B

Youth Employment Program Performance Tracker

3.35

Derivation Chain

Step 1 Expansion of university youth employment support programs
→
Step 2 Employment program operations infrastructure
→
Step 3 Participant performance tracking & reporting automation

Problem

Hundreds of billions of won are invested annually in university employment support programs such as the Ministry of Labor's 'First Step Job Guarantee Centers,' but outcome metrics — employment rates, retention rates, satisfaction scores — are collected and reported using Excel. A single staff member spends 30+ hours per month on data collection and organization, and when the Ministry of Labor changes its reporting format, reprocessing existing data takes an additional 2-3 days.

Solution

Provides automated SMS/KakaoTalk survey distribution to participating students, automatic response data aggregation, and one-click performance report generation formatted for Ministry of Labor and Ministry of Education submission requirements. Automatically tracks each student's employment timeline for real-time monitoring of 6-month and 12-month retention rates.

Target: University career support center staff (3-10 employees), universities commissioned by regional labor offices (~60 universities nationwide)
Revenue Model: SaaS Monthly Subscription $97/month per university (~129,000 KRW, up to 500 students), $187/month for 1,000+ students (~249,000 KRW)
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (74%)

Tech Complexity
34.7/40
Data Availability
19.4/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (59/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [low] Infrastructure [low]
Dashboard