The Ladder of Inference
At my previous work place, the client
that we worked for was British Telecommunication. I was once given a challenging
assignment to be delivered within a short time-frame I was asked to form a team
of four people – to perform different roles and complete the project. As we
were already three, there was a requirement for just one resource.
Below is the elaboration of the
scenario in terms of The Ladder of Inference.
Observable Data: As mentioned in the definition, at the bottom of the ladder is the
observable data – It is everything we might capture the situation as we do
through camera.
As we began the recruitment
process, we received many (around 11) CVs (Curriculum Vitae) of people, having a
diverse experience, different levels of competences, and people who did handle
different tasks in the past. Everything was mind boggling at the start. I found
it difficult to understand and figure out - whom to select, who was most
appropriate and for which positions.
Select Data –It was a big piece of data to process, therefore I filtered out the
not so impressive CVs based on our selection criteria. I chose the six best CVs
out of 11. This selection of data is very difficult to explain, I selected based
on what I observe.
Meanings – I started relating my stored thoughts, about the six best CVs that I
picked up. I began to relate the situations with culture, nationality, pervious
experiences, and level of competences, how long they had worked in different
projects and other background related information etc.
Assumption – From there I moved to the next round which is assumption. I feel this
was the trickiest stage among all other stages. I started adding meaning,
thoughts and ideas about their personalities. I don’t know how much I succeeded
in building my own assumption. To what extend theses “Assumptions” were valid
and whether these assumptions added value to my actions and beliefs.
Conclusion – From there I moved to conclusion, a step higher in the ladder close to
beliefs. I planned interviews and questioned candidates. I tried to find out
the data that one would not want to say or share in the resumes. To do this, I
got better insight of the personalities of the individuals. Also, my preconceived
thoughts were clarified and the image about each candidate was now more
transparent.
Beliefs – Now after questioning for couple of times, I decided to revisit my
selected data, upon which my beliefs were formed. I clarified many thoughts
about the way they handled the situations at work place and in personal life.
Below are some of the question is enquired:-
·
What are their short and long term goals?
·
Questioned about skills and experience to do the job.
·
Enquiry about enthusiasm and interest in the job
·
Whether they will fit in
·
What are your strengths and weaknesses?
·
How they helped resolve or improve a difficult situation?
·
Were resilient in adverse conditions?
·
Explain any situation where they had demonstrated emotional intelligence
and cool-headedness?
·
What motivates you to do a good job?
I did a recursive process of
relating the observable data and beliefs. Asking more questions leads to
situations, where I look for observable data to get a complete picture of the
candidate. This is a reflexive loop, where belief affects what data I would
select the next time. Performing these activities several times lead me to a final
conclusion. I decided to recruit that person for our team.
Action – Even if I was not satisfied with the responses from the candidate, I
tried to ask more number of questions. I tried to draw as much information as I
could from the candidate, then I began to look at the data which I selected at
the initial stage. Since, this was the last stage to make final decision. I did
the recursive loop processing for the data that was selected and the meaning
and beliefs was added to it. Do not get into the recursive loop, where you act
based on your assumption.
Later, we didn’t find the person
suitable for our team. He also left the project in the middle that had made our
project in jeopardised. I think my assumptions are not appropriate. During the re-iteration
I found myself wrong many times.
So to conclude – I must move down
the ladder following the simple rules of questioning my assumptions and
conclusions. Also, if I wanted to inquire more, I asked myself what data I
selected what was my assumption.
Thanks for reading!
Have a nice day!
Best regards,
Abhinav Shrivastava
Abhinav Shrivastava



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