This document discusses challenges in using people analytics and data to make hiring and promotion decisions. It recommends using data to set a threshold for job requirements but also considering "distinguishing competencies" during interviews. For promotions, it advises promoting those with integrity and compassion over petty tyrants, as research shows the former improves business success and morale long-term. Managers are told to understand data limitations and distinguish baseline from outstanding qualifications when hiring, and to consider character and leadership impact on employees when promoting.

1. What People
Analytics Can’t
Capture
by Varun Tandon
By Daniel Goleman
An Analysis Of

2. How to Hire?
Who to Promote?
The HR’s Dilemma

3. How To Hire?
One way to hire is to use
big data analytics &
personality test scores
to predict who is best
for a given job.

4. But,
Experts caution us saying “Statistics
means never having to say you are
certain.”
So, Should We Really Hire
Based On Data?

5. Yes,
Use Data Analysis to build a threshold
for the Job.
But,
Hire once you know the guy has
“Distinguishing Competencies”.

6. Who to Promote?
Do promote
“The guy with integrity
and compassion”
Don’t promote
“The demotivating petty
tyrant”

7. Why “The guy with integrity
and compassion”?
He can sustains the life-blood of any
organization.
Research shows his traits are
surprisingly strong drivers of business
success.

8. Why not “The demotivating
petty tyrant”?
Managers who focus too much on
performance at the expense of people
can be ruinous to the organization over
the long term.

9. So As a Manager,
What Can You do when you
hire?
● Understand the limits of your data analysis
and set the threshold accordingly.
● Keep in mind the distinction between a
threshold competence and a distinguishing
one.

10. So As a Manager,
What Can You do when you
promote?
● Consider the power of a leader’s character.
● Consider the guy’s role as a boss and his
impact on the morale, loyalty, focus, and
stress levels of his direct reports.

11. Thank You!