From Diagnosis to CV: Bridging the Employability Gap with Data
Employers often write off neurodivergent hires based on a medical diagnosis. By transforming daily life-skill execution into empirical data, we change the narrative.
If an employer looks at a piece of paper that lists 'Autism, Learning Disability, Epilepsy,' their neuro-typical hiring biases often kick in. They see risk, not capability. We have to change the data they are looking at.
While architecting Independent Me, the core goal was data translation. Every time a user successfully completed a routine or managed a sensory overload, that event was logged securely.
This isn't just health tracking; this is a Capability Proof Engine. By mapping these actions against Scottish educational frameworks (like GIRFEC and SHANARRI), we translate raw application usage into a functional, data-backed CV.
We force the conversation away from limitations and toward the empirical evidence of their consistency and execution.
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