Scientists defined agility as the ability to successfully adapt to and exploit changes. They identified 6 measurable characteristics of agility and defined a continuum from command-and-control to self-organization structures. Experiments showed edge and collaborative structures performed better in highly uncertain environments requiring shared understanding and rare events. The scientists also identified 9 main inhibitors of agility and created an agility curriculum.
2. An individual, a team, or an organisation
performs better than another one
more knowledgeable & experienced in Lean/Agile
b) How can the
under-performing
one catch-up?
THE PROBLEM
a) Why?
5. A) WHY?
A better ability to balance anticipation (preparation
and upfront planning) and adaptation (sensing &
responding) to the current circumstances?
Image from Jim Highsmith, Agile Software Development Ecosystems
6. B) HOW CAN THE UNDER-PERFORMING
CATCH UP?
- How can the under-performing one improve?
- How can tacit knowledge & tacit experience be
transferred to them?
7. THE FULL STORY
A group of Scientists:
1. Defined Agility and identified 6 characteristics of
Agility that can be measured & developed over
time
2. Defined a continuum from Command & Control to
a flat/edge organisation, and named 5 points in
this continuum that resemble 5 team/org
8. THE FULL STORY
4. They have ran empirical experiments matching
these 5 team/org structures with various
challenges, measuring the Agility of each
structure. They also discovered
what challenges benefit more from Agility
5. They have identified 9 inhibitors of Agility
6. They have drafted a curricula to develop Agility
9. SCIENTIFIC WORK
Scientists: David S. Alberts, Richard E. Hayes, et al.
From 2003 to 2013
- Defined, validated and tested Agility Theory
Study award:
2014 NATO Scientific Achievement Award
10. SCIENTIFIC WORK
Applicability:
- Complex endeavours such as economic development,
cyber-security, civil-military
- Individuals, teams, orgs, collections of orgs
- Business Agility
- IT and non-IT Lean/Agile organisations
- Lean/Agile Software development
11. AGILITY SCIENTIFIC DEFINITION
Definition: Agility is
- a new way of thinking about and preparing for
the unanticipated
- the ability to successfully effect, cope with,
and exploit changes in circumstances.
12. MEASURING MANIFEST AGILITY
A measure of manifest Agility is a function of the difference between baseline
and actual performance over time after a change in circumstances
13. 6 CHARACTERISTICS OF AGILITY
A characteristic of Agility can be:
- Passive: an innate quality or design of the entity(*)
- Active: imply the ability to sense and respond
(*) Entity:
an individual, a
team, or an
organisation.
14. 1. VERSATILITY (PASSIVE). DEFINITION:
It allows an entity to continue to operate effectively as
is, despite changes in circumstances or conditions.
15. 2. FLEXIBILITY (PASSIVE) . DEFINITION:
When the preferred response
does not work, it’s the ability to
try and employ multiple ways
to succeed, the capacity to
move seamlessly between
them, and the ability to learn
more than one way to do
things .
16. 3. RESILIENCE (PASSIVE + ACTIVE) . DEFINITION:
The ability to recover from or
adjust to misfortune, damage,
or a destabilizing perturbation
in the environment; the ability
to repair, replace, patch, or
otherwise reconstitute lost
capability or performance, at
least in part and over time.
17. 4. ADAPTABILITY (ACTIVE) . DEFINITION:
The ability to change work processes and the
organization, to recognize rapid change, changes in
the environment and in shifting priorities, identify the
critical elements of the new situation and trigger
changes accordingly.
18. 5. RESPONSIVENESS (ACTIVE) . DEFINITION:
The ability to react to a change in the environment
in a timely manner; it involves speed and also the
consideration of when would be the appropriate time
to act.
19. 6. INNOVATIVENESS (ACTIVE). DEFINITION:
The ability to do new things and the ability to do old
things in new ways, accomplish something—a
discovery or invention when there is no known
adequate response for the situation.
20. CONTINUUM FROM COMMAND & CONTROL
TO SELF-ORGANISATION
3 Variables:
- Distribution of
information
- Patterns of
interaction
- Distribution of
decision rights to
the collective
21. CONTINUUM FROM COMMAND & CONTROL
TO SELF-ORGANISATION
The 5 structures and
work organisation of
teams & orgs tested in
experiments:
22. EXPERIMENT RESULTS:
MATCHING CHALLENGES WITH STRUCTURE
Edge C2 & Collaborative C2 structures are better
when:
1. The environment is highly connected with frequent
interactions that cause a diminished capacity to
predict
2. A certain level of shared understanding is needed
to succeed in important endeavours because the
high level of interdependency
23. EXPERIMENT RESULTS:
MATCHING CHALLENGES WITH STRUCTURE
Edge C2 & Collaborative C2 structures are better
when:
3. There are rare, very low probability events that can
occurs and bring great opportunities or risks,
together with huge consequences
4. There is a condition of time pressure because the
amount of information and information processing
required exceed the available time
24. EXPERIMENT RESULTS:
MATCHING CHALLENGES WITH STRUCTURE
Edge C2 & Collaborative C2 structures are better
when:
5. The nature and extent of the uncertainty associated
with a situation affects our ability to both formulate
the problem and find an acceptable solution.
25. THE 9 MAIN INHIBITORS OF
AGILITY
1. Restrictions on access to available information
2. Confidence that the best approach in already known & always knowable
3. Passive reliance on approved planning, models, methods
4. Lack of diversity
5. Optimized process & investments with lack of basic research and experimentation &
exploration
6. Lack of proper education and training
7. Resistance to change
8. Intolerance to risks & uncertainties
9. Fear of failure and disincentives
26. Short course on Agility: http://www.dodccrp.org/html4/education_nec2.html