The missing first layer in early careers
That helps you build a sustainable talent pool of qualified candidates
Engage students year-round across their educational lifecycle.
Create awareness of specific jobs among diverse groups.
Discover candidates with the right conviction & skills to advance in your process.
The right talent for the right job
Increase your offer acceptance rate and reduce attrition by filtering for motivation and potential.
Demystify jobs and break down perceived limitations by giving applicants chances to put themselves to the test.
Save time & cost
Curtail the number of unfit applications & spend time with quality candidates to prevent bad hires.
Create a positive experience
Provide students with tangible and relevant learning experiences year-round. No more hard “no’s”.
Finding the right early talent is increasingly difficult
The industry-education gap is growing
Lacking insights & conviction, students cast a wide net of job applications, hoping that something sticks.
Hiring the right person can feel like rolling the dice
High volume of unfit applications
No predictive performance data
But what if you could
Reduce volume, raise conviction
Assess potential using job-specific skills data
Decrease likelihood of bad hires
We’re here to reduce your workload & improve outcomes
By removing the noise & helping the right careers and the right people find each faster
What are PBJs?
No, not Peanut Butter & Jelly Sandwiches 🥪 (although, yum)
Project-Based Job Simulations (PBJs) are innovative learning experiences that create context & insight for employers & students.
Students learn skills, gain industry knowledge, and experience jobs by working on hands-on challenges.
Employers post PBJs to access unique skills data & assess people doing the job before getting the job.
How it works
Fill in guided form to post a project simulation linked to a specific role.
Share projects with our student community & your existing networks
Assess & Recruit
Advance top performers within your existing recruitment process