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Fast-Feedback Operations for Ill-Defined Problems:
Investigating and Acting in Poorly Understood,
Conflict-Affected Local Contexts
International Studies Association Conference (March 17, 2016)
John Hoven and Joel Lawton
Abstract: Locally focused peacebuilding and stability operations need fast, in-depth
understanding of an operational context where unknown unknowns are important.
Qualitative interviewing and causal inference methods do that in depth. Lean Startup
product innovation does it fast. We use both. Our goal is to provide this capability to
soldiers at the lowest levels, because they have the most direct, daily contact with the
local people. For that, we need a clearly articulated, easy-to-use methodology for ill-
defined problems. Part I describes the essential basics, and Part II discusses how to apply
it to conflict-affected environments. The key attribute of the methodology is fast-
feedback learning, so we refer to it as Fast-Feedback Operations.
About the Authors
John Hoven <[email protected]> (www.linkedin.com/in/johnhoven) is an innovation
broker between those who do qualitative analysis and those who need its capabilities for
fast-feedback operations and assessment. He recently completed a 40-year stint analyzing
complex, dynamic relationships in merger investigations, as a qualitative microeconomist
in the U.S. Justice Department's Antitrust Division. Dr. Hoven earned a Ph.D. in
economics from the University of Wisconsin at Madison, an M.S. in physics from the
University of California at Berkeley, and a B.A. in mathematics and physics from the
University of Montana at Missoula. He is also an accomplished bassoonist, performing
regularly in the D.C. area at lunchtime concerts of the Friday Morning Music Club.
Joel Lawton <[email protected]> (www.linkedin.com/in/joellawton0125) is a
former member of the U.S. Army’s Human Terrain System (HTS), U.S. Army, Training
and Doctrine Command (TRADOC). His work with HTS included working in the U.S.
and two tours to Afghanistan where he conducted socio-cultural research management,
collection, and support; as well as open-source intelligence analysis and qualitative data
collection and analysis. Joel served in the USMC, deploying to southern Helmand
Province in 2009 in support of combat operations. Further, Joel is an advocate of
qualitative analysis and its use in Military Intelligence collection efforts. He currently
works as an Intelligence Analyst for the TRADOC G-2 at Fort Eustis, VA and resides in
Newport News, VA.
2
Fast-Feedback Operations for Ill-Defined Problems, Part I:
Investigating and Acting in Poorly Understood Local Contexts
Problem Solutions
"US forces have many opportunities
to interact with the local population
in the normal course of their duties
in operations. This source perhaps is
the most under-utilized HUMINT
collection resource." (Army FM 2-
22.3 2006: 5-22)
"… relationships, people, cultural
economics, human terrain … You
really need to analyze in depth the
linkage between your turf and the
problems." MAJ Thornton, in SWJ
Editors, "Thoughts from the Field
on Kilcullen's 28 Articles (Pt. I),"
Small Wars Journal Blog Post
(April 19, 2007)
Research tools
o qualitative interviewing
o qualitative causal inference
Entrepreneurship tools
o Lean Startup
Development tools
o Adaptable (value chains,
private sector)
o Local focus (M4P, MaFI)
o Conflict affected areas
Practitioner know-how
o Special Operations Forces
(Human Domain)
o Civil Affairs (active
military)
o Peacebuilding case studies
3
Salesmen call on customers. Researchers and decisionmakers go to conferences. All of us
attend meetings. If you want to understand people and build relationships, nothing beats a
face-to-face conversation.
We know that, all of us. However, we ignore it, even when that understanding is critically
important, when we believe it simply can't be done.
So in this paper, we are going to share with you a collection of practical tools that will
enable minimally trained soldiers at the lowest levels to conduct probing interviews,
analyze their findings, and take action with custom-tailored, constantly evolving
operational plans.
These practical tools are in common use outside of the US military and intelligence
system. They are specifically designed to get fast, in-depth understanding of an
operational context where unknown unknowns are likely to be present and important.
