Not a generic interest survey. A data-driven career exploration engine that shows which careers match each student’s strengths.
Dilly’s career exploration engine scores every student across 22 career fields based on their Smart, Grit, and Build readiness dimensions, declared interests, and completed coursework.
As students complete AI curriculum modules, build skills, and engage with the platform, their career matches update in real time—giving counselors and families a living, data-driven view of each student’s career alignment.
This isn’t a one-time quiz. It’s a continuously refined model that gets smarter with every interaction.
Traditional career surveys ask students what sounds fun. Dilly measures what they’re actually ready for.
Career matches are calculated from readiness dimensions—Smart, Grit, and Build—not just self-reported interests. The score reflects demonstrated capability, not aspiration alone.
Every career field includes real job market data: growth projections, median salary ranges, in-demand skills, and regional demand—so students and families see the full picture.
Each career field is tagged with AI resilience data: which careers are AI-proof, which are transforming, and which face significant disruption. Students plan with eyes open.
Career matches aren’t static. As readiness scores change, coursework is completed, and interests evolve, career field rankings update automatically.
See how Dilly’s career exploration engine gives students, families, and counselors a data-driven view of career alignment.