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The First Rung
Our Team
● Seth Saler - B.A. Furman ‘14
● Grant Kozak - B.A. Furman ‘13
● Charlie Weston - B.F.A SCAD ‘13
● Joe Maley - B.S. Clemson ‘14
The Problem
● Graduates have difficulty finding jobs they qualify for.
● Employers have difficulty finding qualified graduates.
● There is no service that caters to this discrepancy.
The Solution
● A two-pronged product
o For the student:
 a clear, clean user interface
 a streamlined submission process
 access to accurate and relevant postings
 curated lists of jobs with matching qualifications and interests
o For the employer:
 access to qualified and specialized candidates
 a user interface that follows the “inbox” analogy
 automated sorting and “sifting” of applicants
 ability to search for students/graduates with matching criteria
The Product: Students
● Ability to search and apply; quick and pain-free
o Ease of engagement
o Ease of use
● A Tinder or Pandora-inspired binary decision tree
● A clean user interface with a focus on mobile
● One-time data entry with résumé and education/job
information integration
o One time form entry
o 3rd party integration through web extensions
● Career Fair mode
o Students/graduates flag themselves as “searching”
and companies can reach out to individuals and
encourage them to apply
The Product: Employers
● Publish jobs to careers page, other sites, and GradLaddr
● Progress-tracking and automatic applicant notification, including:
o Current application status
 Résumé & application received, read, processed, etc.
 Scheduling phone screens, in-person interviews, etc.
o Current job opening status
o Number of other applicants
● Replicate workflows, job listings, etc.
● Career Fair mode:
o Ability to search for students/graduates that have flagged themselves
“searching”
The Competition
● Indeed
● LinkedIn
● Monster
● Craigslist
● CareerBuilder
● University Job Boards
What makes our search different?
→ The Magic Box
The Magic Box
● Labor genome project
o Jobs and job skills are assigned
characteristics or “genes”
o An n-dimensional database of genes
corresponds to these characteristics
o Similar job listings are generated using
a modified “least squares”
● Through this process:
o We match students directly to job
listings
o We provide employers with access to
qualified and specialized students
Our Niche
● Not a passive connection network
o LinkedIn creates a placebo effect
● Not simply a job listing network
o Monster demands unnecessary and ineffectual efforts
● We focus on making more success for college students and
graduates
o Research, internships, and experience jobs
● We focus on bilateral interaction
o Better and transparent dialogue
Our Potential
● Location and proximity based employment
● GradLaddr scholarship fund
● Partnerships and recruitment with University Career
Services
● Anonymous review process for professors, colleagues,
or classmates
● Automatic data pulls from University resources
Our Production Cycle
● Initial round of funding mid Q1 2015
● Exploration of sales venues & prototyping throughout
Q1 and Q2 2015
● Possible pilot program Q3 2015
● Product will reach deployment stage before culmination
of winter 2015
Next Steps
● Consider all monetization methods
● Consultation with businesses about HR practices
● Roll out of front end client (student interface)
● Design and implementation of back end server
● Pilot program

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GradLaddr Presentation

  • 2. Our Team ● Seth Saler - B.A. Furman ‘14 ● Grant Kozak - B.A. Furman ‘13 ● Charlie Weston - B.F.A SCAD ‘13 ● Joe Maley - B.S. Clemson ‘14
  • 3. The Problem ● Graduates have difficulty finding jobs they qualify for. ● Employers have difficulty finding qualified graduates. ● There is no service that caters to this discrepancy.
  • 4. The Solution ● A two-pronged product o For the student:  a clear, clean user interface  a streamlined submission process  access to accurate and relevant postings  curated lists of jobs with matching qualifications and interests o For the employer:  access to qualified and specialized candidates  a user interface that follows the “inbox” analogy  automated sorting and “sifting” of applicants  ability to search for students/graduates with matching criteria
  • 5. The Product: Students ● Ability to search and apply; quick and pain-free o Ease of engagement o Ease of use ● A Tinder or Pandora-inspired binary decision tree ● A clean user interface with a focus on mobile ● One-time data entry with résumé and education/job information integration o One time form entry o 3rd party integration through web extensions ● Career Fair mode o Students/graduates flag themselves as “searching” and companies can reach out to individuals and encourage them to apply
  • 6. The Product: Employers ● Publish jobs to careers page, other sites, and GradLaddr ● Progress-tracking and automatic applicant notification, including: o Current application status  Résumé & application received, read, processed, etc.  Scheduling phone screens, in-person interviews, etc. o Current job opening status o Number of other applicants ● Replicate workflows, job listings, etc. ● Career Fair mode: o Ability to search for students/graduates that have flagged themselves “searching”
  • 7. The Competition ● Indeed ● LinkedIn ● Monster ● Craigslist ● CareerBuilder ● University Job Boards What makes our search different? → The Magic Box
  • 8. The Magic Box ● Labor genome project o Jobs and job skills are assigned characteristics or “genes” o An n-dimensional database of genes corresponds to these characteristics o Similar job listings are generated using a modified “least squares” ● Through this process: o We match students directly to job listings o We provide employers with access to qualified and specialized students
  • 9. Our Niche ● Not a passive connection network o LinkedIn creates a placebo effect ● Not simply a job listing network o Monster demands unnecessary and ineffectual efforts ● We focus on making more success for college students and graduates o Research, internships, and experience jobs ● We focus on bilateral interaction o Better and transparent dialogue
  • 10. Our Potential ● Location and proximity based employment ● GradLaddr scholarship fund ● Partnerships and recruitment with University Career Services ● Anonymous review process for professors, colleagues, or classmates ● Automatic data pulls from University resources
  • 11. Our Production Cycle ● Initial round of funding mid Q1 2015 ● Exploration of sales venues & prototyping throughout Q1 and Q2 2015 ● Possible pilot program Q3 2015 ● Product will reach deployment stage before culmination of winter 2015
  • 12. Next Steps ● Consider all monetization methods ● Consultation with businesses about HR practices ● Roll out of front end client (student interface) ● Design and implementation of back end server ● Pilot program