Akshay / Rohit,
In one of our meetings , Mitchelle wondered :
“ How can some algorithm help us figure out , the culture fit ( index
? ) of a candidate with the culture of our client ? “
In this connection , you may also recall my requesting
you to look up words marked in RED , ( also
highlighted in YELLOW ) in 7 / 8 “
Stories “ at :
I wonder if you have thought about this ( possibility
) “ INDEX “
Here is my suggestion to develop such an INDEX ( though , it may look , a bit contrived / crude
)
STEP # 1
We get the client HR Manager, to “ tick “ words from the following list , which , in his
opinion , best describe their CORPORATE CULTURE
We could even ask him to “ rate “ each keyword on a scale of 1 to 5 ( 1 denoting “ least
representative “ and 5 denoting , “ perfectly fitting / describing “ ) . Then compute
some OVERALL INDEX
This could be a part ( B ) of Job Description
# CORPORATE
SUCCESS
Largest / Most Established / Fastest
Growing / Entrepreneurial / Traditional / Highly respected / Technology
Leader / Most Innovative / Market leading / Service Driven
# CULTURAL SUCCESS
Smart / Diverse / Hardworking / Motivated / Team
player / Friendly / Loyal / Happy / Fun / Flexible / Serious / Dedicated /
Ambitious / Collaborative / Independent
Note : I have picked these words from book “ Recruiting on the Web “ ( Author : Michael Foster
/ page 14 )
My own note on this page reads ( 22 July 2003 ) :
Our “ Customizable “ MASTER , should provide a
set of “ Key Sentences “ , instead of “ Key words “
STEP # 2
Here there can be several options such as,
·
Getting the
candidates to “ Self Rate “ themselves ,
against these keywords ( expect every one to rate himself HIGH ! )
·
·
Getting our consultants to “ Rate “ each candidate ( along
each keyword ) , during interview ( telephonic or across the table ) .
A bit tricky
to reach a judgement , based on a few sentences uttered by the candidate ! This
would also require “ Standardizing “ of
certain “ Questions “ , which bring out
that candidate’s character !
Using the Keywords found in his resume
which are “ indicative “ of his “ culture “ . Once again , this would require
our consultants to reach a consensus and create some kind of MASTER LIST , as to ‘ which ‘ keyword is
representative of “ which “ culture
All of this may sound somewhat esoteric but it is
certainly better than nothing !
And it is a one time “ Seeding
Effort “
I have a feeling that , if our consultants take the
trouble to write down ( say ) 25 “ RULES
“ ( IF this , THEN that ), which ESTABLISH some correspondence between Keywords
and the INDEX , machine learning , may over a period of time , discover / come up with many more rules !
This is the only way , we can stop others (
competitors ) making us obsolete !
Take time out to read :
hcp
No comments:
Post a Comment