presentation given to Stan Garfield's SIKM group on August 21, 2018
What Does Done Look Like is the story of my 15 years as Chief learning Officer @ETS especially regarding my role in the creation, generation, reuse, application, and management of knowledge in order to create value. The presentation is in the form of a set of adages and aphorisms that sum up respectively and orientation to these knowledge activities, the criticality of understanding the role of change in such activities, and some implications and examples.
5. Taking “on the big
challenges the for-
profits will not
because the
challenges are too
hard--
and they don’t have
the scientific
capability to attack
them
--or because the
return on
investment isn’t big
enough or soon
enough--and their
need to satisfy
shareholders won’t
allow it.”
Randy Bennett
5
7. JC Spender
A business
model is a
description
an abstract
representation
of a
complex
business to
help predict
how it might
respond
within a
dynamic
opportunity
space
Strategy is
the set of
specific
activities
tradeoffs,
services,
marketing,
etc. to
secure the
value creation
imagined in
the business
model
7
8. Value is the North Star but…
The wise and cautious mariner ought not to trust too
fully to his own judgment when the pressing need is to
take some important step or to deviate from a dangerous
course. Let him take counsel with those whom he
recognizes as the most sagacious, and particularly with
old navigators who have had most experience of
disasters at sea and have escaped from dangers and
perils, and let him weigh well the reason they may
advance; for it is not often that one head holds
everything, and, as the saying goes, experience is
better than knowledge. He should be wary and
holdback rather than run too many risks whether in
sighting land, particularly in foggy weather when he will
bring the vessel to or stand off and on according to the
position of the ship, inasmuch as in this fog or in the
dark no one is a pilot.
Samuel de Champlain, Treatise on Seamanship
8
19. What Does Done Look Like?
“We, writers, painters, sculptors, architects, passionate lovers of the beauty,
until now intact, of Paris, hereby protest with all our might, with all our
indignation, in the name of French taste gone unrecognized, in the name of
French art and history under threat, against the construction, in the very heart
of our capital, of the useless and monstrous Eiffel Tower.”
Manifesto that ran in the Le Temps newspaper on Valentine’s Day in 1887: 19
25. 25
People as Islands of Information and
Knowledge;
Organizations as Labyrinths of Controls
and Politics
26. 26
Knowledge is Sticky
• Some forces identified by experts *
• Motivation
• Incentives
• Biases
• Controls
• Causal ambiguity: the partial
understanding of why the use of
certain knowledge leads to a certain
outcome
• The lack of absorptive capacity of
the recipient : the inability to
recognize the value of the new
knowledge
• And the lack of retentive capacity of
the recipient: the inability to
institutionalize the use of the new
knowledge.
* The last three are from
Gabriel Szulanski’s work
31. YAxis-IncreasingRisk
X Axis - Increasing Business
Value
Strategic Directions
New Products
New Business
Financial
RFP
Outside Resources
Shaping Workforce
Project Initiation
Client Relationships
Tests
IP
Size of sphere
indicates relative
cost of
implementation
Value Matrix: Implementation Risk & Value
31
32. 32
Our Knowledge
Workers Hit All Squares
on Tom’s Board
Integration Model
• Systematic, repeatable work
• Highly reliant on formal
processes, methodologies or
standards
• Dependent on tight
integration across functional
boundaries
Transaction Model
• Routine work
• Highly reliant on formal
rules, procedures and training
• Dependent on low discretion
workforce or automation.
Collaboration Model
• Improvisational work
• Highly reliant on deep
expertise across multiple
functions
• Dependent on fluid deploy-
ment of flexible teams
Expert Model
• Judgment-oriented work
• Highly reliant on
individual expertise and
experience
• Dependent on star
performers
Levelof
Interdependence
Collaborative
Groups
Individual
Actors
Routine Interpretation /
JudgmentComplexity of Work
SOME
MANY MANY
MANY
40. 40
So We Focused On The Conversation –
and Lots of Acronyms
• AARs
• CoPs
• SNAs
• Facilitation
• Old Fashioned Teaching
• Collaborative Technology
42. What We’ve Been Doing: Expertise
Locator
• This is the most frequent
request: “I need a person
who might have this skill or
that experience.”
• We repurposed existing code
of Performance Management
database to create this simple
search mechanism
• We only loaded identifying
info and objectives — no
results, comments,
development plans
• We built it and they did
not come
42
50. Amy Edmondson on
Complex Systems &
Learning from Failure
The consideration of a failure in a complex
system as bad “is not just
a misunderstanding of how
complex systems work; it is
counterproductive.”
“Tolerating unavoidable process
failures in complex systems and intelligent
failures at the frontiers
of knowledge won’t promote mediocrity.
Indeed, tolerance is essential for any
organization that wishes to extract the
knowledge such failures provide. But
failure is still inherently emotionally
charged; getting an organization to accept
it takes leadership.”
50