30.05.2013 Views

2012 Best Practices for Government Libraries

2012 Best Practices for Government Libraries

2012 Best Practices for Government Libraries

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Conversational Patterns That Support Telling Truth to Power<br />

By Nancy M. Dixon, Principal Researcher, Common Knowledge Associates<br />

Originally published on January 27, <strong>2012</strong> in Conversation Matters<br />

116<br />

BEST PRACTICES <strong>2012</strong><br />

The Defense Intelligence Agency’s (DIA) Knowledge Lab faced the challenge of how<br />

to move accurate intelligence up the chain of command. Too frequently the<br />

intelligence analysis, painstakingly generated by front line analysts, was delayed<br />

and often severely modified by a chain of superiors be<strong>for</strong>e it reached policy makers<br />

who could act upon it.<br />

Zeke Wolfberg, the Director of the Knowledge Lab and I, as the knowledge<br />

management consultant to the Knowledge Lab, recently published an article about<br />

how we addressed that problem at DIA. The article appeared in Reflections, the<br />

SOL Journal on Knowledge, Learning and Change (Vol. 10, 4). I provide a summary<br />

of the article in this post. The full article can be downloaded under My Publications<br />

on the left.<br />

DIA provides military intelligence to prevent strategic surprise and deliver a<br />

decision advantage to warfighters, defense planners, and policymakers. The<br />

analysts who develop intelligence assessments are divided into teams of 30 plus<br />

with each team focused on a different region (e.g. South East Asia) or a different<br />

functional area (e.g. missiles), as well as task <strong>for</strong>ces that are periodically assembled<br />

to address crises (e.g. the Mumbai terrorist attack).<br />

The intervention we undertook to enable telling truth to power, was called “Critical<br />

Discourse.” The <strong>for</strong>mat was to bring together a team of analysts along with their<br />

supervisor, to jointly analyze the actual conversations that occurred between<br />

members of the team and between team members and their supervisor. The<br />

conversation analysis was based on the work Chris Argyris, using his left and right<br />

hand case <strong>for</strong>mat to create scripts of difficult past conversations. Each analyst and<br />

supervisor selected and wrote out the dialogue that occurred in three difficult<br />

conversations they had engaged in. Each team met over a period of three months<br />

to analyze each other’s cases and to practice Argyris’ Model II skill set with the goal<br />

of reducing the misunderstandings occurring in their conversations. Each team<br />

member also received individual coaching between group meetings.<br />

Model II is a way of interacting that results in knowledge and learning <strong>for</strong> everyone<br />

who is engaged in the conversation. The goal of Model II interaction is not to win an<br />

argument, but to create a space <strong>for</strong> joint learning. A person using the Model II skill<br />

set holds in their mind the underlying assumption that, “I have part of the<br />

in<strong>for</strong>mation and others have other parts that I may not be aware of.” The skills are<br />

used to get all the in<strong>for</strong>mation that is available and pertinent into the conversation.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!