  team  doing  better?  • What’s  causing  this  conflict  and  who  is  responsible?  OR  • Think  of  a  time  in  your  history  as  a  team  when  performance  was  high  and  you  felt  engaged  and  valued.  Tell  

me  a  story  about  that  time.  What  were  you  and  the  others  doing?    • What  external/organizational  factors  were  present  that  supported  these  moments?  • How  might  this  team  function  if  we  could  expand  the  conditions  that  led  to  past  successes?  

 Both  sets  of  questions  will  generate  data  that  will  begin  to  shift  the  team’s  dynamics,  but  only  the  first  will  lead  to  blame,  fatigue,  and  resistance  that  typically  accompany  problem-­‐focused  analyses.  Uncovering  and  supporting  people’s  passions,  skills,  knowledge,  experience,  and  successes  excite  and  mobilize  them  to  implement  innovations  they  never  before  thought  possible.    

An  Invitation  to  Change  Unlike  many  behavioral  approaches  to  change,  AI  does  not  focus  on  changing  people.  Instead,  it  invites  people  to  engage  in  building  the  kinds  of  organizations  and  communities  that  they  want  to  work  and  live  in.  AI  thus  involves  collaborative  discovery  of  what  makes  an  organization  most  effective  –  in  economic,  ecological,  and  human  terms.  From  there,  people  weave  that  new  knowledge  into  the  fabric  of  the  firm’s  formal  and  informal  systems,  such  as  the  way  they  develop  and  implement  business  strategy  or  organize  themselves  to  accomplish  tasks.  This  process  presents  true  learning  and  change.  AI  enables  human  systems  to  engage  in  continuous  learning  and  translate  that  learning  into  ongoing  innovation.  Organizations  then  become  so  agile  that  they  are  capable  of  thriving  even  in  the  midst  of  volatility  and  changing  at  the  speed  of  imagination.    How  AI  Works:  Five  Generic  Processes    

1. Choose  the  positive  as  the  focus  of  inquiry  2. Inquire  into  exceptionally  positive  moments  3. Share  the  stories  and  identify  live-­‐giving  forces  4. Create  shared  images  of  a  preferred  future  5. Innovate  and  improvise  ways  to  create  that  future  

 

                                 

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Helpful  Conditions  for  Implementing  the  AI  Process  Though  not  an  absolute  prerequisite,  the  following  conditions  may  be  helpful  in  implementing  AI  to  achieve  rapid  organizational  learning  and  change:  

• Humble  beginnings.  The  organization  honestly  acknowledges  any  current  difficulties  without  assigning  blame  and  invite  co-­‐construction  of  solutions  that  do  not  yet  exist.  

• Congruence  of  means  and  ends.  The  inquiry  process  itself  and  the  end  results  are  congruent.  For  example,  an  organization  seeking  to  increase  the  meaningful  involvement  of  minority  groups  in  all  aspects  of  the  organizational  life  must  have  significant  participation  from  those  groups  in  planning  the  inquiry,  creating  the  interview  guides,  and  developing  the  innovations  that  will  be  required.  

• History  as  a  source  of  innovation.  Key  leaders  believe  that  the  organization’s  history  is  a  source  of  new  possibilities  and  are  intrigued  with  the  notion  that  accessing  its  ‘positive  core’  can  drive  learning  and  change.  They  support  participation  of  all  voices  at  all  levels  and  are  open  to  the  resultant  innovation  ideas.  

• Focus  beyond  the  event?  Members  of  the  organization  see  AI  as  a  process  for  creating  a  culture  open  to  learning,  discovering  new  possibilities  for  organizing,  and  producing  results  in  ways  that  raise  the  collective  standard  of  living  in  the  organization.  Learning  and  change  are  seen  as  ongoing  processes  rather  than  a  one-­‐time  event  that  brings  the  organization  to  some  final  point  of  excellence.  

• Stories  more  than  numbers.  The  organization  supplies  the  structures  and  resources  needed  to  collect  and  distribute  stories  of  ‘exceptional  moments’  and  support  creative  action.  Stories  become  valued  for  their  ability  to  capture  the  wholeness  of  meaning.