CHAPTER 10
K
EEPING
S
CORE
However beautiful the strategy, you should
occasionally look at the results.
—S
IR
W
INSTON
C
HURCHILL
One of the most common reaso ns that talent manageme nt strate-
gies fail is tha t CTOs and th eir executive teams fai l to periodi cally
evaluate the ef fectivenes s of th ese st rateg ies. Even in cases in
which such tracking is attempted , CTOs and ex ecuti ves don’t al-
ways employ metrics a nd measures that are clearly d efine d and
well-aligned with their organizations’ overall talent management
objectives.
Performance Metrics: Your Organizational
Compass
There are several reasons th at th e construction of effec tive metrics
is essent ial for the success of any talent management process.
First, a solid evaluation proces s ser v es as a conceptual compa ss
for focus ing organizational attention. You can’t , for example, deter-
mine whether you are improv ing in the performance area of ‘‘re-
taining top performers’’ unless you are able to clearly define
leaders w ho meet the c riter ion for bein g ‘to p performers’ (your
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204 B
ENCH
S
TRENGTH
metric), and ho w you evalua te leaders in term s of th is dimensio n
(your mea sure) . In ad ditio n, a co mmon set of c learl y defined met-
rics helps to keep the disparate effor t s of differe nt organiza tiona l
members, operating companies, a nd depar tme nts focused on a few
critical measuremen t factors. In the s ame way, having a common
set of met rics allows you to compa re the progr ess be ing made on
bench-buildin g effo rts across d iffer ent or ganiz ation al units.
Finally, keep i n mind that t he eva luati on mea sures you se lect
send stro ng signals to your organizati on about how you define the
‘success’ of bench -buil ding programs. For example, you could de-
fine succ ess in terms of ‘‘pipeli ne yield metrics, ’’ such as th e per-
centage of internal leadership p ositions that are filled internall y
rather than through external hir es. The use of such a measure will
direct your talent management ef forts along a very different path-
way from such alterna tive measur ement appro aches as eva luati ng
the quality of leadership placem ents (e.g., ‘‘the percentage of exter-
nal or internal job ca ndida tes who are p erforming in top apprai sal
categories twe lve months after hire, or afte r promotion into new
positions’’).
If perfor mance metrics are important, the qu estio n then be-
comes how to make them work for you . I rec ommen d that you
concentrate on five talent manag ement actions. As illustrate d in
Figure 10-1, th ese ac tions relat e to fi ve hur dles t hat yo u need to
jump in or der to design and i mplem ent effective lea dersh ip talent
metrics:
Step 1: Ensure Th at Metrics Are Relevant
and Valid
The metrics tha t you select should be very rel evant to you r tale nt
requirements. At first this might seem so self-evident as to seem
unwor thy of discussi on. After al l, wha t exec utive would bothe r
with a performance metric that di dn’t meet this criterio n? How-
ever, it’ s impor tant to realize that whether they intend to or not,
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Figure 10-1. Jumping the five hurdles that accompany the creation of talent metrics.
You need metrics
that are relevant
and valid
A baseline for
comparison
A measurement
system that is
efficient
A means of
reinforcing the
performance that
you are measuring
Does it measure an
aspect of talent
management that is
important?
Does it measure what
it says it measures?
Are we aligned on the
metrics we choose to
use?
Will we be able to
measure it when
needed?
Who owns the
monitoring process?
(HR, the CTO, or
another function?)
What are the best
comparison groups?
Should we limit our
benchmark study to
companies within our
industry?
How much emphasis
should be placed on
internal (historical) or
external
benchmarking?
What are the
consequences for
managers or
organizational units that
fail to perform well
against these metrics?
To what degree should
metrics be used as
advisory guidelines or
mandated policies?
Do we agree on the approach that we intend to employ to measure and evaluate the effectiveness of our talent
management efforts? Do we agree on who will collect this data and how it will be used?
Organizational stakeholders must be aligned on how metrics and measures will be employed.
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