To give you a sense of what that is like, my background1 is a few decades of experience
investigating mergers for the Antitrust Division of the US Justice Department. Often
these were industries I had never heard of. Starting from clueless, we have three weeks to
get to a recommendation on whether to open a full-blown investigation. That's three
weeks of interviews to discover (a) a particular line of business for which (b) some
customers have no good alternative except the merging companies, and (c) there are no
likely potential entrants. I investigated all manner of industries, from chicken farms to jet
fighter radar. Always, the key issues were to understand the capabilities and relationships
of the actors in one specific context. That understanding was obtained almost entirely
from qualitative interviewing and qualitative causal inference.
Now let me make that sound simple. Qualitative interviewing is conversational
interviewing. It's the same sort of conversation we have when we meet someone
interesting for the first time. We listen intently, ask follow-up questions, discover
answers to questions we were too clueless to ask.
Qualitative causal inference is simple, too. We do that whenever we do our own event or
vacation planning. We make plans, get feedback, revise our plans, and we keep iterating
until the event is over and done.
It really is that simple.
Well, almost. The one really hard bit is persuading US military personnel to consider a
bundle of tools that none of their professional peers have taken any interest in. That is
genuinely compelling evidence that the tools are not worth considering. The business
literature calls this hurdle the "fuzzy front end of radical innovation." One way over the
hurdle is to guess, or learn, enough about the intended use to present a version that is
concrete enough for others to see the vision. That is the aim of this paper.
1 Some sections of this paper just seemed easier to write in the first person. For those sections, "I" refers to
John Hoven.
4
Conversational Interviewing: Learning by Leaps
Conversational qualitative interviewing is the best part of the toolkit we call Fast-
Feedback Operations. I vividly remember one merger investigation that started when we
heard that the merging parties were the only suppliers of an essential device for
steelmaking. I did a cursory internet search, and discovered scores of firms that make
every conceivable variant of the device. You can choose from a menu of feature options,
or you can hire a high-end, custom-design firm. That was enough for me. But the lawyer
I was working with insisted that we interview at least one steelmaker.
And we learned that steelmakers buy the really cheap kind. But their requirements are so
distinctive that no one makes it except the two merging parties. We interviewed a couple
of internet companies, and they confirmed that. They don't have the capability to make it.
And then we learned that manufacturers outside the US make the steelmaking devices –
and US steelmakers buy them for their overseas plants. These are trusted suppliers. They
could readily enter the US market.
Wrong again. And for a totally unexpected reason. Steelmakers rely on the suppliers to
maintain these devices – and the know-how to do that is different for every steel plant. So
you must have this know-how to be a successful competitor, and you can't get it unless
you are a successful competitor. The foreign suppliers don't have it, and couldn't get it.
Human relationships of all kinds are as nuanced as those we discovered in that
investigation. Consequently, investigating them requires a way to get answers to
questions we are too clueless to ask. Surveys and specific information requests don't do
that. Interviews do, because you can ask probing follow-up questions instantly, as soon as
you hear something unexpected: "What do you mean? Can you give me an example?"
That fast feedback is the key to learning about "relationships, people, cultural economics,
human terrain … the linkage between your turf and the problems." (MAJ Thornton, op.
cit. 2007)
And it is fun. It takes some time to become comfortable conversing about things you
know nothing about, but it is not hard to learn. A few hours of predeployment training
may be sufficient for lower-level Army soldiers.
5
Investigating relationships is easier than you think
The analytic approach that is used in merger analysis provides crystal-clear direction to
investigating relationships, and it is applicable to almost any sort of relationship. Figure 1
offers a simple, visual roadmap.
ActorA and ActorB
may be individuals,
organizations, or
groups defined by an
analyst –e.g., "youth
who are deciding
whether to be
terrorists."
Each actor gives
something and gets
something – GoodA
for ActorB, GoodB
for ActorA. These
may be noneconomic
goods (a sense of
belonging). The
relationship may be
coercive ("your
money or your life").
