Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

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Friday, 28 April 2006

MATRIX SEARCH

MATRIX SEARCH

Date: 28-01-2006
Author: Rahul
cc: Saurabh → Ranav → Vikram → Rajeev


1️ Problem with Traditional Resume Searches

“The problem with normal/standard/traditional resume searches is that a HR manager has no inkling, no hint, no clue as to how many candidates meeting his search criteria the search will yield.”

A search could return 5, 50, or none, forcing the HR manager to restart the process repeatedly, which is frustrating and time-wasting.


2️ Core Search Questions for HR Managers

Every HR manager ultimately wants to know two things:

  1. Is the candidate competent?
  2. Can we afford to improve upon his current salary?

Some job sites allow filtering by current salary (e.g., Monster, Naukri, TimesJobs).

“They have ‘Current Salary’ as a search parameter in their Resume Search Forms.”

However, no jobsite provides a way to measure or quantify Competence.

Introducing Functional Competence Percentile (USP)

“None of the jobsites have ‘Competence’ as a search-criteria — because no existing jobsite has any method, mechanism or process to measure/quantify competence.”

That’s where your proprietary innovation comes in:

Functional Competence Percentile (FCP) — the first quantitative index for measuring professional competence derived from resume data.

Hence, Global Recruiter / GunSearch has a unique selling proposition (USP):

  • The ability to numerically rate and rank competence.

4️ Enabling Competence-Based Resume Searches

Using Functional Competence Percentile as a search parameter, HR managers can conduct far more meaningful searches.

“GunSearch has this feature.”

This innovation satisfies the first key HR question —

“Is he competent?”

But as Rahul notes, this is only a partial answer — it must be complemented with other filters (salary, experience, etc.) to become a complete Matrix Search.

MATRIX SEARCH (continued)

(Rahul → Saurabh → Ranav → Vikram → Rajeev | 28 Jan 2006)


3️ The Dual-Criterion Challenge

For a HR manager, unless the candidates meet both the criteria of
Competence and
Affordable Salary,
it is just not good enough.

If:

  • “Competent candidates are very expensive,” or
  • “Affordable candidates are duds,”

then the entire search effort is a waste of time.


4️ Leveraging the USP

“This is where we can leverage our USP.”

By enabling HR managers to pre-select any desirable combination of:
Competence vs Salary,
(after first choosing Function and Design Level),
we let them narrow searches intelligently instead of blindly.

Predictive Search Insight

Before launching a search, the system can show—using existing data—whether there are enough candidates who satisfy both criteria.
This pre-search validation dramatically reduces wasted queries and frustration.


6️ The Competence × Salary Matrix

A quick look at the Percentile vs Salary Matrix instantly tells an HR manager how competence levels trend against salary expectations.

“If he attaches a lot of importance (i.e. weightage) to Percentile Score, he’d better be prepared to pay through his nose — because the cells in the matrix will appear as follows:”

(diagram sketch reproduced below conceptually)

Salary Range (₹)

Competence Percentile Bands (→)

Trend Line (Insight)

0 – 3 L / yr

10 – 30 – 40 – 50 – 60 – 70 – 80 – 90 – 100

upward slope → higher competence ↔ higher salary

3 – 6 L / yr

"

"

6 – 9 L / yr

"

"

9 – 12 L / yr

"

"

Essentially, competence percentile correlates positively with salary expectations — forming the “Matrix Curve” that helps managers balance skill vs cost.


7️ Final Note

“Please feel free to question me on the UI enclosed.”
(Rahul / 28-01-06)

 







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