We often hear that people are a company's most important asset, but it's historically been very hard to quantify that, or understand the ROI of it. In this presentation, I walk through a framework for understanding the Employee Lifetime Value (ELTV) and show a case study that demonstrates the ROI of being great at People practices.
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How to understand the ROI of investing in People
1. How to understand the ROI
of investing in People
Using Employee Lifetime Value to
articulate ROI
Maia Josebachvili
VP of Strategy & People
@MaiaJo_
2. I’m currently the VP of Strategy & People at
Greenhouse. I don’t come from a traditional
HR background, though. My journey here
has been a bit unconventional.
PREVIOUS JOBS I’VE HAD:
- Engineer
- Derivatives trader on Wall Street
- CEO & Founder of Urban Escapes (sold to
LivingSocial)
- Sr. Director at LivingSocial
Hi, I’m Maia.
Before we dive in, I want to
share a few things about my
background that informed my
take on this topic.
3. In my previous roles as a CEO, a P&L owner, and a
derivatives trader, I always considered return on
investment (ROI) to help me determine where to best
allocate my time and resources.
So when I took the VP of People role at Greenhouse, the
first thing I wanted to understand was how to measure the
ROI of investing in People.
Why did I start
thinking about this?
4. It turns out that calculating the
ROI of derivatives is easy
compared to calculating the
ROI of investing in people
11. ELTV is best understood in the context
of the employee lifecycle.
In the next few slides, we’ll look at a
simplified version of the employee
journey to see how it maps to ELTV.
12. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
T H E E M P L O Y E E L I F E C Y C L E
Start
W hen an employee starts, their output is negative because a company has invested recruiting
and interviewing resources in bringing the person on.
13. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
T H E E M P L O Y E E L I F E C Y C L E
Start
Fully contributing
As the employee onboards, they bring more and more to the organization. Once they are ramped
up, they reach the point of being a fully contributing member of the team.
14. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
T H E E M P L O Y E E L I F E C Y C L E
Start
Fully contributing
Decision to leave
After a while, the employee plateaus in their growth and eventually makes the decision to leave
the company.
15. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
T H E E M P L O Y E E L I F E C Y C L E
Start
Fully contributing
Decision to leave
Last day
After some time, the employee reaches their last day, at which point their output goes to zero.
16. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
T H E E M P L O Y E E L I F E C Y C L E
Start
Fully contributing
Decision to leave
Last day
ELTV
The area under the curve is the combined output of the employee over time, otherwise known as
the Employee Lifetime Value.
17. Increasing ELTV is really just about
growing the area under the curve.
Let’s see what that looks like…
20. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
R A I S I N G T H E B A R
How high someone can go How much higher
they go over time
How quickly
they ramp
21. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
R A I S I N G T H E B A R
How high someone can go How much higher
they go over time
How long they stay
How quickly
they ramp
22. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
I N C R E A S I N G E L T V
How high someone can go How much higher
they go over time
How long they stay
How quickly
they ramp
The green shaded area represents the increase in ELTV.
23. TIME
-6
-4
-2
0
2
4
6
8OU TPUT
I N C R E A S I N G E L T V
How much higher
they go over time
Onboarding
Hiring Management &
Development
Management &
Culture
These inputs can be most impacted by a few People practices.
24. That’s the theory.
Let’s put some numbers behind it and
walk through a case study to see how big
the ROI actually is.
25. In this case study, we’ll look at two
hypothetical companies to see the
impact of slightly better People
practices.
• Company 1 is good at their
People practices
• Company 2 is a little bit better
In each case, we’ll look at the
performance of a salesperson.
ASSUMPTIONS:
Salary: $60k per year
Quota: $600k per year
C A S E S T U D Y
26. -10
0
10
20
30
40
50
60
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80
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
CASE 1
6 months to ramp and
consistently hit quota
A better onboarding
program can decrease
ramp time by 30%1
CASE 2
4 months to ramp and
consistently hit quota
1Organizations with a strong onboarding process
improve new hire retention by 82% and productivity by
over 70%. (Brandon Hall, The True Cost of a Bad Hire,
2015)
O N B O A R D I N G
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0
10
20
30
40
50
60
70
80
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
CASE 1
6 months to ramp and
consistently hit quota
CASE 2
4 months to ramp and
constituently hit quota
A better onboarding
program can decrease
ramp time by 30%1
O N B O A R D I N G
Case2: Fully ramped
in 4 months
Case1: Still ramping
4 months in
1Organizations with a strong onboarding process
improve new hire retention by 82% and productivity by
over 70%. (Brandon Hall, The True Cost of a Bad Hire,
2015)
28. -10
0
10
20
30
40
50
60
70
80
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
1A study from the Boston Consulting Group shows that
recruiting is the HR function with the highest impact on
revenue. Excellent recruiting practices contribute to
more than 3x revenue growth and 2x profit margins.
