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Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach © Dr John Sullivan 45 These slides can be found at: www.drjohnsullivan.com The most dramatic shift in HR in decades is occurring right now… and it will soon make your current HR approach obsolete. You can welcome it or fear it, but this shift is inevitable

Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

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Page 1: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Don’t Be Left Behind… As HR

Shifts To A Data-Driven, High

Business Impact Approach

© Dr John Sullivan

45These slides can be found at: www.drjohnsullivan.com

• The most dramatic shift in HR in decades is occurring

right now… and it will soon make your current HR

approach obsolete.

• You can welcome it or fear it, but this shift is inevitable

Page 2: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

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I’m from the Silicon Valley…

They asked me to highlight the most advanced

data-driven talent practices

• Obviously you can’t adopt all of them

• So pick & choose and adapt whatever practices

that you find are best for your organization

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Let me be clear…

Its time to realize that its

all about the money!

HR is not exempt from the rules guiding

all other business functions…

the best / favored ones are more productive

& innovative, and as a result…

they show they create more revenue!

Page 4: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Does great Talent Management really have a bottom line impact?

IBM

HP

Amazon

Microsoft

Google

Facebook

Apple

Which of these firms have the best Talent Mgmt ?

Which firms are the most innovative & productive?4

Page 5: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Now let’s compare the difference in employee output value at… “Top” vs. “Very Good” firms in tech

Note: Productive firms have a higher Rev. per Employee #

Average rev per ee $208,000 USD

IBM $238,000 (14% above the average)

HP $363,000 (Nearly 1 ¾ times the average)

Amazon $577,000 (Nearly 2 ¾ times the average)

* Indicates it’s rank among the top most valuable firms in the world

Microsoft* #4 $729,000 (Nearly 3 ½ times the average)

Google* #3 $1,230,000 (Nearly 6 times the average)

Facebook* #11 $1,360,000 (Nearly 6 ½ times the average)

Apple* #1

Key learning – Apple could produce the same revenue as IBM with 9 times fewer workers(From 4/22/15 data from www.MarketWatch.com )

5

$2,150,000 (Nearly 10 ¼ times the average)

Your job…

is to figure out which

key HR actions cause

these huge employee

output differences

--

Any Questions?

Page 6: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

ID your HR functions with the highest business impact

6Source: BCG/WFPMA - From Capability to Profitability: Realizing the Value of People Management, 2012

Which HR function normally has the highest impact on profit?

So the 1st ddHR goal is to…

Page 7: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Mid and lower impact HR functions

7

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8

Conclusion

Provided that you manage the right way…

“Great Talent Management increases

workforce productivity and innovation to

the point where Talent Management has

the highest business impact on revenue of

any business function”

Any questions?

Its all about the money!

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9

A definition of

data-driven HR (ddHR)

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A definition of data-driven HR (ddHR)

A strategic forward looking approach to HR

It replaces the currently common… opinions,

beliefs, intuition, hunches, speculation, trial & error

learning & automatically continuing with past practices.

It instead relies on… data, facts, analysis, charts,

metrics, algorithms, science and predicted trends…

to improve the accuracy, speed and business

impacts of major people management decisions…

that are made by managers and HR professionals.

And finally, it reveals “why” programs work.

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Replace them with…

I know

The data proves that…

This chart / graph proves it

Our algorithm shows it works

A predictive trendline shows

An A/B test shows B is better

Its cutting revenue by $23mil

It’s a science (hard HR)

ddHR goal #2

Outdated phrases

I think/I believe/ I feel

My opinion is…

My gut tells me

We tried that once…

Historical metrics show

We always do it this way

Turnover is a problem

It’s an art (soft HR)

To learn to use the language of business ($ and #’s)

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2 quick examples of:

How data-driven HR can

improve… retention and

recruiting

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Traditional HR would guess / speculate for retention purposes… when do new hires quit?

Source: entelo.com using 1 million resumesWaiting period

ddHR can prove what causes these “turnover spikes”

Employees that quit

Years at the firm

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During what month do most salespeople quit?

I

Source: Entelo 2015

Turnover seems even… until you add December

During what month should

you start retention efforts?

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Do you see how using data

can change you from “a guesser”…

to a “I can prove it” expert ?

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More reasons why HR must shift

to a new data-driven model

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Almost everyone agrees that HR must become more strategic… and a ddHR approach can do that

When CEO’s and board-level executives rank

business functions… which one is listed as the most

strategic?

