# data[].attributes.headline
people that are willing to talk about high school experiences, how they got to the place they're at

# data[].attributes.subject
people that are willing to talk about high school experiences, how they got to the place they're at

# data[].attributes.headline
more people who could talk about them actually experiencing discrimination

# data[].attributes.subject
more people who could talk about them actually experiencing discrimination

# data[].attributes.body
Fashion industry people - more telling us about the career

# data[].attributes.headline
Doctors in not so mainstream positions. 

# data[].attributes.subject
Doctors in not so mainstream positions. 

# data[].attributes.body
Doctors in occupations that aren't always recognized for their position because most people aren't aware of their occupation

# data[].attributes.headline
People who are willing to share experiences related to workplace and hiring discrimination, sexism in the workplace, etc

# data[].attributes.subject
People who are willing to share experiences related to workplace and hiring discrimination, sexism in the workplace, etc

# data[].attributes.headline
Other people in professions that are not in the accounting and capital markets field --> more diverse professions

# data[].attributes.subject
Other people in professions that are not in the accounting and capital markets field --> more diverse professions

# data[].attributes.body
Instead of people who work in a certain field, we would suggest having more leaders in business to come and talk to us.

# data[].attributes.headline
People who want to teach us about their career (like the Civil engineering woman) and don't just want to guilt trip us into doing something we're not interested in.

# data[].attributes.subject
People who want to teach us about their career (like the Civil engineering woman) and don't just want to guilt trip us into doing something we're not interested in.

# data[].attributes.headline
A diverse group of presenters who represent different fields

# data[].attributes.subject
A diverse group of presenters who represent different fields

# data[].attributes.headline
For the Technology talks and presentations, actual technology experts and women in coding, instead of women in marketing somewhere within the tech industry.

# data[].attributes.subject
For the Technology talks and presentations, actual technology experts and women in coding, instead of women in marketing somewhere within the tech industry.

# data[].attributes.body
-topics need to be broader to engage a larger number of people

# data[].attributes.body
to see the unique roles each person with different experiences play and how they come together

# data[].attributes.body
It was very repetitive and they said a lot of things we already knew.

# data[].attributes.body
Business and civil engineering (as examples) aren't relevant to everyone

# data[].attributes.body
topics relevant to high school

# data[].attributes.headline
Someone actually in technology/engineering, not someone who works alongside them (more people like the civil engineer)

# data[].attributes.subject
Someone actually in technology/engineering, not someone who works alongside them (more people like the civil engineer)

# data[].attributes.body
entrepreneurs

# data[].attributes.body
webnames person who talked about unicorns
-engaging
-actually informative

# data[].attributes.body
presenters from a variety of different backgrounds & experiences

# data[].attributes.body
More business women from different fields because it was very engineering/accounting focussed