A better hire can
outperform a peer
by 20%1
CASE 2
Consistently surpasses
monthly sales quota by
bringing in $60k per month
Consistently hits $50k
per month sales quota
CASE 1
H I R I N G
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0
10
20
30
40
50
60
70
80
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
A better hire can
outperform a peer
by 20%1
CASE 2
Consistently surpasses
monthly sales quota by
bringing in $60k per month
Consistently hits $50k
per month sales quota
CASE 1
H I R I N G
Case 2: 20%
more sales
1A study from the Boston Consulting Group shows that
recruiting is the HR function with the highest impact on
revenue. Excellent recruiting practices contribute to
more than 3x revenue growth and 2x profit margins.
30. -10
0
10
20
30
40
50
60
70
80
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
1Companies that hire managers based on their
management skills saw a 48% increase in profitability.
(State of the American Manager, Gallup, April 2015)
Great management and
development can
improve an employee’s
performance by 20% in
a year1
CASE 2
Goes from $60k in monthly
sales to $72k in monthly
sales in year 2
Continues to hit $50k
per month sales quota
CASE 1
M A N A G E M E N T & D E V E L O P M E N T
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30
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2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
CASE 2
Goes from $60k in monthly
sales to $72k in monthly
sales in year 2
Continues to hit $50k
per month sales quota
CASE 1
M A N A G E M E N T & D E V E L O P M E N T
Case 2: 20%
increase in
sales in year 2
Great management and
development can
improve an employee’s
performance by 20% in
a year1
1Companies that hire managers based on their
management skills saw a 48% increase in profitability.
(State of the American Manager, Gallup, April 2015)
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MONTH
N ET
R EVENUE
(1,000s)
A S S U M P T I O N
A great culture,
coupled with good
management, can
increase employee
tenure by one year1
CASE 2
Continues to thrive for
another year
Starts to look for a new
job 20 months in; leaves
after 2 years
CASE 1
C U L T U R E & M A N A G E M E N T
136% of people switching jobs left because they were
“unsatisfied with the work environment / culture” of
their previous employer. (Why and How People
Change Jobs, LinkedIn, 2015)
33. -10
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2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 36
MONTH
A S S U M P T I O N
136% of people switching jobs left because they
were “unsatisfied with the work environment /
culture” of their previous employer. (Why and How
People Change Jobs, LinkedIn, 2015)
A great culture,
coupled with good
management, can
increase employee
tenure by one year1
CASE 2
Continues to thrive for
another year
Starts to look for a new
job 20 months in; leaves
after 2 years
CASE 1
C U L T U R E & M A N A G E M E N T
N ET
R EVENUE
(1,000s)
Case 2: Employee
stays on another
full year
34. P U T T I N G I T A L L T O G E T H E R : 3 - Y E A R O V E R V I E W
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N ET
R EVENUE
(1,000s)
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P U T T I N G I T A L L T O G E T H E R : 3 - Y E A R O V E R V I E W
Before you click on, guess what
the difference is in $$…
(I’m serious)
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(1,000s)
P U T T I N G I T A L L T O G E T H E R : 3 - Y E A R O V E R V I E W
$1,300,000
37. • Making a 20% better hire
• Onboarding her 2 months
faster
• Helping him improve 20%
year over year
• Increasing her tenure by 1
year
ROI of
$1,300,000
over three years for one
employee
P U T A N O T H E R W A Y …
38. And the numbers really start to add
up when you factor them across your
entire employee base and make even
bigger improvements than the
assumptions we used.
39. • If you want to read more, you can check
out the whole whitepaper here.
• Tweet at me with any questions,
comments, or feedback at @MaiaJo_ .
• Start using this concept—and help
make it better. Let’s push our industry
forward
—Maia
Thanks for
taking the time!
@MaiaJo_
Editor's Notes
I used to be a derivatives trader on the floor of the stock exchange..
Crazy. Never had a conversation. Just yelled.
Tremendous impact on how I think about my current role.
Investment is all about calculating risk and ROI (RETURN ON INVESTMENT)
Wouldn’t make a move without knowing potential upside/downside
Calculating ROI and understanding where to get the best return on my investment was KEY to that job
It’s so important, in fact, that a Nobel Prize was awarded for the Black-Scholes options pricing model, a mathematical equation that prices derivatives and helps traders calculate ROI
The reason it hasn’t happened yet is pretty straightforward.
It’s really hard to calculate this. For a few clear reasons.
First, it’s very difficult to assign a concrete value to a human being and their impact on your company
Example: What do you do for an engineer? Is it lines of code? Most CTOs would kill me if I said that. Features shipped?
Too many variables (choosing what to measure)
What about the other contributions? How someone improves the culture? What they do outside of their day job? If they help the rest of the team?
Too subjective (how to measure it)
Basically, any output that is qualitative. All companies have that - like for your legal team – the quality of their contracts?
So no one has really cracked the code yet; no one has really done this reliably and consistently before
In response to that fuzzy math, most companies do one of two things (or both things)
Anything (they copy what other companies do, essentially copy/pasting vision/strategy from other companies onto their own)
Without understanding what the ROI is for them there
Perks war – companies saw Google had a great culture, and great perks, and so they started investing in perks (everyone just started doing what everyone else was doing)
Nothing! (they under-invest in their people)
So lots of companies have understaff their People functions, wait a long time before building it out.