Figure 1 serves as a checklist for these key questions:
What does each entity get out of the relationship? (GoodA for ActorB, GoodB for
ActorA)
Why do they value those goods? (wants)
How are they able to provide those goods? (key capabilities)
Who else could readily supply those goods? (ActorA2 for GoodA, ActorB2 for
GoodB)
What else would be a good substitute, or at least the next-best alternative?
("GoodX from ActorX" for GoodA, "GoodY from ActorY" for GoodB)
What future commitments and expectations sustain the relationship? (compliance
commitments and benefits)
What mechanisms exist to monitor compliance with these commitments and
expectations? What are the consequences of noncompliance? What incidents of
noncompliance have occurred?
Figure 1. Analyzing Relationships
RelationshipType
● Compliance commitments and benefits ● Noncompliance monitoring and consequences
incidents
Actions
Attributes ● key capabilities ● wants
ActorB
Actions
Attributes ● key capabilities ● wants
ActorA
GoodA
GoodB
GoodY from
ActorY
GoodX from
ActorX
ActorA2
ActorB2
6
Qualitative Hypothesis Testing in a Specific Context (Sample Size of One)
At its most basic, practical level,
qualitative hypothesis testing is simple
and direct. My initial hypothesis in the
steelmaking-device merger was soundly
refuted by just two interviews. A
steelmaker (ActorB) explained why they
need a device that is designed
specifically for steelmaking (GoodA). A
manufacturer of similar devices (GoodX
from ActorX) confirmed that their
product was a poor substitute, and
explained why they can't make a device
that works for steelmaking.
In the initial exploratory stage of a
qualitative investigation, the evidence
we collect is nearly all evidence
AGAINST our hypotheses, for two
reasons. First, we don't know enough to
articulate a defensible hypothesis.
Typically, it takes some investigation
just to define the categories that we call
GoodA, GoodB, ActorA, and ActorB.
Secondly, as we gain confidence in a
hypothesis, we explicitly search for
evidence against it. At this later stage,
the hypothesis is already well confirmed,
so these contrary cases are exceptions.
We use them to define the outer
boundaries of the context where our hypothesis is strongly confirmed.
Cause-and-Effect: What Happens, Here and Now, if we do A, B, and C?
The hypothesis testing in Figure 2 is for a static hypothesis: Is GoodX from ActorX
currently a good substitute for GoodA? In contrast, an operational goal is dynamic
change – e.g., facilitating entry by GoodX from ActorX, in order to give ActorB a better
option than GoodA. ActorB might represent "youth who would leave the terrorist life if
they had a job that could support a wife and family." Or ActorB might represent an
agrifood trader who would expand his business, if he had some alternative to the power
brokers that control business opportunities. More generally, conflict is frequently a
competition for lootable rents – especially monopolizable natural resources and the
power of government. In those instance, choice (a new "GoodX from ActorX") and
market-based competition can take away the lootable rent, and the motive for conflict.
Figure 2. Qualitative Hypothesis Testing
Actions
Attributes ● key capabilities ● wants
ActorB
Actions
Attributes ● key capabilities ● wants
ActorA
GoodA
GoodB
GoodX from
ActorX
ActorA2
Evidence AGAINST
Evidence FOR
7
Problem Diagnosis
Figure 3 illustrates the key elements in a cause-and-effect chain for problem diagnosis.
Symptoms and root causes are like the scenic backdrop of a play. The primary focus of
the investigation – the actors and events on the stage – are the ongoing contributing
causes, linked by "ands" and "ors." Those in Figure 3 are generic types of causes. A
context-specific investigation would use them as a starting point, quickly focus on one
significant aspect of the problem in the local context, investigate that in depth, and
develop a much more locally nuanced chain of cause-and-effect.
