FUNCTIONAL SPECS

Kartavya

Abhi

Nagwekar

Inder

Function Specs – [Ad Compose Module] – [Interview Module]

We know that leading job sites (Monster/Naukri/JobsAhead/JobStreet etc.) already have a Resume Tracking Service.

For each job advertisement released by a corporate subscriber, the software records (& displays):

• Total no. of resumes received

• No. of resumes found “good” & shortlisted
  (I am not aware what criteria these softwares use to sort between “good” & “bad”).
  Inder should try to find out.

So, when we plan to do the same thing (see my yesterday’s notes, CFC(I) & CFC(II)), we are only trying to “copy”!

But what surprises me is that why these job sites have failed to take the next logical step, and “predict” how many resumes are likely to be received by the advertiser, against any given job advertisement that he posts.

They (the job sites) have all the statistics to produce following kinds of frequency-distribution graphs (one for each “function”):

(Sketch of a bell curve graph labeled:)

• X-axis: “No. of Resumes recd. in past”

• Y-axis: “No. of Job Advts”

• Example values: 16, 225, 496 resumes received

• (Say) Function = R&D

• Population: 2342 (of past job advts)

This curve shows the probability of receiving XYZ no. of resumes (within ±10/20/30%) for a given function,

or for a given:

• “Industry”

• “City”

• “Designation”
  etc.

This is one more “byproduct” without putting in any extra time/effort.

And remember to give it a jargon – JOB ANALYTICS?

And the curve gets better & better with each new job advertisement created/composed/posted on Global Recruiter.

(signed)