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How does Steppingblocks work?
How does Steppingblocks work?

If you're wondering where our data comes from, start here.

Rob Gannaway avatar
Written by Rob Gannaway
Updated over a week ago

Our technology allows us to longitudinally map individuals. We currently have over 80% of the U.S. active workforce in our database โ€” containing more than 135 million profiles and 1 billion career milestones.

Through our core technology, 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. This technology was built in part through collaboration with the National Science Foundation (NSF).

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, focused on online resumes, profiles, and open-source databases.

Using a combination of Big Data, Machine Learning and Artificial Intelligence, these aggregated sources power both our Digital Career Counselor (the student-facing career planning platform) and our Graduate Insights dashboards (Graduate Outcomes and Graduate Explorer). 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.

To learn more about our data, check out our Data FAQ collection.

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