Our technology, built in partnership with the National Science Foundation (NSF), allows us to longitudinally map the U.S. workforce, and we currently have over half the U.S. in our database — over 60 million profiles.

Through our core tech, we are able to use parallel computing to map tens of billions of data points from the first job title to the last and everything in between including salary, skills and degrees.

It takes the guesswork out of career planning with data-driven insights based on the user's interests and goals.

Where does our data come from?

Our dataset is sourced from a variety of public resources including ONET, Indeed, CareerBuilder and LinkedIn. 

Using a combination of Big Data, Machine Learning and Artificial Intelligence, these aggregated sources power both our student-facing career planning platform and our 5, 10 and 20-year graduate outcomes reports. We help answer the following questions without any input from the institution or the need for manual surveys:

  • Where are my students working? 
  • How much do they make? 
  • Are they working in their field of study? 
  • Did they get another degree? 
  • What skills do my successful graduates have?

What is the National Science Foundation (NSF)?

The NSF was created by Congress "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense ... " and to generate knowledge that transforms the future.

The NSF's approach to monitoring the areas of science and engineering keep the organization closely connected with the most promising people and projects. Steppingblocks is a proud partner.

What can Steppingblocks data do for you?

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