pymetrics: using science + technology to improve recruiting for all

use science to match candidates + companies

information overload 250 resumes : 1 job time spent per resume: 6 s

poor information “all resumes look the same” “do GPA/test scores matter? ”

>60% applicants cut at resume stage

high cost of turnover <200% of employee’s annual salary lost

high turnover rate 30-50% of candidates fail within 1st year

current recruiting process

perils of the job search

“Does anyone even look at my resume?”

“How do I know which job is right for me?”

“I think my resume just goes into a black hole.”

the pain is felt by companies too “all resumes look the same!”

“are we missing top candidates?”

“will this person be a cultural fit?”

“we want more diverse candidates!”

“do test scores and GPAs really predict job performance?”

everything in our lives is now personalized

personalizes your movie choices

personalizes your date selection

personalizes your shopping

but not the job search

experience

Careers Dating

Listings

Search

Matching

web 3.0: LinkedIn + OkCupid

8

fun

pymetrics makes recruiting

simple

personalized

efficient

assessment through

neuroscience

by improving it with

matching through data science

+

neuroscience games to assess candidates

data science algorithms to predict company + career fit

the science behind platform

candidates assessed using games that cannot be faked

no self-report questionnaires!

cognitive emotional

processing speed pattern recognition risk profile trust

continuous attention

ability to avoid distraction reward sensitivity altruism

impulsivity cognitive control perseverance tolerance for ambiguity

working memory planning emotional sensitivity

ability to delay gratification

memory span sequencing emotional identification

learning from feedback

cognitive flexibility learning creativity learning from

mistakes

assessment factors

50 key cognitive + emotional traits

we build

data-driven profiles from successful employees to recommend similar candidates

company candidates

neuroscience games for assessment

employees take tests

candidates take tests

data science for profiling

job /company profiles built

candidate profile

generated

marketplace for matching match made

1

2

3

profiles built + matches made

supercharge your resume screenings

using pymetrics instead of resume review found students who were

to end up getting an offer than the average student

3x more likely

cost savings:

~$50K

adding pymetrics to resume review increased the yield of interview

to offer by 2x

select better candidates to interview

cost savings:

~$440K

don’t miss top talent

35% of candidates rejected at screening went to work for competitors

pymetrics cut the rate

to 10%

0%

20%

40%

60%

80%

100%

firm's actual rate using pymetrics consulting profile

~$1.6M in savings for intern program costs and

recruitment of replacements

find interns more likely to convert

% conversion of summer associates to full-time hires

firm’s actual rate

pymetrics top fit rate

measure cultural fit

0%

20%

40%

60%

80%

100%

pymetrics identifies which candidates will be a better cultural fit

rd 1 rejects hired by competitors

offers declined

offers accepted

increase diversity

•  students at schools you don’t currently recruit

•  students who may not apply through standard channels

•  students whose resumes

are non-traditional

•  organizations fostering diversity in the workplace

we test our models

to ensure no gender

or ethnic biases

a personalized marketplace where

students discover new companies +

careers companies source new candidates

22

students come for career assessment

companies discover students companies source fit students who might not otherwise apply

who are at schools a company might not normally access

students discover careers

companies source top-fit candidates

pymetrics marketplace

we market to students

who get

general career suggestions

who are

matched with companies that have pymetrics

profiles

who we are

Julie Yoo, PhD Co-Founder, CSO

Frida Polli, PhD, MBA Co-Founder, CEO

team

Matthew Malter Cohen, PhD Head of Data Product

Jessica Barrett, MBA Head of BD/Marketing

John Salvatore, Lead Developer Fedor Garin Lead Developer

investors

Bob Pittman

clients + partners

press

Naveed Jooma Lead Developer

25

25k

25

15

schools

users

industry profiles

company profiles

Northwestern U of Chicago UMich @ Ann Arbor

Brandeis Brown Dartmouth Harvard MIT

UVA Duke Emory

University of Texas @ Austin

Stanford UC Berkeley UCLA

Columbia Cornell NYU, UPenn Princeton Yale

Carnegie Mellon Indiana U @ Bloomington

roll out to 20 additional schools in fall 2014

progress to date