Symptoms
----------------------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------------------
Root causes
Sources:
Davis, Paul K. (2011) "Primer for Building Factor Trees to Represent Social-
Science Knowledge,” in Proceedings of the 2011 Winter Simulation Conference,
ed. by S. Jain, R.R. Creasey, J. Himmelspach, K.P. White, and M. Fu
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.416.2076&rep=rep1&t
ype=pdf
Davis, Paul K. and Kim Cragin (2009) "Summary," in Social Science for
Counterterrorism: Putting the Pieces Together, ed. by Paul K. Davis, and Kim
Cragin, Santa Monica, Calif.: RAND Corporation. xvii – li
http://www.rand.org/pubs/monographs/MG849.html
“Counterterrorism that attacks only one of several “or” branches
will likely prove ineffective because of the substitutions. On the
other hand, successful attacks on any of the “and” branches might
prove to [be] quite effective.” (Davis and Cragin 2009: xxxix)
Figure 3. Excerpt from Davis (2011),
"Figure 7: Factors in Terrorists-
Organization Decision Making"
8
Solution finding
Finding solutions to a problem – a new "GoodX from ActorX" – is a search for a
solution-oriented chain of cause-and-effect. The following excerpt gives a flavor of the
search process:
In 1990, Jerry Sternin was working for Save the Children, the international
organization that helps children in need. He'd been asked to open a new office in
Vietnam… "We were like orphans at the airport when we arrived in Vietnam," he
recalled. "We had no idea what we were going to do." …
Sternin …traveled to rural villages and met with groups of local mothers. The
mothers divided into teams and went out to weigh and measure every child in their
village...
Sternin asked them, "Did you find any very, very poor kids who are bigger and
healthier than the typical child?" The women, scanning the data, nodded and said,
"Có, có, có." (Yes, yes, yes.)
Sternin said, "You mean it's possible today in this village for a very poor family to
have a well-nourished child?"
"Có, có, có."
"Then let's go see what they're doing."
Sternin's strategy was to search the community for bright spots – successful
efforts worth emulating…
For one thing, bright-spot moms were feeding their kids four meals a day (using
the same amount of food as other moms but spreading it across four servings rather
than two). The larger twice-a-day meals eaten by most families turned out to be a
mistake for children, because their malnourished stomachs couldn't process that much
food at one time…
The bright-spot mothers were collecting tiny shrimp and crabs from the rice
paddies and mixing them in with their kids' rice… The mothers also tossed in sweet-
potato greens, which were considered a low-class food. These dietary improvisations,
however strange or "low class," were doing something precious: adding sorely needed
protein and vitamins to the children's diet.
As an outsider, Sternin never could have foreseen these practices. He knew
nothing about sweet-potato greens. The solution was a native one, emerging from the
real-world experience of the villagers, and for that reason it was inherently realistic
and inherently sustainable…
The community designed a program in which fifty malnourished families, in
groups of ten, would meet at a hut each day and prepare food. The families were
required to bring shrimp, crabs, and sweet-potato greens. The mothers washed their
hands with soap and cooked the meal together. Sternin said that the moms were
"acting their way into a new way of thinking."
Heath, Chip, and Dan Heath (2010) Switch: How to Change Things When Change is
Hard, pp. 27-29
Figure 4 illustrates a solution-oriented chain of cause-and-effect. The components of this
example have been selected based on academic literature and my personal experience. A
9
similar sort of generic causal chain could be designed for a specific type of operational
context. During operations, that generic chain would be custom-tailored for the specific
operational context.
Figure 4. "Cause-and-effect" chain for solutions ("Theory of change")
Iterate rapidly. Pivot sharply as needed to
explore more promising opportunities.
Lean Startup
Try out one very small piece of a
solution. The goal is simply to learn.
Evidence AGAINST
Evidence FOR
Build credibility
"What could be done?"
Discover a destination.
AND
OR
Assemble a searchable collection
of "bright spots" – successful
efforts worth emulating – together
with detailed descriptions of the
context, problem, and solution.
Copy "bright spots"
from similar contexts
Design a program
("GoodX by ActorX")
Build the concept
What is a first step?"
Find local "bright spots"
Recruit local change agents
("ActorX")
AND
10
Summary of the essential basics
Conversational interviewing is easy to learn, and it is an essential tool for learning
about "relationships, people, cultural economics, human terrain … the linkage
between your turf and the problems." (MAJ Thornton, in SWJ Editors, "Thoughts
from the Field on Kilcullen's 28 Articles (Pt. I)," Small Wars Journal Blog Post,
April 19, 2007)
A few key questions are a good start for analyzing any sort of human relationship.
