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Perfect Match
1
Meetup
25 July 2018
London
perfectmatch.io
Meetup. 2 hours once a month
Pacy. Focused. Friendly.
2
6.30pm
Arrive and Welcome
3
6.45pm
Deep Dive of the Month
Assessment
4
7.10pm
Deep Dive: Hands on
5
Assessment:
7.15pm
Deep Dive: Group Workout
Assessment: 2 questions
6
7.30pm
Break
Pizza
7
7.50pm
Top 10 HR Tech Investments
Source: Larocque
Top 10 in last month 8
Quarterly Total HR Tech investment (2017-18)
8pm
Big Funded Company of the Month
$40m
9
8.05pm
Perfect Match of the Month
Got a job via a ‘new’
HR Tech solution
10
8.10pm
About Perfect Match
11
Perfect Match
8.25pm
Coming Up
Meetups
Emails
Projects
12
8.30pm
Finish
13
Who is here
HRHR TechRecruiters
Consultants Managers Psychologists
AI Randoms …
14
Deep Dive of the Month
15
Assessment
Assessment:
Think of some recruitment use cases
Graduate
Hiring
High Volume
Hiring
Developer
16
Call Centres
Retail Staff
Cabin Crew
Marketing
Sales
Finance
Executive
Manager
Assessment:
Think of some other use cases
Wellness
Team
Development
Performance
Management
17
Promotion
Transfer
Move function
Internal move
Coaching
Diagnostic
Trends driving new assessment
approaches
18
Changes in
global talent
market
Innovation in
Assessment
Metric-
driven HR
• New talent pools
• Diversity needs
• Speed
• People Analytics
• ROI
• Productivity
• VC money
• AI
• Phones, Video
Source: Ian Newcombe (abridged)
Assessment:
Money pouring into HRTech including
assessment is really fueling pace of change.
$1.3bn YTD .
Source: Larocque 19
Quarterly Total HR Tech investment (2017-18)
Assessment:
The right assessment depends on
objective
Positive candidate
experience
Minimise
candidate effort
Promote diversity
Drive process
efficiency
Reduce recruiter
headcount
Hire high
performers
Reduce employee
attrition
Optimise
reporting
analytics
.. and more
Experience Type Efficiency
Source: Ian Newcombe
Outcome
Higher sales
Objectives for Assessment
20
Let’s look at some Assessment solutions
This is not a comprehensive list at all
Chosen to illustrate what is out there
21
Assessment:
Different types that include…
Structured
Interviewing
Cognitive &
Psychometric
Team FitSkills
22
Assessment:
Structured Interviews
23
Structured
Interviewing
Cognitive &
Psychometric
Team FitSkills
Assessment:
Structured Interviews
Established New
Face to face
24Examples of providers in the category
Assessment - Structured Interviews:
HireVue: Apply and be video interviewed
25
Assessment - Structured Interviews:
HireVue: Reading your face
26
Assessment - Structured Interviews:
HireVue: Shortlisting candidates
27
Assessment - Structured Interviews:
Glider
28
Assessment - Structured Interviews:
Glider: pre-build interviews
29
Assessment - Structured Interviews:
Glider: create work sample environments
30
Assessment - Structured Interviews:
Glider: review and compute scored
31
Structured
Interviewing
Cognitive &
Psychometric
Team FitSkills
Assessment:
Cognitive & Psychometric
32
Assessment:
Cognitive & Psychometric (Cog/Psyc)
Established New
33Examples of providers in the category
Assessment – Cog/Psyc:
Arctic Shores: Play some games
34
Assessment – Cog/Psyc:
Arctic Shores: The games shortlist you
35
Assessment - Cog/Psyc:
Arctic Shores: It’s popular
36
Assessment - Cog/Psyc:
Pymetrics: Games
37
Assessment - Cog/Psyc:
Pymetrics: Jobs matched to you
38
Assessment - Cog/Psyc:
Pymetrics: Careers ‘matched’ to you
39
Assessment – Cog/Psyc:
Pymetrics: Job fit suggestions
40
Assessment - Cog/Psyc:
Pymetrics: It’s popular
41
Assessment – Psychoanalytic
Cambridge Code: inside the
subconscious
42
Assessment:
Skills
43
Structured
Interviewing
Cognitive &
Psychometric
Team FitSkills
Assessment:
Skills
Established New
44Examples of providers in the category
Assessment – Skills:
HackerRank: coding competitions
45
Assessment:
Team Fit
46
Structured
Interviewing
Cognitive &
Psychometric
Team FitSkills
Assessment:
Team Fit
Established New
47Examples of providers in the category
Assessment - Team Fit:
ThriveMap
48
Assessment:
Deep Dive observations
49
1. Objectives
2. Innovation
3. Jobs Platforms
4. Learning
5. Performance data
Assessment: Deep dive observation
1. The right assessment depends on
objective
Positive candidate
experience
Minimise
candidate effort
Promote diversity
Drive process
efficiency
Reduce recruiter
headcount
Hire high
performers
Reduce employee
attrition
Optimise
reporting
analytics
.. and more
Experience Type Efficiency
Source: Ian Newcombe
Outcome
Higher sales
Objectives for Assessment
50
Assessment: Deep dive observation
2. Huge amounts of innovation happening…
which has to be a good thing
New
Data
Innovations in …
User
experience
Process
• On your mobile
• Great UX
• Games
• Response times
• Voice
• AI
• Rapid turnaround
• Integrate via APIs
Assessment: Deep Dive observations …
3. Assessment is integrating into jobs
platforms
52
Debut Indeed
Assessment: Deep Dive observations …
4. Assessment is emerging in learning
platforms
53
Hacker Rank Piazza
Assessment: Deep dive observations …
5. Performance data is the ingredient we need
more of
When and where does Assessment work?
