Career Expertise Demand Map

3.10

Derivation Chain

Step 1 Experience-based re-employment and solo entrepreneurship matching

→

Step 2 Lack of market demand visibility for career expertise

→

Step 3 Mapping demand sources by industry and role for experienced professionals

Problem

When professionals in their 50s with 25+ years of industry experience seek to leverage their expertise after retirement, job platforms like WorkNet or Saramin lack filters for '15+ years experience' and salary floor constraints make searches impossible. Meanwhile, SMEs and startups desperately need advisory from corporate veterans but have no way to connect. This information asymmetry has left both sides unmatched for years.

Solution

Users input their industry, role, and core competency keywords, and the tool visualizes demand for their expertise in a map format across four tabs: (1) SME advisory demand, (2) government expert pool recruitment, (3) university/public institution mentoring, and (4) solo consulting opportunities. Each tab crawls and displays recent postings and projects in real time.

Target: Ages 50–60, retired 1–3 years from large corporations or public institutions, 20+ years in manufacturing, IT, finance, or construction

Revenue Model: Free basic demand map access. Custom demand-matching report at $7.40/month (~9,900 KRW). 10% brokerage commission on successful advisory project placements.

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

2.0/5

V Validation

4.0/5

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 (70%)

Tech Complexity

29.3/40

Data Availability

20.8/25

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 (61/100)

Competition

8.0/20

Market Demand

9.4/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

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] Data Pipeline [medium] Backend [low]

Dashboard