Because coming back to this concept of known cost, unknown return -> spending is expensive if you don’t know what you’re getting from it.
Neither solution results in a good ROI
How do other parts of the business do it?
They say – here’s that status quo. And here’s a new return I can produce.
And guess what happens? The executive team starts to salivate, and you bet they get the investment they’re asking for.
Let’s try another one
What if the CTO said…
You know that 1-year product roadmap we’ve all committed to? Guess what?
How do we do that? What’s our version?
It’s about getting past this fuzzy math – getting past the known cost, unknown return.
What we need to do is understand the ROI of our efforts.
How do we do that? What’s our version?
It’s about getting past this fuzzy math – getting past the known cost, unknown return.
What we need to do is understand the ROI of our efforts.
In response to that fuzzy math, most companies do one of two things (or both things)
Anything (they copy what other companies do, essentially copy/pasting vision/strategy from other companies onto their own)
Without understanding what the ROI is for them there
Perks war – companies saw Google had a great culture, and great perks, and so they started investing in perks (everyone just started doing what everyone else was doing)
Nothing! (they under-invest in their people)
So lots of companies have understaff their People functions, wait a long time before building it out.
Because coming back to this concept of known cost, unknown return -> spending is expensive if you don’t know what you’re getting from it.
Neither solution results in a good ROI
First let’s simplify the equation a little
We can break the employee lifecycle into four distinct gates (Less emphasis on the four gates, more on the variables)
Start date
Fully contributing member
Decision to leave
Last day
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
First let’s simplify the equation a little
We can break the employee lifecycle into four distinct gates (Less emphasis on the four gates, more on the variables)
Start date
Fully contributing member
Decision to leave
Last day
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
First let’s simplify the equation a little
We can break the employee lifecycle into four distinct gates (Less emphasis on the four gates, more on the variables)
Start date
Fully contributing member
Decision to leave
Last day
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
First let’s simplify the equation a little
We can break the employee lifecycle into four distinct gates (Less emphasis on the four gates, more on the variables)
Start date
Fully contributing member
Decision to leave
Last day
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
First let’s simplify the equation a little
We can break the employee lifecycle into four distinct gates (Less emphasis on the four gates, more on the variables)
Start date
Fully contributing member
Decision to leave
Last day
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
In response to that fuzzy math, most companies do one of two things (or both things)
Anything (they copy what other companies do, essentially copy/pasting vision/strategy from other companies onto their own)
Without understanding what the ROI is for them there
Perks war – companies saw Google had a great culture, and great perks, and so they started investing in perks (everyone just started doing what everyone else was doing)
Nothing! (they under-invest in their people)
So lots of companies have understaff their People functions, wait a long time before building it out.
Because coming back to this concept of known cost, unknown return -> spending is expensive if you don’t know what you’re getting from it.
Neither solution results in a good ROI
Any improvement we make to this curve, at any of these points, will change the ROI
Now, let’s understand the variables in this equation. [talk through this]
There are a few things:
How quickly they ramp to fully contributing member
How high someone can go naturally
How much higher they can go over time with the right inputs
How long they stay
If they ramp faster, there’s less time they’re ‘not productive’, and more overall output in a similar period of time
The whole area is your new ELTV
The green is your incremental. That’s the ROI that we’re trying to capture. That’s the return.
And you can loosely map these to distinct people practices.
In response to that fuzzy math, most companies do one of two things (or both things)
Anything (they copy what other companies do, essentially copy/pasting vision/strategy from other companies onto their own)
Without understanding what the ROI is for them there
Perks war – companies saw Google had a great culture, and great perks, and so they started investing in perks (everyone just started doing what everyone else was doing)
Nothing! (they under-invest in their people)
So lots of companies have understaff their People functions, wait a long time before building it out.
Because coming back to this concept of known cost, unknown return -> spending is expensive if you don’t know what you’re getting from it.
Neither solution results in a good ROI
Now for the math part.
Let’s put numbers to all of this.
Sales person: $60k/year salary -> $5k /mo
Quota: $600k yearly quota -> $50k /mo
Assumptions:
Case 2 vs Case 1
-30% faster ramp
-20% higher sales in year 1
-10% increase in output after year 1; 15% after year 2
-2x tenure
Using incredibly conservative estimates, we came to a $1million dollar difference over 3 years with JUST ONE HEADCOUNT
2.2x difference in our two scenarios
Let’s play out a few more…
Using incredibly conservative estimates, we came to a $1million dollar difference over 3 years with JUST ONE HEADCOUNT
2.2x difference in our two scenarios
Let’s play out a few more…
In response to that fuzzy math, most companies do one of two things (or both things)
Anything (they copy what other companies do, essentially copy/pasting vision/strategy from other companies onto their own)
Without understanding what the ROI is for them there
Perks war – companies saw Google had a great culture, and great perks, and so they started investing in perks (everyone just started doing what everyone else was doing)
Nothing! (they under-invest in their people)
So lots of companies have understaff their People functions, wait a long time before building it out.
Because coming back to this concept of known cost, unknown return -> spending is expensive if you don’t know what you’re getting from it.
Neither solution results in a good ROI