Figure 1 offers a visual checklist.
Yes, there are well-established methods to discover and test hypotheses for a
specific context (sample size of one) – and the essential basics are easy to do.
A chain of causal factors linked by "AND" and "OR" is a simple and hugely
valuable device to help you think more clearly about ill-defined problems,
solutions, and fast-feedback operations.
Build credibility and build the concept with fast, simple experiments that are
designed simply to learn.
11
Fast-Feedback Operations for Ill-Defined Problems, Part II:
Investigating and Acting in Conflict-Affected Local Contexts
Problems Solutions
[R]esearch at more aggregate levels … has been less useful
for … sub-national patterns of conflict (for instance, why
conflict happens in some communities or regions but not
others), variation in types, forms and consequences of violence
(for instance, why some people are targeted by armed groups,
or why some wars are very brutal while others are less so), and
variation in the consequences of violent conflict (for instance,
why and how some groups and regions benefit … while others
lose out).2
… the factors that
explain … violent
conflict are closely
interrelated with how
people behave, make
choices and interact
with their immediate
surroundings….3
[A]ny local population includes a multitude of political,
economic, social and religious groups, which each has its own
goals, beliefs, customs and attitudes…
[P]olicy-makers and practitioners continually deplore
that while they know many of the standard peacebuilding
models, templates and techniques that they use are
ineffective … no one has yet offered a convincing alternative.4
Future examinations of
local impacts should
use qualitative
inquiries … and
consider multiple local-
level factors…5
2 Justino et al. 2013: 3 3 Justino et al. 2013: 3 4 Autesserre 2014: 494, 497 5 Autesserre 2014: 495
12
Locally focused peacebuilding and stability operations need fast, in-depth understanding
of an operational context where unknown unknowns are important. Our goal is to provide
this capability to soldiers at the lowest levels, because they have the most direct, daily
contact with the local people. For that, we need a clearly articulated, easy-to-use
methodology for ill-defined problems. Part I of this paper describes the essential basics,
and Part II suggests a way to adapt it to conflict-affected areas.
The methodology we seek needs to be flexible enough to become a theory of conflict in
one specific context. It also needs to be flexible enough to learn from ad hoc theories of
conflict in similar contexts, and from well-researched theories of conflict from a variety
of academic disciplines, macro-level data like PMESII/ASCOPE, and macro-level
conflict analysis tools:
The dynamics between a given value chain and the wider context …vary from
case to case, and not all aspects of a conflict need to be taken into account in
designing, implementing and monitoring every value chain intervention. Standard,
often quite macro-level, conflict analysis tools …are useful as a starting point for
understanding the wider conflict context, including its profile (the history of the
conflict, relevant demographic, geostratic and geographic factors, and so on),
dynamics (tracing changes in a conflict trajectory over time and looking at
conflict levels and types); actors (including parties to the conflict, potential
spoilers, parties to peace, third parties like mediators, political actors, civil society
leaders, business, NGOs, religious institutions like churches or mosques, etc); and
causes and drivers of conflict (political, social, economic and other issues). Value
chain practitioners should build on an initial, macro-level conflict analysis,
narrowing it down to look at conflict-related variables as they relate directly to a
chain. (Gündüz and Klein 2008: 2)
A value chain is a social network
This quote offers a good place to begin:
Violence is used strategically by certain groups of actors – the entrepreneurs of
conflict… Then others (the followers) get caught up in this process, either by
choice or by force. This starts a dynamic process of interaction whereby the
behaviour (or expected behaviour) of one group will determine and be affected by
the (expected) behaviour of other actors. (Justino et al. 2013: 15)
This quote characterizes violence as a sort of business decision. If we take that
perspective, we can use the analytic frameworks of value chain analysis (in economic
development) and merger analysis. Those frameworks are already flexible enough to
accommodate all manner of relationships (including coercive relationships). They are
even flexible enough to accommodate noneconomic goods – e.g., reputation and trust –
because those are core concerns for understanding business relationships, just as with any
other human relationship.
