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As wind power installations surge, maintenance workforce demand is exploding, yet there is no systematic channel connecting certified technicians from training centers with actual power operators (KEPCO subsidiaries, private wind farm operators). Operators spend an average of 2–4 weeks finding qualified personnel, and maintenance delays cost ~$375–1,500 per turbine per day (500,000–2,000,000 KRW) in lost generation revenue.
A Platform where certified wind power maintenance technicians register profiles (certifications, training history, available regions, schedules) and power operators can search and match personnel for emergency or scheduled maintenance jobs. Includes GPS-based nearby technician recommendations, certification expiry alerts, and maintenance history management.
| 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. |
| 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. |
| 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. |