# data[].attributes.body
1. Aim: what we want to accomplish for whom and by when

2. Primary Driver (the what): what we need to focus on to achieve our aim

3. Secondary Driver (the where): where in our system (existing structures/processes) we should focus our energy to effect the primary driver

4. Change Idea (the how): what can we try and test/refine; how might we impact the drivers we identified?

# data[].attributes.headline
If we want to improve our AIM, then we need to focus on PRIMARY drivers, through SECONDARY drivers, and one way to do that is through a CHANGE IDEA.

# data[].attributes.subject
If we want to improve our AIM, then we need to focus on PRIMARY drivers, through SECONDARY drivers, and one way to do that is through a CHANGE IDEA.

# data[].attributes.body
Primary drivers: the what

Secondary drivers: the where

Potential change ideas: the how

# data[].attributes.body
The root causes with the most outgoing lines most impact the issue/problem. Star the top 1-2 root causes.

The root causes with the most OUTgoing lines most impact the issue;

The root causes with the most INcoming arrowheads tend to be an effect/symptom of the cause

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1. Starting with one cause, for each pair ask yourself: Is there a relationship between these two?

2. If yes, which causes the other the most? Draw an arrow from one to the other to show directionality from cause to effect.

3. You can decide there is not a causal relationship, but you must pick a direction if you do see a relationship.

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1. Write the problem statement at the top of the poster.

2. Choose 5-8 most significant causes contributing to this problem from your fishbone.

3. Write the most significant causes in a circle around the outer edge of the poster, like the numbers on a clock face.

4. Each person makes a prediction: Quietly consider which cause do you think is most important - write it on an index card (do not share your prediction yet)

5. Construct the diagram

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“Definitely incomplete; possibly incorrect “

# data[].attributes.body
The goal is to generate lots of ideas, not fixate on one.

# data[].attributes.body
The goal is to understand the issue, not solve it (yet).

# data[].attributes.body
A convergent tool for dialogue that helps us determine which root causes are most important to address.