Employees Employers
Good match to skills?
Good match to manager?
Good match to culture?
Productive?
Happy?
Better Performance?
More productive?
Lower attrition?
More efficient?
People Analytics
Challenges:
Data collection
Over time
Subjective measures
7.10pm
Assessment Deep Dive : Hands on
55
ThriveMap
56
“ThriveMap helps us to hire for cultural fit based on
real insight rather than a gut feeling. It makes
culture a tangible rather than nebulous concept”
Jo Steel, HR & People Director
Belron International
Web: www.thrivemap.io
Email: nathan@thrivemap.io
Telephone: +44(0)207 193
8668
Our clients include
7.15pm
Assessment Deep Dive: Group Workout
58
1 of 2 questions
Assessment: Group Workout
Choose a Question
Where is assessment underused today?
What will assessment disrupt and when?
Question 2
Question 1
7.30pm
Break
Pizza
60
7.50pm
Top 10 HR Tech Investments
Source: Larocque
Top 10 in last month 61
Quarterly Total HR Tech investment (2017-18)
This month’s Top 10 HR Tech investments
Company Category Amount ($M)
1 Greenhouse Recruitment 50
2 CultureAmp Employee
Engagement
40
3 Goodwall Recruitment 10.8
4 Pared Recruitment 10
5 Spring Employee
Engagement
6
6 Crème de la
Crème
Recruitment 3
7 Zinc Recruitment 2.2
8 Landbot Other 2.2 62
Source: Larocque
Context: Q2 VC HR Tech Investment By
Category
Talent Acquisition gets the biggest chunk
63
Source: Larocque
Q2 Investment by Category
Context: Q2 VC HR Tech Investment by
Round
Series B and Series C significant. Real
products.
64
Q2 VC HR Tech Investment by Round
Source: Larocque
Top 10 HR Tech investments this month
1. Greenhouse
This Round: $50M Total Funding: $110.1M Location:
65
Category: Recruitment: ATS
Top 10 HR Tech investments this month
2. Culture Amp
This Round: $40M Total Funding: $73.6M Location: 66
Category: Employee Engagement
Top 10 HR Tech investments this month
3. Goodwall
67This Round: $10.8M Total Funding: $14.8M Location: Geneva
Category: Recruitment
68This Round: $10.8M Total Funding: $14.8M Location: Geneva
Category: Recruitment
Top 10 HR Tech investments this month
3. Goodwall – The Process
69This Round: $10.8M Total Funding: $14.8M Location: Geneva
Category: Recruitment
Top 10 HR Tech investments this month
3. Goodwall – The Process
70This Round: $10M Total Funding: $13M. Location: San Fransisco
Category: Recruitment
Top 10 HR Tech investments this month
4. Pared
71This Round: $6M Total Funding: $8M Location: New Yo
Category: Employee Engagement
Top 10 HR Tech investments this month
5. Spring Health
72This Round: $6M Total Funding: $8M Location: New Yo
Category: Employee Engagement
Top 10 HR Tech investments this month
5. Spring Health
73This Round: $3M Total Funding: $3.8M Location: Paris
Category: Recruitment
Top 10 HR Tech investments this month
6. Crème de la Crème
74This Round: $2.2M Total Funding: $2.2M Location: London
Category: Recruitment
Top 10 HR Tech investments this month
7. Zinc
75This Round: $2.2M Total Funding: $2.2M Location: London
Category: Recruitment
Top 10 HR Tech investments this month
7. Zinc
76This Round: $2.2M Total Funding: $2.2M Location: Valencia
Category: Other
Top 10 HR Tech investments this month
8. Landbot
77This Round: $2.2M Total Funding: $2.2M Location: Valencia
Category: Other
Top 10 HR Tech investments this month
8. Landbot
78This Round: $1.1M Total Funding: $1.1M Location: New York
Category: Recruitment
Top 10 HR Tech investments this month
9. MeetFrank
79This Round: $1.1M Total Funding: $1.1M Location: New York
Category: Recruitment
Top 10 HR Tech investments this month
9. MeetFrank
80This Round: $0.25M Total Funding: $0.25M Location: Vienna
Category: Recruitment
Top 10 HR Tech investments this month
10. WisR
Other big HR Tech news this month
81
Microsoft – LinkedIn revenues jump
Revenue: 37%
82
Microsoft Workplace Analytics
83
Google Jobs- live in UK
84
8pm
Big Funded Company of the Month
$40m
85
Its popular
Delivered into slack – super easy for
everyone
Break engagement down and focus on
biggest wins
88
Create a culture of praise and learning
89
8.05pm
Perfect Match of the Month
A success story:
Someone who got a
job via a ‘new’ HR
Tech solution
90
8.10pm
About Perfect Match
91
Perfect Match
What is Perfect Match?
