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A Smarter Approach to
Assessment in the Digital Age
Vesselin Popov
Dubai 2014
@VessPopov
Hacking HR
vp288@cam.ac.uk
?
Conservative &
traditional
Spontaneous &
impulsive
Shy & reserved
Competitive &
working alone
Emotional &
Easily Stressed
Liberal &
artistic
Extraverted &
Outgoing
Laid back
& relaxed
Well organized
& hard working
Team working
& trusting
BIG5 PERSONALITY Excessive Drinking
Cross-country Skiing
..…………………………….
…………………………………
Behaviour
vp288@cam.ac.uk
§  Psychological inference can make your data human
§  Digital footprints of behaviour can reveal the
psychological make-up of your organisation
§  Doing this in partnership with your employees can
bring engagement into the information age
✓
vp288@cam.ac.uk
Engagement in the information age requires
Reciprocity
Trust
Personalisation
vp288@cam.ac.uk
Engagement in the information age requires
Reciprocity = 2-way assessment
Trust = tackling job market barriers
Personalisation = target & tailor
vp288@cam.ac.uk
@VessPopov
Reciprocity
vp288@cam.ac.uk
Challenge:
How do you measure psychological traits to encourage
engagement in practice?
vp288@cam.ac.uk
Traditional methods (need hacking)
§  Expensive
§  Slow
§  Small and biased samples
§  Invalid methodology
§  Frustrating for participant
vp288@cam.ac.uk
Big Data
Psychology
vp288@cam.ac.uk
Our Engagement Challenge:
How to motivate research participants to answer honestly?
vp288@cam.ac.uk
www.myPersonality.org
Facebook app launched in 2007
Users could take valid psychometric assessments
and get feedback for free (= reciprocity)
We asked people to opt in to share data
High quality information:
-  Records of actual behaviour
-  Honest, open, motivated respondents
-  Quality better than in the lab
vp288@cam.ac.uk
www.myPersonality.org
Facebook app launched in 2007
Users could take valid psychometric assessments
and get feedback for free (= reciprocity)
We asked people to opt in to share data
High quality information:
-  Records of actual behaviour
-  Honest, open, motivated respondents
-  Quality better than in the lab
100 question IPIP version of
NEO-PI-R Traits
Delay Discounting
336 question IPIP version of
NEO-PI-R Facets
Body Consciousness
Satisfaction with life scale Moral Foundations
Rust’s vocational personality MUSIC Personality
Sensational interests
questionnaire
Empathy Quotient Scale
Self-Monitoring Barratt Impulsivity Scale
Pennebaker Inventory of
Limbic Languidness (PILL)
Relationship Scales
Questionnaire
Job Self-Efficacy Scale My memories of upbringing
(EMBU)
Forms of self-criticizing/
attacking and self-reassurance
scale (FSCS)
Centre for Epidemiological
Study Depression Scale (CES-
D)
Schwartz's Values Survey Passion Towards Work Scale
Pregnancy Explorer Thing-Person Orientation
Volunteer Personality Scale IQ test on myIQ
vp288@cam.ac.uk
www.myPersonality.org
Facebook app launched in 2007
Users could take valid psychometric assessments
and get feedback for free (= reciprocity)
We asked people to opt in to share data
High quality information:
-  Records of actual behaviour
-  Honest, open, motivated respondents
-  Quality better than in the lab
Gender Education (school/degree)
Date of Birth Relationship status
Religion Likes
Ø Books
Ø Movies
Ø TV Shows
Ø Music and Last.fm Data
Ø Activities
Political views Sexuality
Geographical location
Ø Country
Ø State
Ø City
Family
Work (company/position) Photo tags
Wall posts Status updates
vp288@cam.ac.uk
39 peer-reviewed
publications
Over 6 million unique
participants
Open-sourced to 150
academic collaborators
The largest and most rich social science database in history
Secure, privacy-
preserving format
Accurate prediction
published in PNAS
Responses to 25-30
validated assessments
vp288@cam.ac.uk
“digital records of behavior can be used to
automatically and accurately predict a range of
highly sensitive personal attributes”
March 2013
vp288@cam.ac.uk
We can predict these traits from digital footprints
Political Views Religious Views Use of Language
Intelligence Life SatisfactionBIG5 Personality
Age
Gender
Ethnic Origin
Sexual orientation
Relationship status
Concentration/Major
Friendship network density
Parents’ relationship status
Use of addictive substances
vp288@cam.ac.uk
One-click personality prediction
Uses only Facebook Likes
Predicts your friends’ personalities
www.YouAreWhatYouLike.com
vp288@cam.ac.uk
@ApplyMagicSauce
Challenge:
How do you measure psychological traits to encourage
engagement in practice?
