Jobs-to-Be-Done: Designing Human-First Ecosystems in the Age of Artificial Everything
Students make choices in moments of urgency, curiosity, and uncertainty, not on institutional timelines. Grounded in Jobs-to-Be-Done theory, this session shows how you can use AI and learning science to build human-centered ecosystems that meet students in real-time and drive lasting success.
  • Summary

    Students do not operate on institutional timelines. They make decisions in moments of urgency, curiosity, and uncertainty. Grounded in Jobs-to-Be-Done theory, this session reimagines career education as a human-centered ecosystem designed to meet needs in real time. Integrating cognitive load theory and adult learning science, it explores how to reduce mental friction, foster self-determination, and align support with the functional, emotional, and social jobs students are trying to accomplish, featuring scalable, AI-enabled, 24/7 solutions that transform the career support experience.

    Following this program, you will be able to:

    • Learn the principles of Jobs-to-Be-Done theory and apply them to uncover the functional, emotional, and social “jobs” students are trying to accomplish through career services;
    • Examine how a Jobs-to-Be-Done–informed redesign can transform career services through staff credentialing, a coaching-centered model, a 24/7 digital course ecosystem, and an innovation lab that scales just-in-time learning and access; and
    • Apply session frameworks and administrative insights to create, fund, and sustain context-specific innovations within participants’ own institutions, aligning AI-enabled, human-centered solutions with strategic priorities, resource capacity, and measurable impact.

Sponsored by

Rezi

Questions?

Contact NACE Professional Development