B

Work-Related Injury and Occupational Disease Self-Check Service

3.80

Derivation Chain

Step 1 Public administration industrial accident data openness
→
Step 2 Increased occupational disease risk for long-term workers in their 50s
→
Step 3 Problem of not knowing or giving up on industrial accident recognition procedures

Problem

Long-term workers in their late 50s in manufacturing, construction, and office jobs experience chronic back pain, carpal tunnel syndrome, hearing loss, and lung diseases, but they do not know whether these can be recognized as industrial accidents, so they pay for treatment as general illnesses out of pocket. The industrial accident claim process is complex (more than 10 types of documents, average 3-6 months), and it is estimated that over 70% of suspected occupational disease cases are abandoned due to concerns about their employer. If recognized as an industrial accident, they can receive full treatment costs plus temporary disability benefits, making a difference of millions to tens of millions of KRW per case.

Solution

On the web, users input their occupation, years of service, and symptoms, and the system checks the likelihood of industrial accident recognition based on a database of past recognized cases, and provides a list of required supporting documents and application procedures. Key features: (1) pre-check of industrial accident recognition likelihood based on occupation and symptoms (matching similar recognized cases), (2) step-by-step guide to the industrial accident application process + checklist of required documents, (3) information on connecting with local industrial accident hospitals and labor attorneys.

Target: Individuals aged 50-60 with 20+ years in manufacturing, construction, or office jobs, who have chronic pain or illness but have not considered filing an industrial accident claim.
Revenue Model: Self-check is free. Detailed recognition likelihood report: 9,900 KRW per transaction (approx. $7.40). Brokerage fee for connecting with labor attorney consultations.
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
32.0/40
Data Availability
17.9/25
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

Frontend [low] Backend [medium]
Dashboard