Hack:
Think outside the box and design for reciprocity
vp288@cam.ac.uk
@VessPopov
Trust
vp288@cam.ac.uk
Challenge:
How do you create an environment in which employees self-
motivate to exceed expectations?
vp288@cam.ac.uk
vp288@cam.ac.uk
Barriers to engagement
Building trust
Low mobility
Low performance
Discrimination
Salaries
Low person-job fit
vp288@cam.ac.uk
Assess ability
Match task
Build this feedback loop into HR strategy
Overcome the barriers to employee
engagement in a sustainable way
vp288@cam.ac.uk
Assess ability
Match task
Shorter engagements
Flexible, parallel working
Motivation to self-improve
In-built reputation system
Objective ability assessment
Crowd-sourced pay grades
Self-matching to jobs
vp288@cam.ac.uk
Challenge:
How do you create an environment in which employees self-
motivate to exceed expectations?
Hack:
Use agile feedback loops based on objective ability assessment
vp288@cam.ac.uk
@VessPopov
Personalisation
vp288@cam.ac.uk
Challenge:
How do you achieve both engagement on the individual level
and a supportive culture on the company level?
vp288@cam.ac.uk
Reach the right candidates in the first place
traditional
organised
competitive
high IQ
Why not target a job advert so that only candidates with the
optimum psychological profile see it in the first place?
vp288@cam.ac.uk
We can predict these traits from digital footprints
Political Views Religious Views Use of Language
Intelligence Life SatisfactionBIG5 Personality
Age
Gender
Ethnic Origin
Sexual orientation
Relationship status
Concentration/Major
Friendship network density
Parents’ relationship status
Use of addictive substances
vp288@cam.ac.uk
Language	
  	
  
Speak
the Language of
Engagement
vp288@cam.ac.uk
Connecting Psychology & Language
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach by Schwartz, H. A., Eichstaedt, J.C., Kern, M.L.,
Dziurzynski, L., Ramones, S.M., Agrawal, M. Shah, A., Kosinski, M., Stillwell, D.S., Seligman, M.E.P, Ungar, L.H. PLoS ONE, 2013.
vp288@cam.ac.uk
Challenge:
How do you achieve both a supportive culture on the
company level and engagement on the individual level?
Hack:
Target external communications and tailor internal language
to the psychological profile of your audience
vp288@cam.ac.uk
HR Hacks: What Engagement Should Look Like
Reciprocity
Think outside the box and design for 2-way detective work
Trust
Use agile feedback loops based on objective ability assessment
Personalisation
Target content and tailor language by psychological profile
vp288@cam.ac.uk
Vesselin Popov
vp288@cam.ac.uk
@VessPopov
www.applymagicsauce.com
www.youarewhatyoulike.com
www.tests.e-psychometrics.com
Thank you

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Hacking HR: A Smarter Approach to Assessment in the Digital Age

  • 1. A Smarter Approach to Assessment in the Digital Age Vesselin Popov Dubai 2014 @VessPopov Hacking HR
  • 3. ? Conservative & traditional Spontaneous & impulsive Shy & reserved Competitive & working alone Emotional & Easily Stressed Liberal & artistic Extraverted & Outgoing Laid back & relaxed Well organized & hard working Team working & trusting BIG5 PERSONALITY Excessive Drinking Cross-country Skiing ..……………………………. ………………………………… Behaviour vp288@cam.ac.uk
  • 4. §  Psychological inference can make your data human §  Digital footprints of behaviour can reveal the psychological make-up of your organisation §  Doing this in partnership with your employees can bring engagement into the information age ✓ vp288@cam.ac.uk
  • 5. Engagement in the information age requires Reciprocity Trust Personalisation vp288@cam.ac.uk
  • 6. Engagement in the information age requires Reciprocity = 2-way assessment Trust = tackling job market barriers Personalisation = target & tailor vp288@cam.ac.uk
  • 8. Challenge: How do you measure psychological traits to encourage engagement in practice? vp288@cam.ac.uk
  • 9. Traditional methods (need hacking) §  Expensive §  Slow §  Small and biased samples §  Invalid methodology §  Frustrating for participant vp288@cam.ac.uk
  • 11. Our Engagement Challenge: How to motivate research participants to answer honestly? vp288@cam.ac.uk
  • 12. www.myPersonality.org Facebook app launched in 2007 Users could take valid psychometric assessments and get feedback for free (= reciprocity) We asked people to opt in to share data High quality information: -  Records of actual behaviour -  Honest, open, motivated respondents -  Quality better than in the lab vp288@cam.ac.uk
