S
Public Sector Job Application Auto-Filler
4.35
Derivation Chain
Step 1
KORAIL large-scale Recruitment
→
Step 2
Public institution Recruitment document preparation
Problem
During public institution recruitment seasons — such as KORAIL hiring 1,830 positions — applicants must prepare 5-8 different documents per institution, including personal statements, career descriptions, and NCS (National Competency Standards) self-assessments. Each institution uses different formats, making it difficult to reuse previous applications. Completing documents for one institution takes 15-20 hours on average, meaning applicants targeting 3-5 institutions simultaneously need 60-100 hours total.
Solution
Enter career history, experiences, and competencies once, then select target institutions and positions to auto-generate personal statement drafts tailored to each institution's format. Features include experience mapping across all 10 NCS core competency areas, institution-specific talent profile keyword integration, and character count optimization.
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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (70%)
Data Availability
20.8/25
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 (62/100)
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
Backend [medium]
Frontend [medium]
AI/ML [low]