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Open Blend
Objective
• Highlight why understanding your workforce is more important than it’s ever been
• How insight into the key drivers of an individual can help engage a workforce
• Show you how Open Blend is responding to client demand for insight
Open Blend
We are an online tool that enables businesses and leaders toenhance the performance of their talent.
We facilitate coaching led one to ones focused onan individual’s key drivers and performance.
Open Blend
The problem we solve
Lack naturalleadership
90%
80%View managers as key to engagement
Engagement & wellbeing is a $74 billion business problem interms of productivity deficit.
CATEGORY
Status quo is macro company-wide feel good solutions.The bean-bags-and- free-beer approach.
CURRENTLY
Real problem is micro & individualized. Lack of transparent &empowering dialogue between manager & direct reports.
PROBLEM
Intuitive technology that empowers manager/direct-reportdialogue, driving retention and workforce productivity.
SOLUTION
Uniquely combining the practicality of online and the powerof one to one to unlock the key drivers of the ‘whole person.’
HOW
64%Talent not reaching
their potential
Open Blend
How we collect the data
What is work/lifeblend?
Mypartner
My children
Effective team
Progressionat work
Exercise &health
FulfillmentAt work
Manageableworkload
Part 1 – Populating your blend
8 elements
Unique to each person
Progressive via current to target
SupportiveLeader
Open Blend
Mypartner
My children
Effective team
Progressionat work
Exercise &health
FulfillmentAt work
Manageableworkload
SupportiveLeader
What is currentwork/life blend?
Part 2 -
Score current level offulfillment in each element from 1-10
This gives their
currentwork/life blend
4
87
9
5
5
6
63%
7
Open Blend
Mypartner
My children
Effective team
Progressionat work
Exercise &health
FulfillmentAt work
Manageableworkload
SupportiveLeader
What is targetwork/life blend?
Part 3 –
Target score to reach their potential.
Each element is scored from 1-10.
This gives their
targetwork/life blend
82%
4
87
9
5
5
6
7
9
8
98
7
8
Open Blend
Key drivers of our users
5355
53
6064 65
5956
5957
60
65
71
80
70
76 75
80
7571
40
50
60
70
80
90
Health and exercise
Money Progression at work
Time with family and
friends
Fun My partner Fulfillment at work
Making a difference at
work
Effective team
Mindset wellbeing
Before Current
Open Blend
Key drivers by age
1st 2nd 3rd 4th 5th
18-24Gen Z
25-34Millennials
35-44Gen Y/X
45-55
55+
Mostcommittedto progress
Leastfulfilled
Higheststress
Loweststress
Happiest
Health andexercise
Health andexercise
My partner
Effectiveteam
My partner
Time withfriends & family
Progressionat work
Flexibleworking
Supportiveleader
Effectiveteam
fun
fun
Money
Flexibleworking
Supportiveleader
Progressionat work
Time withfriends & family
Fulfillment atwork
Health andexercise
My time
Money
Health andexercise
Money
fun
Making a differenceat work
Money
Money
10th
12th
Money
Money
Money
Open Blend
Deeper into ‘money’
0
10
20
30
40
50
60
70
80
18-24 25-34 35-44 44-50
Before
Current
52 54 58 59
73
60
50
70
Fu
lfill
me
nt
in m
on
ey
1st 5th1st 10th
Inexperienced/ junior
Careeracceleration
Mid life QCareer
accelerationFirst thought
Open Blend
Deeper again into ‘money’
46
48
50
52
54
56
58
60
35-44
Before
Current
Fu
lfill
me
nt
in m
on
ey 5th
50
58
Women
17% paid £91 - £120kMen
4% paid £91- £120k
No difference in fulfilment levels between men & women
Open Blend
Gender Comparison in Flexible working
59 58
62
67
74 73 74
87
6971
78 78
8280
87 87
40
50
60
70
80
90
0 1 2 3 4 5 6 7
Male Female
Strategicdecision
made
No. of sessions
Fu
lfill
me
nt
in f
lexi
ble
wo
rkin
g
Open Blend
Our response to our clients need for insight
Usersengagement
with theproduct
Dashboardsfor CEO, HRD,
leaders & talent
Accountmanagement
& reviews
Predictivemodelling
Unique
Open Blend
In summary
• We have to understand our people before we consider making strategic decision – especially with a diverse workforce
• We must use tech to enable live micro data to inform macro
• What are you keen to know about your workforce after this morning ?
Without big data analytics, companies are blind and deafGeoffrey Moore – Mind the Chasm