Sales

Where was HR ranked on the list?

“the least strategic function” Source: DDI

17

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Almost everyone agrees that HR must increase its business impacts and a data approach can do that

Of the 18 business factors that contributed the most

to business outcomes…

#1 - with the highest impact was… reducing

operational cost structures

“Talent was dead last” (#18)

(source: KPMG / HfS research) 18

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Almost everyone agrees that HR doesn’t use manyanalytics – so there is room for improvement

Where does HR rank in analytics usage compared to other bus functions?

% of advanced users % of non-user

1.Finance 58% 7%

2.Executive team 51% 11%

3.Operations 48% 9%

4.R&D 44% 23%

5.Marketing 41% 16%

6.Sales 34% 20%

7.HR (last) 27% 23%Source: AMA/i4cp 2013

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CEO’s do not have faith in our metrics

Only 12% of CEO’s are confident on the quality

of Human Capital metrics

20AICPA survey 2012

Page 21: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Stop arguing against dramatic change

It’s time to drop the black phone approach to HR

Std. excuse -“our current model has served for years

and it seems like it works fine just the way it is”

Answer… the old ways must be abandoned because

• Every bus. function & many sports shifted long ago

• Executives now expect more from HR

• Technology/big data have much greater capabilities

• Not using data is hurting your shareholders21

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Let’s look at a quick case study

A snapshot of

how Google does ddHR

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Learn from Google

Laszlo Bock VP at Google

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ddHR goal # 3Use data for all key people decisions

“All people decisions are based on data & analytics”

“We apply the same level of rigor, analysis and

experimentation on people as we do the tech side”

Even their famous employee benefits are “broken

down into crunchable, poll-able or graphicable

data”

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Years of assuming that…

“what we have always done” was right…

can be proven to be “completely wrong” with data

Why we must shift

Page 26: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Google data… revealed that they were wrong about what predicts new hire success

“GPA’s

“Test scores

“Brainteasers

Interviews – “many managers, recruiters, and HR staffers think they have a special ability to sniff

out talent”

“it’s a complete random mess”… “we found a

zero relationship” (between interview scores and on-the-job performance)

No value is added “after 4 interviews”

College –“the proportion of people at Google without any college education… has increased over time”

What predicts? –26

are worthless as a criteria for hiring”

are worthless”are a complete waste of time”

Laszlo Bock, Senior VP of people operations at Google The New York Times

“They’re wrong”

“capability & learning ability”

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ddHR goal # 4Data-driven experimentation

Google has an R&D team that experiments

People & Innovation Lab (PiLab) - it runs dozens

of experiments on employees in an effort to

answer questions about the best way to manage

a large firm (on-boarding, diversity, pay,

retirement savings & employee weight)

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An example of a data-driven experiment

1 email results in a 25% improvement in productivity

Each new hire’s manager is sent a JIT on-boarding

email… reminding them to do these 5 things

Have a discussion on their role and responsibilities

Match your new hire with a peer buddy

Help your new hire build a social network

Schedule onboarding check-ins once a month (6 mths)

Encourage an open dialogue

Result – time to minimum productive is 25% faster

Source: Laszlo Bock, SVP Google

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ddHR goal # 5Identify the highest impact actions/ solutions

Project Oxygen showed actions make good managers

1. Be a good coach – have regular one on ones, and provide constructive feedback

2. Empower your team and don’t micromanage –give employees freedom and provide them with stretch assignments

3. Express interest in team members success and personal well-being – get to know employees as people, with outside lives

4. Don’t be a sissy: be productive and results-oriented – help the team prioritize work and remove roadblocks

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Let’s finish up with…

more examples that cover the

remaining ddHR goals

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ddHR goal # 6 It’s critical to convert HR’s results into their $ value

Last year, a revised data-driven recruiting

program for salespeople was implemented

Because of the improved hiring process, newly

hired salespeople now sell nearly 15% more

(+ $5,100 a month or $61,000 per year)

With over 100 sales hires per year, the CFO

calculated that the revenue impact exceeded

$6.1 million

That amount is nearly 4X the total corporate

recruiting budget and 15% of corporate revenue

Page 32: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

What happened here?