13
For entrepreneurs of violence, the value chain might look something like this:
Inputs: unemployed youth, social networks that can be redirected to violence,
lootable rents (monopolizable natural resources and the power of government)
Intermediate Outputs: Grievances, Identities that support the desired conflict
Output: Successful competition for lootable rents, or resolution of grievances
To illustrate the analysis, Figure 5 is a
value chain for broiler chickens
(chickens for eating, rather than egg-
laying). The actors in these boxes could
be categories defined for analytic
convenience, or they could be names of
individual businesses in one specific
value chain.
Typically, a broiler chicken slaughter
plant will have long-term relationships
with one hatchery, one feed mill, and a
number of independently farmer-owned
broiler chicken houses. It will also have
established relationships with three
types of customers: fast food, retail, and
food service & export.
Farmers who own and operate broiler chicken houses have no access to customers except
through a broiler chicken slaughter plant. Consequently, if their region has only one plant,
that plant would appear to have "market power" (the term used in merger analysis), or
simply "power" (the term that is used with varied meanings in conflict analysis).
Moreover, it costs a few hundred thousand dollars to construct a new chicken house, and
it's not good for anything else. A substantial part of that investment may even be dictated
by the specific requirements of one slaughter plant. Consequently, a grower is "locked-
in" by this sunk investment, perhaps to a single slaughter plant.
These conditions would seem to offer a ripe opportunity for exploitation, and even
violent conflict: "Vertical relations characterized by inequality in benefits, power and
opportunity can instigate violent conflict." (Saperstein and Campbell 2008: 6)
Why doesn't it?
One last pillar in the micro-level approach to the analysis of violent conflict is the
recognition that violence only emerges in very specific circumstances. Some
societies, despite having conditions pre-disposing them to violent conflict, such as
horizontal inequality, polarisation and natural resource rents, do not descend into
conflict…
Figure 5. A value chain is a social network
Feed mill Hatchery
Broiler chicken houses
GrowerA GrowerB GrowerC
Food service
& export Retail Fast food
Broiler chicken slaughter plant
14
In general, violent conflict is unlikely to take hold if a country has a
framework of widely-agreed rules, both formal and informal, that govern the
allocation of resources and rents and the peaceful settlement of grievances.
(Justino et al. 2013: 12)
The obvious candidate for peaceful settlement of grievances is contract enforcement
through the legal system. However, that is a costly, uncertain undertaking, so it is an
atypical way to enforce contract compliance in any industry, even in the U.S. Instead, the
commonplace strategy is reliance on informal "relational contracts" – agreements or
understandings of good conduct that are enforced through loss of reputation and future
business, rather than through regulatory oversight or the legal system. (MacLeod 2007)
For example, a broiler chicken "relational contract" might look like this:
What are the terms of the “relational contract”?
o Trust – the slaughter plant will act consistently and keep promises.
o Nondiscrimination – all growers are treated equally (including those who
are located far away from any competing slaughter plant). The exceptions
are few, explicit, and generally accepted – e.g., incentive payments and
formal long-term contracts for new growers.
o Loyalty – the slaughter plant won't cut off growers unless the plant is shut
down or sold.
o Long-term profitability – the slaughter plant provides accurate, honest
estimates of the expected cash flow to growers who take out loans for new
construction or upgrades; and if there are unforeseen negative events (like
increased energy prices), the slaughter plant raises compensation to
growers enough that they can still make their loan payments.
How does breach of contract result in the loss of future business?
o Growers choose not to invest in new houses or upgrades.
o Growers choose other slaughter plants, in circumstances where this does
not imply disloyalty – e.g., when a young grower buys or inherits the
family farm
o Banks deny loans for the slaughter plant's growers.
These two sets of questions are the
"compliance commitments" and
"noncompliance consequences"
referenced in Figure 6 (taken from
Figure 1).