  • 13. www.myPersonality.org Facebook app launched in 2007 Users could take valid psychometric assessments and get feedback for free (= reciprocity) We asked people to opt in to share data High quality information: -  Records of actual behaviour -  Honest, open, motivated respondents -  Quality better than in the lab 100 question IPIP version of NEO-PI-R Traits Delay Discounting 336 question IPIP version of NEO-PI-R Facets Body Consciousness Satisfaction with life scale Moral Foundations Rust’s vocational personality MUSIC Personality Sensational interests questionnaire Empathy Quotient Scale Self-Monitoring Barratt Impulsivity Scale Pennebaker Inventory of Limbic Languidness (PILL) Relationship Scales Questionnaire Job Self-Efficacy Scale My memories of upbringing (EMBU) Forms of self-criticizing/ attacking and self-reassurance scale (FSCS) Centre for Epidemiological Study Depression Scale (CES- D) Schwartz's Values Survey Passion Towards Work Scale Pregnancy Explorer Thing-Person Orientation Volunteer Personality Scale IQ test on myIQ vp288@cam.ac.uk
  • 14. www.myPersonality.org Facebook app launched in 2007 Users could take valid psychometric assessments and get feedback for free (= reciprocity) We asked people to opt in to share data High quality information: -  Records of actual behaviour -  Honest, open, motivated respondents -  Quality better than in the lab Gender Education (school/degree) Date of Birth Relationship status Religion Likes Ø Books Ø Movies Ø TV Shows Ø Music and Last.fm Data Ø Activities Political views Sexuality Geographical location Ø Country Ø State Ø City Family Work (company/position) Photo tags Wall posts Status updates vp288@cam.ac.uk
  • 15. 39 peer-reviewed publications Over 6 million unique participants Open-sourced to 150 academic collaborators The largest and most rich social science database in history Secure, privacy- preserving format Accurate prediction published in PNAS Responses to 25-30 validated assessments vp288@cam.ac.uk
  • 16. “digital records of behavior can be used to automatically and accurately predict a range of highly sensitive personal attributes” March 2013 vp288@cam.ac.uk
  • 17. We can predict these traits from digital footprints Political Views Religious Views Use of Language Intelligence Life SatisfactionBIG5 Personality Age Gender Ethnic Origin Sexual orientation Relationship status Concentration/Major Friendship network density Parents’ relationship status Use of addictive substances vp288@cam.ac.uk
  • 18. One-click personality prediction Uses only Facebook Likes Predicts your friends’ personalities www.YouAreWhatYouLike.com vp288@cam.ac.uk
  • 20. Challenge: How do you measure psychological traits to encourage engagement in practice? Hack: Think outside the box and design for reciprocity vp288@cam.ac.uk
  • 22. Challenge: How do you create an environment in which employees self- motivate to exceed expectations? vp288@cam.ac.uk
  • 24. Barriers to engagement Building trust Low mobility Low performance Discrimination Salaries Low person-job fit vp288@cam.ac.uk
  • 25. Assess ability Match task Build this feedback loop into HR strategy Overcome the barriers to employee engagement in a sustainable way vp288@cam.ac.uk
  • 26. Assess ability Match task Shorter engagements Flexible, parallel working Motivation to self-improve In-built reputation system Objective ability assessment Crowd-sourced pay grades Self-matching to jobs vp288@cam.ac.uk
  • 27. Challenge: How do you create an environment in which employees self- motivate to exceed expectations? Hack: Use agile feedback loops based on objective ability assessment vp288@cam.ac.uk
  • 29. Challenge: How do you achieve both engagement on the individual level and a supportive culture on the company level? vp288@cam.ac.uk
  • 30. Reach the right candidates in the first place traditional organised competitive high IQ Why not target a job advert so that only candidates with the optimum psychological profile see it in the first place? vp288@cam.ac.uk
  • 31. We can predict these traits from digital footprints Political Views Religious Views Use of Language Intelligence Life SatisfactionBIG5 Personality Age Gender Ethnic Origin Sexual orientation Relationship status Concentration/Major Friendship network density Parents’ relationship status Use of addictive substances vp288@cam.ac.uk
  • 32. Language     Speak the Language of Engagement vp288@cam.ac.uk
  • 33. Connecting Psychology & Language Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach by Schwartz, H. A., Eichstaedt, J.C., Kern, M.L., Dziurzynski, L., Ramones, S.M., Agrawal, M. Shah, A., Kosinski, M., Stillwell, D.S., Seligman, M.E.P, Ungar, L.H. PLoS ONE, 2013. vp288@cam.ac.uk
  • 34. Challenge: How do you achieve both a supportive culture on the company level and engagement on the individual level? Hack: Target external communications and tailor internal language to the psychological profile of your audience vp288@cam.ac.uk
  • 35. HR Hacks: What Engagement Should Look Like Reciprocity Think outside the box and design for 2-way detective work Trust Use agile feedback loops based on objective ability assessment Personalisation Target content and tailor language by psychological profile vp288@cam.ac.uk