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Applying Design
Thinking and
Complexity Theory in
Agile Organizations
                               	

       Jean Tabaka, Rally Software
                     @jeantabaka
Yuval and Ronen
An Agile Adoption Story
2002
5000
14
7
1
1
We	
  created	
  an	
  
algorithm	
  we	
  could	
  
      exploit.	
  
“Cookbook Agile”
Centralized	
  authority	
  
h5p://www.flickr.com/photos/virtualeyesee/6107062655	
  
Lack	
  of	
  	
  innovaEon	
  
Diminishing	
  
customer	
  base	
  
EscalaEon	
  
Agile	
  	
  
“blame	
  game”	
  
Why	
  a	
  cookbook	
  
  won’t	
  do	
  
We live in a world that
is complex yet craving
      innovation
Our Agile adoptions
must embrace vision
  with hunches,
 exploration and
   exploitation
We need to do this
leveraging emergence,
 bringing empathy, and
  inviting “the wildly
     unexpected”
3	
  thoughts	
  
Don’t	
  latch	
  onto	
  one	
  set	
  of	
  
         Agile	
  pracEces	
  
Invite	
  principles	
  and	
  
pracEces	
  outside	
  of	
  Agile	
  as	
  
 your	
  organizaEon	
  matures	
  
Combine	
  emergence	
  and	
  
 resilience	
  for	
  sustained	
  	
  
        innovaEon	
  
What	
  you	
  get	
  
“Thrive versus
merely survive
A	
  look	
  at	
  complexity	
  
4 Dots
6 Connections
? Patterns
64 Patterns
10 Dots
45 Connections
? Patterns
Patterns




35,184,372,088,832
h5p://www.flickr.com/photos/virtualeyesee/6107062655	
  
We live in an
unordered, complex
      world
We have
complexity of…
Organizations
Capabilities
Code-base
Customers
Markets
We	
  can’t	
  afford	
  to	
  latch	
  
  onto	
  recipes	
  of…	
  
Order
Control
Algorithm
Are you complex?
“What you predict
doesn’t come true.”
“What worked yesterday,
  doesn’t seem to be
   working today.”
“What you don’t know is
      unknown.”
Are	
  you	
  a	
  chef	
  or	
  a	
  
 recipe	
  follower?	
  
“It is not possible to prove
 any new thought, concept
     or idea in advance.”
     – Charles Sanders Pierce
Analysis and induction
alone cannot manage
     complexity
We should must invite
  abductive logic
Abductive logic:
multiple possible
explanations for
  something
We must invite
  mystery to allow
innovative patterns to
       emerge
How	
  do	
  we	
  make	
  sense	
  of	
  
 environments	
  like	
  this?	
  
Gaussian probability (“Bell
curve) is not sufficient




               http://en.wikipedia.org/wiki/Normal_distribution
We cannot see the low
probability, high impact
         events
Pareto plausibility
seeks outliers
We	
  intenEonally	
  seek	
  
  these	
  low	
  signal	
  
         outliers	
  
Complexity theory
 
 David
Snowden
Cynefin
Plausible   Probable




Unordered   Ordered
Plausible                           Probable




Chaotic     Complex   Complicated      Simple



Unordered                           Ordered
Plausible                           Probable



            Complex   Complicated




            Chaotic     Simple




Unordered                           Ordered
Plausible                   Probable

 Complex               Complicated




            Disorder




Chaotic                    Simple
Unordered                   Ordered
The relationship between
    cause and effect
Plausible                                   Probable

 Complex                           Complicated
only coherent in                  requires analysis or
retrospect, and not                         expertise
repeatable



                      Disorder



 not perceivable                 obvious & repeatable
Chaotic                                    Simple
Unordered                                   Ordered
What practices are
appropriate in each
 scenario/system?
Plausible                             Probable

 Complex                        Complicated
Emergent practices               Good practices




                     Disorder



 Action                           Best practices
Chaotic                              Simple
Unordered                              Ordered
What	
  is	
  Dave	
  asking	
  	
  
         of	
  us?	
  
Resilience	
  vs	
  Robustness	
  
Effec6veness	
  vs	
  Efficiency	
  
The	
  goal	
  is	
  NOT	
  to	
  define	
  
your	
  system	
  in	
  one	
  area	
  
 or	
  another	
  but	
  rather	
  
   create	
  movement	
  
        appropriately.	
  
Design thinking
George
 Kembel

d.school,
Stanford
University
http://dschool.stanford.edu/our-point-of-view/
Innovation with empathy
Design thinking practices
     are non-linear
Design Thinking
Create space for the
“wildly unexpected”
http://dschool.stanford.edu/dgift/#gear-up
Low fidelity prototypes
“It is not possible to prove
 any new thought, concept
     or idea in advance.”
     – Charles Sanders Pierce
We should must invite
  abductive logic
The balance of
   Exploration

       Mystery
       Heuristics

         Algorithm



with   Exploitation
In business, we MUST
balance searching and
       shipping.
Reliability	
  vs	
  Validity	
  	
  
         and	
  the	
  
 	
  “predilecEon	
  gap”	
  
Combining	
  design	
  
  thinking	
  and	
  
complexity	
  theory	
  
Embrace	
  deep	
  intenEon	
  
around	
  the	
  principles	
  that	
  
  guide	
  your	
  pracEces.	
  
Probe,	
  Sense,	
  Respond	
  
Explore and Exploit
Emergence	
  and	
  resilience	
  
Empathize	
  and	
  innovate	
  
Apply	
  cogniEve	
  distribuEon	
  necessary	
  in	
  
complexity	
  
Apply	
  design	
  thinking	
  non-­‐linear	
  empathy	
  
Seek the wildly unexpected



Vision & Empathy
                           	
  
Applying Design
Thinking and
Complexity Theory in
Agile Organizations
                               	

       Jean Tabaka, Rally Software
                     @jeantabaka

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