# data[].attributes.body
I think it was super encouraging to see the information presented from a place of “focus on the grows and what you have done well.” It is encouraging to take that back to my team and be able to show them that iReady works and that there is merit in using it with fidelity! I also appreciated seeing the new ways to view the data.

# data[].attributes.headline
I like that we could compare how our students are doing to others in the district, especially by viewing by standards

# data[].attributes.subject
I like that we could compare how our students are doing to others in the district, especially by viewing by standards

# data[].attributes.body
I appreciate the scaffolding for adolescent striving learners who require additional support with foundational reading skills. The engaging user experience, adaptive platform, and modeling of concepts will equip students with the tools needed for accessing grade-level texts.

# data[].attributes.body
“I appreciated the data focus of yesterday's meeting, especially the ability to quickly view and analyze student growth across different times of the year. Comparing diagnostic data by domain, teacher, and grade level really helps our school pinpoint exactly where to focus our instruction and tailor supports effectively. I’m excited to use these insights to enhance student achievement throughout the school year! Thanks!

# data[].attributes.body
Meeting was great. I left with things I could immediately use at different times in the school year. I love being able to see the growth percentages for my different grades and being able to see how much teachers had students completing tasks in iReady.

# data[].attributes.body
I liked that you can review data by domain, grade level, and teacher. This is great information to have when planning for small group instruction.

# data[].attributes.headline
Today's meeting was helpful as we begin reviewing data in SIT teams and preparing for School Improvement plans for next year.  I like that you can review diagnostic data by domain (vocab, comp, etc) and by grade level, comparing Fall to Winter.  This will be helpful to see if we are on track with our SIP goals and identify student needs.  I'm also excited about the "evolution" they mentioned with iReady Pro and being appealing to Middle School students!  Thank you team! 

# data[].attributes.subject
Today's meeting was helpful as we begin reviewing data in SIT teams and preparing for School Improvement plans for next year.  I like that you can review diagnostic data by domain (vocab, comp, etc) and by grade level, comparing Fall to Winter.  This will be helpful to see if we are on track with our SIP goals and identify student needs.  I'm also excited about the "evolution" they mentioned with iReady Pro and being appealing to Middle School students!  Thank you team! 

# data[].attributes.body
I liked that you can see the Median Growth of the school, along with comparing the data between each diagnostic. It's nice to see the breakdown of skills within each grade level as well. It definitely helps with providing direction with student performance.

# data[].attributes.headline
I liked that I could compare data from previous years.  

# data[].attributes.subject
I liked that I could compare data from previous years.  

# data[].attributes.headline
I like the ability to disaggregate the data by teacher, section, etc., which I will be demonstrating in a departent meeting. Also, I'm excited for the i-Ready Pro Features!

# data[].attributes.subject
I like the ability to disaggregate the data by teacher, section, etc., which I will be demonstrating in a departent meeting. Also, I'm excited for the i-Ready Pro Features!