MATRIX
SEARCH
Date:
28-01-2006
Author: Rahul
cc: Saurabh → Ranav → Vikram → Rajeev
1️⃣ 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.
2️⃣ Core Search
Questions for HR Managers
Every
HR manager ultimately wants to know two things:
- Is
the candidate competent?
- 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.
4️⃣ 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)
3️⃣ 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.
4️⃣ 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.
6️⃣ 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.
7️⃣ Final Note
“Please
feel free to question me on the UI enclosed.”
(Rahul / 28-01-06)





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