# data[].attributes.headline
The collaboration was driven by data, she had a lot of data to support her concern.  She didn't share personal info.... just data.  

# data[].attributes.subject
The collaboration was driven by data, she had a lot of data to support her concern.  She didn't share personal info.... just data.  

# data[].attributes.headline
I would be curious to see what the other teachers contributed to help the teacher.  The teacher had a lot of data to support what she was saying about her student.  I would just like to hear more of the conversation to know what suggestions were given.

# data[].attributes.subject
I would be curious to see what the other teachers contributed to help the teacher.  The teacher had a lot of data to support what she was saying about her student.  I would just like to hear more of the conversation to know what suggestions were given.

# data[].attributes.headline
It was data driven but she also checked into home life and medical issues. The whole child, not just part of the child

# data[].attributes.subject
It was data driven but she also checked into home life and medical issues. The whole child, not just part of the child

# data[].attributes.body
It was all data driven. They didn't include their feelings. They had a lot of data sources that reflected the same data.

# data[].attributes.body
Her response was 100% related to objective statistics and she did not pose her personal feelings about the student. She is focused on what is best for the student as opposed to herself.

# data[].attributes.headline
So, what do they do with that info? What comes next?

# data[].attributes.subject
So, what do they do with that info? What comes next?

# data[].attributes.headline
I like how she shared about home and school.

# data[].attributes.subject
I like how she shared about home and school.

# data[].attributes.headline
The teacher did a great job providing background information.  

# data[].attributes.subject
The teacher did a great job providing background information.  

# data[].attributes.headline
She presented the facts with out admiring the problem.  She seemed very prepared and had put a lot of effort into understanding the student.

# data[].attributes.subject
She presented the facts with out admiring the problem.  She seemed very prepared and had put a lot of effort into understanding the student.

# data[].attributes.body
I think the teacher delved into the students home life and medical history which is something I don't get a chance to do.

# data[].attributes.body
We share data with the subjects we teach in our meetings. We compare iReady, previous grades, MAP scores, and what we are now seeing the classroom.

# data[].attributes.body
The information was organized and thorough.

# data[].attributes.body
I think she answered very straight to the point and factual i feel we answer more with opinions.

# data[].attributes.body
There was a lot of information given from the teacher, and she had a lot of evidence to back it up.

# data[].attributes.body
She gave an idea of what ideas she had already hypothesised while presenting hard data to support the struggles the child was having.

# data[].attributes.headline
Currently we just share what we are observing. We are trying to get there

# data[].attributes.subject
Currently we just share what we are observing. We are trying to get there

# data[].attributes.body
It was data-driven and thorough, several dates/points of collection. We don't currently present data like this but I feel it would be more beneficial to do so.

# data[].attributes.headline
She made sure she had all the needed data to discuss the student and had already looked into reasons for the change in the student.

# data[].attributes.subject
She made sure she had all the needed data to discuss the student and had already looked into reasons for the change in the student.

# data[].attributes.body
I liked that she had a lot of the student's work there to use and reference too. She has been tracking the students and how they progress.
I have not been bringing data along about students but it makes sense!

# data[].attributes.headline
A lot of data points and background information.

# data[].attributes.subject
A lot of data points and background information.

# data[].attributes.headline
She presented both sides (academic & home) as possible causes/issues.

# data[].attributes.subject
She presented both sides (academic & home) as possible causes/issues.

# data[].attributes.headline
Stuck to the presentation of actual data and anecdotal data/observations. Kept emotion out of it.

# data[].attributes.subject
Stuck to the presentation of actual data and anecdotal data/observations. Kept emotion out of it.

# data[].attributes.body
Reviewed real numbers

# data[].attributes.body
I liked how she had a lot of evidence to back up what she was saying and to help describe decrease in the scholars grade.

# data[].attributes.headline
She used facts and focused on data. She stated what she has tried and observations she has made. No opinions were given.

# data[].attributes.subject
She used facts and focused on data. She stated what she has tried and observations she has made. No opinions were given.

# data[].attributes.body
I like the way the data is presented so that she can get some feedback from her team on how to help the student.  I don't do it quite this way but can see where I need to.

# data[].attributes.headline
Focused on data. Teacher had evidence to back up concerns. 

# data[].attributes.subject
Focused on data. Teacher had evidence to back up concerns. 

# data[].attributes.headline
Lots of useful information in a short time.

# data[].attributes.subject
Lots of useful information in a short time.

# data[].attributes.body
Information presented is concise and helpful in painting the picture of the student.

# data[].attributes.body
The teacher focused on specific student data, and got to the point.