Schools are being asked to identify, from primary, the children who'll need extra support to stay in education, employment or training at 16. StudYear does it as a strengths-and-needs view that widens support — never a label — computed from data schools already generate, with a one-click evidence pack.
Read the deeper piece on spotting NEET risk without labelling a child. It pairs with the student Career Passport and the teacher tools, so pupil and school data line up.
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FAQ
Does it label children?
No — it's strengths-and-needs; context only unlocks help and no child sees a prediction.
Where does the data come from?
From attendance, fluency, engagement and behaviour the school already records.