SME Senior Talent Board

2.70

Derivation Chain

Step 1 Experience-based re-employment matching

→

Step 2 Limitations of seniority-based filters on existing platforms

→

Step 3 Decomposing 'industry-specific know-how' needed by SMEs into skill-unit matching

Problem

An owner of an SME with 50 or fewer employees wants to hire a 30-year veteran manufacturing quality control expert, but filtering for '20+ years experience' on job portals like Saramin or JobKorea only surfaces high-salary candidates from large corporations. What they actually need is a micro-skill match like 'ISO 9001 audit experience + small factory line design.' Headhunters charge 20-30% of annual salary as fees, which is prohibitive for SMEs.

Solution

Senior job seekers register their careers decomposed into 'industry × job function × specific skill tags,' and SMEs search and match by 'required skill tags' on a web board. Since matching is skill-based rather than salary-based, part-time, advisory, and project-based contracts are naturally facilitated.

Target: Ages 50-60, retirees or soon-to-retire workers from large/mid-size corporations, 20+ years of experience in a specific industry, preferring advisory/part-time roles over full-time re-employment

Revenue Model: Free registration for job seekers. Per-match connection fee of 300,000 KRW (~$225) for employers (1/10 of headhunter fees). Monthly Subscription (unlimited search) at 190,000 KRW/month (~$142).

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

2.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (68%)

Tech Complexity

29.3/40

Data Availability

18.3/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (50/100)

Competition

8.0/20

Market Demand

3.8/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

9.0/15

Solo Buildability

5.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [medium] Backend [medium] Data Pipeline [low]

Dashboard