Why Perfect Match?
Who is Perfect Match?
92
Perfect Match
It’s exciting what we’ve heard this
evening
93
The two worlds of ’People at work’ and
’Technology’ … moving well beyond LinkedIn
and email
People Tech
94
People at work Technology
Incredible levels of funding
fueling innovation
95
There is huge curiosity about where this
is all heading
“Help me make sense of this”
96
“It all sounds a bit Big Brother”
“Is my job safe?”
“Really transforming things
97
Employee Employer
We have a thesis…
We’re heading to a world of the Perfect Job
Match
The Perfect Job Match
A big improvement from employee point of
view...
Interests Boss CultureTeam Money
Skills Quick Efficient Learning Progression
98
Employee : Perfect from their point of view …
A fit with what they like for …
The Perfect Job Match
A big improvement from employer point of
view
High
performing
Cheaper Faster
99
Employer: More than 10x better than today …
A fit with what they like for …
A Perfect Match requires a lot of things to
be understood about employee and
employer
Interests
Boss CompanyTeam
Money
SkillsPersonality
Candidate
Commute
Intelligence
Preferences:
Performance
About the people and company:
Role
A lot of data.Culture
Environmen
t
The company:
It will be amazing when it exists
101
Graduates better matched
102
People in the right jobs
103
Talent has easier access to roles
104
Companies more productive and happier
105
Data
Challenges in at least four foundational
areas to deliver a world of Perfect
Matching
106
AI
Psych-
ology
Privacy
• Over time
• Voice
• Job performance
• Deep learning
• Models
• Match to
performance
• Massive issues
• Recording
conversations
OK?
Is Perfect Job Matching achievable?
107
Incredible what is possible over 10 years
2004
108
2005 20072006
Date of founding
2004 20051996
Time for a big new wave in HR?
2001 2002
2012
Everything is global..
… but hubs still matter. London has great
assets
AI hub
109
HR Tech leadership
Psychology hub
Recruitment hub HR Tech & Tech hub
The world is working away already to
move us to the Perfect Match …
110
… but it’s going to take 20+ years rather
than 10 because of the ‘hard to solve’
problems
Enter …
111
Perfect Match
To help get us quicker to the benefits of the world
of perfect job matching
by identifying the things that are difficult in perfect
job matching and
accelerate when they get solved by enabling a
community to solve them
Perfect Match:
Build a community
112
Gather people
Clarify the big problems
Meetups
News
See where it goes…
Perfect Match:
Gather people: Meetups
113
Analysis: HR Tech News &
Perfect Match progress
Energy
Regular
Meet people
Learn things
Meetups that include: July Assessment
August Jobs Marketplaces
September ATS & CRM
October Blockchain
November Gaps
Perfect Match:
Website: perfectmatch.io
114
Perfect Match:
Thoughts
115
Subscribe. Tell your friends.
Perfect Match:
Projects
116
Data
AI
Psychology
Privacy
Start with..
What are the
really hard
problems to
solve?
Perfect Match:
Member Baseball cards [an idea]
• ENTJ
• Bad fit
• Extrovert
• Poor concentration
• Focused
• Gets things done
• 20 years experience
117
Perfect Matcher
A
Perfect Matcher
B
Perfect Match:
Podcast [an idea]
118
Who wants to try co-presenting with me?
Has to be female. Diversity!
Perfect Match:
Sponsor for next time
Central London venue
50 people.
Food.
Drink.
5 minute Q&A with me
119
8.30pm
Finish
120
Perfect Match
Contact: Simon Darling
@simondarling
contact@perfectmatch.io
121
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HR Tech Assessment Deep Dive, Top 10 HR Tech Investments, Perfect Match: Perfect Match Meetup