RelationshipType
● Compliance commitments and benefits ● Noncompliance monitoring and consequences
incidents
GoodA
GoodB
Figure 6. Compliance
commitments
15
The great advantage of these informal contracts is that they are enforceable through
unilateral conduct (I’ll take my business elsewhere) rather than by persuading some third
party (judge, regulator, or legislative body).
In a conflict environment, of course, enforcement through the legal system may be
especially dubious, and the unilateral conduct that enforces relationships contracts may
be a threat of violence. Nevertheless, enhancing relationship contracts may be a conflict
antidote that is easier to implement than reforming the legal system. For example, one of
the great trust-building innovations of the internet is the 5-star user rating system. So
consider the following. Throughout the developing world, agribusiness is conducted
almost entirely through informal markets, because growers cannot provide the consistent
quality that is demanded by supermarkets and export markets. Traders pick up whatever a
farmer has, and take it to the city wholesale market. Small retailers go there at 3am to
visually inspect and buy their daily produce. Now suppose that a cellphone app for rating
traders and growers were made available, using the rough indicators of quality (color,
smell, etc.) that local traders use among themselves. With that, growers and traders could
develop a reputation for delivering a known quality, expand their markets, offer more
options to growers and retailers, and build the local economy.
Competing value chains are a cooperating, competing social system
Figure 7 – a simple extension of Figure 5 –
helps focus the search for factors that
contribute to conflict in a specific context.
Instead of a single value chain governed
by a single actor – say, PlantA – Figure 7
shows all of the actors engaged in this
activity (PlantA, PlantB, PlantC, and their
value chains).
We can zoom out even further by
relabeling the boxes to highlight apparent
sources of conflict in the specific context
we are investigating. The boxes might be
sectors of industry or employment that are
dominated by particular ethnic groups, or
they could be inputs that are monopolized
by ruling elites (land, water, government
regulation).
Charting them in a value chain prompts us to look for competitive alternatives to
monopolized inputs, connectors for polarized groups (e.g., business relationships that
build trust, capabilities, and positive social interactions), and better options than terrorism
(job opportunities for unemployed youth).
Figure 7. Competing value chains are a
cooperating, competing social system
Food service
& export Retail Fast food
Broiler chicken slaughter plant
PlantC PlantB PlantA
Feed mill Hatchery
Broiler chicken houses
GrowerA GrowerB GrowerC
16
With that, we can begin a more focused investigation of questions like these:
Actors and Relationships
What are value chain actors’ relationships with conflict actors? Where are
there overlaps?
Does the value chain strengthen existing collaborative and mutually beneficial
links between actors across conflict divides?
Conversely, does it reinforce divisions between communities? Is it located in a
sector that is dominated by a certain group or in a specific region only,
without benefit for others?
Are products and services generated by the chain broadly accessible and do
they benefit the full spectrum of the population, including across conflict
divides?
Conversely, do people see chain products and services benefitting only certain
parts of the population and in a way that could generate resentment and
tensions?
Conflict Analysis of Value Chain Participants and Relationships
Do value chain group identities correspond to those featuring in the conflict?
How is power wielded among value chain actors? Who holds it and who
benefits from it?
Do any of the identified conflict actors have a stake in the value chain and if
so, in what form?
Do relationships exist between value chain actors and conflict parties and, if
so, what is their nature?
Who within the value chain profits or benefits from the conflict and who loses?
Gündüz and Klein 2008: 6, 15
Conclusion
Our goal is to develop a clearly articulated, easy-to-use methodology for ill-defined
problems – in particular, for use by lower-level soldiers in peacebuilding and stability
operations. Part I of this paper emphasizes the ease of use. Part II emphasizes how hard
the problems are, and urges consideration of a toolkit that is specifically designed for
these kinds of problems.
We should emphasize that if the toolkit works as well as we believe it will, these ill-
defined problems will still be really hard. Moreover, our project is itself an ill-defined
problem, so we are using the toolkit to develop it.
17
References
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