B
SME Recruitment Posting Legal Review Service
3.60
Derivation Chain
Step 1
Strengthened industrial employment labor laws
→
Step 2
Increased fines for Recruitment Procedures Act violations
→
Step 3
Automated legal review tool for job postings
Problem
SMEs with 10-50 employees must comply with the Recruitment Procedures Act, Labor Standards Act, and Employment Policy Basic Act when writing job postings, but without a dedicated HR team, violations are frequent. Violations such as 'gender/age restriction language,' 'encouraging resume inflation,' and 'false salary information' incur fines of up to 5 million KRW (approx. $3,750), with about 3,000 cases detected annually.
Solution
Enter the job posting text to automatically detect violations of the Recruitment Procedures Act and Labor Standards Act, and receive correction suggestions. Provides industry-specific standard job posting templates and attractiveness analysis compared to competitor postings. Differentiation: a rule engine specialized in Korean labor law, with real-time updates for legal amendments.
NUMR-V Scores
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. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (77%)
Data Availability
22.1/25
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 (57/100)
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
AI/ML [medium]
Backend [low]
Frontend [low]