Hockey stick approach

32

Turnover %

TimeOctober 2014

Steady turnover of 9 %

Personalized retention plans were implemented

4 % turnover

ddHR goal # 7Use charts to prove that things work

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Conclusion – best practice sharing increases revenue by $250,000

a year, at a cost of $50,000, with an ROI of 4 to 1

Monthly sales

Best

practice

sharing

in sales

started

Sales up

+ 22.4% after 1 yr.

of B. Practice sharing

1st Quarter

$1.5 mil

$1.4 mil

$1.3 mil

$1.2 mil

$1.0 mil.02% change in sales in control group

2nd Quarter 3rd Quarter 4th Quarter

Control group

ddHR goal # 8Use split samples to show programs work

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ddHR goal # 9Calculate the added value of top performers

Prioritize your top performers

The top 1% of your workforce produces what %

of your total output ?

The top 5% produce

Bottom 5%...

A top performer produces how much more than

the average employee in the same job?

- 10 times the average

- 25 times more than average employee

- 300 times more than the average

- 1000 times more than the average

GE, Netflix & Yahoo

5%

Apple

Google

Microsoft

26% (5X) - U of Indiana study

cost up to 2 ¼ X salary/ 1 day week

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ddHR goal # 10 Find out if you should give them a 2nd chance

Performance management Q – what is the cost / time

required to turn level 3 performers into level 1 performers?

1.The firm searched their records and they found that 2 years ago… 1,019 of their employees were rated #3, “needs improvement”

2.They calculated that they spent an average of$26,180 over those 2 years on improving their performance (training, coaching, counseling and manager time)

3. Now 2 years later they checked… the numberthat had improved to #1’s

4.That number was 0

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ddHR goal # 11 Integrated data allows you to “connect the dots”

Don’t miss the costs of unintended consequences

Pocket #1 – Froze safety training (Saved $50,000)

But look at “other pocket” costs after one year…

Pocket #2 – Accident rates doubled (+$400,000)

Pocket #3 – Insurance rates up 23% (+$187,000)

Pocket #4 – Turnover of safety ee’s +15% (+ $89,000)

Other pocket costs = - $676,000 >

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ddHR goal # 12 ddHR reveals the cost of slow

Last year they had only 110 vacancy days in loan officer positions at this Midwestern bank

But then the COO cut the recruiting staff by 20%With fewer recruiters, it slowed hiring, so this

year we had 100 more position vacancy days (210) The CFO calculated that $5000 each day is the lost

revenue when a loan officer position is vacant $5k times the 100 additional excess vacancy days

equals a $500,000 loss per yearThe savings from the 20% recruiter cut was only

$200,000 (a $300,000 net loss)

OMG!

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ddHR goal # 13Use data to influence (vs relationships)

Relationships are slow to build and are quickly

lost when one party leaves… so instead use data to

influence managers

“The best thing about using data to influence

managers… is that it’s hard for them to contest

it”

“For most… just knowing that information…

causes them to change their conduct”

Source: Laszlo Bock

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39Source: Workday Insights Retention Analytics

An example - influence managers with databy distributing ranked reports (retention flight risk)

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This is what data-driven retention looks like (Workday)

Source: Workday Insights Retention Analytics

Software makes decision-making easy

Page 41: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

ddHR goal # 14Improve decision-making speed (GSK)

Open-office design improves decision-making speed

by 45% and cuts the cost of delays / “doing nothing”

41Source: Forbes 2012

Page 42: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

ddHR goal # 15Predictive metrics alert you in time to act

42

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2014 2015 2016 2017

Yearly cost

of turn will

reach

$10 mil

Yearly cost

of turn will

reach

$20 mil

Yearly cost

will

reach

$30 mil

Yearly cost

will

reach

$39 mil

in 2017

Employee turnover projection alert(% of all employees likely to quit)

The average turnover cost in our industry is $4 mil per year

Our firm’s average yearly profit is only $15 mil per year

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Benchmark Google (read Work Rules)

Put together an HR analytics team

Hire HR pro’s with data/analytics skills

Work with exec’s to prioritize HR areasShift from historical to real-time and

predictive metrics to alert

Start with retention –predict who will quit

Next rec. – ID factors that predict success

Run a small split sample/ control group

Use stats to ID what correlates with perf.

Initial action steps to consider under ddHR

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My business impact elevator speech

Hi

I’m a productivity consultant… and I’m here to

increase employee productivity and innovation to the

point where it measurably increases corporate

revenues by $46 million within 12 months, with a

89% success rate and a cost of under $400k.

Do you care what my approach is called?

Page 45: Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach

Do we have time for questions?

45

Did I make you think?

These slides can be found at www.drjohnsullivan.com