# data[].attributes.headline
So far, how has the team been making decisions around which lessons to offer using which modalities? Have there been any surprises? For FY23, are you thinking of changing the modalities for any lessons based on feedback and learning from FY22?

# data[].attributes.subject
So far, how has the team been making decisions around which lessons to offer using which modalities? Have there been any surprises? For FY23, are you thinking of changing the modalities for any lessons based on feedback and learning from FY22?

# data[].attributes.headline
Just a note: Looks like 84.7% of staff feel confident or very confident in their facilitation of blended programming.

# data[].attributes.subject
Just a note: Looks like 84.7% of staff feel confident or very confident in their facilitation of blended programming.

# data[].attributes.headline
Wondering: How best practices and tiny catapult lessons and learnings could be expanded beyond scope of Fellows-facing work and into other settings within OppNet (prob already happening w/ OppIgnited and Partnerships...?), such as staff-to-staff settings?

# data[].attributes.subject
Wondering: How best practices and tiny catapult lessons and learnings could be expanded beyond scope of Fellows-facing work and into other settings within OppNet (prob already happening w/ OppIgnited and Partnerships...?), such as staff-to-staff settings?

# data[].attributes.headline
For UninterruptED, how did actual Fellows usage compare to hopeful Fellows usage? (Seems like course completion was up in FY22) :) 

# data[].attributes.subject
For UninterruptED, how did actual Fellows usage compare to hopeful Fellows usage? (Seems like course completion was up in FY22) :) 

# data[].attributes.headline
Reflections on changes in attendance between Class of 2026 and 2027?

# data[].attributes.subject
Reflections on changes in attendance between Class of 2026 and 2027?

# data[].attributes.headline
Love the feedback comment about knowing your self-worth!

# data[].attributes.subject
Love the feedback comment about knowing your self-worth!

# data[].attributes.headline
Can you share more about what wellness pauses are?

# data[].attributes.subject
Can you share more about what wellness pauses are?

# data[].attributes.headline
Would love to hear more about the intern engagement in the OppIgnited Cafes that you introduced this year. What was the format and were they well attended/received?

# data[].attributes.subject
Would love to hear more about the intern engagement in the OppIgnited Cafes that you introduced this year. What was the format and were they well attended/received?

# data[].attributes.headline
Reflections on the differences in engagement between FY22 and FY21?

# data[].attributes.subject
Reflections on the differences in engagement between FY22 and FY21?

# data[].attributes.headline
How do our teachers / practitioners view our capacity-building to be different/better/more value-add compared to other PDs?

# data[].attributes.subject
How do our teachers / practitioners view our capacity-building to be different/better/more value-add compared to other PDs?

# data[].attributes.headline
How do you (the OppIgnited team) view the changes in culture that you're seeing at the partner companies? 

# data[].attributes.subject
How do you (the OppIgnited team) view the changes in culture that you're seeing at the partner companies? 

# data[].attributes.headline
So much great information included in your report! What is something in your EOY report or not that you did not get to present out on today, but was a highlight in FY22?

# data[].attributes.subject
So much great information included in your report! What is something in your EOY report or not that you did not get to present out on today, but was a highlight in FY22?

# data[].attributes.headline
what might be the reasons for a higher rate of missing data and do we plan to 1) recover the data or 2) mitigate future data loss?

# data[].attributes.subject
what might be the reasons for a higher rate of missing data and do we plan to 1) recover the data or 2) mitigate future data loss?

# data[].attributes.headline
Curious to know/see how these Fellows going out of NY/NYC rate their levels of "fit" once they are in college.

# data[].attributes.subject
Curious to know/see how these Fellows going out of NY/NYC rate their levels of "fit" once they are in college.

# data[].attributes.body
Wondering the relation with fly-in programs shared with Fellows and those who actually participated in those programs.