When adult children in their 50s try to place a parent (80+) with a long-term care rating into a nursing home, they typically compare only the publicly listed copay from the Health Insurance Corporation (500-600K KRW/month, ~$375-$450). In reality, non-covered items (meal supplements, snacks, grooming, program fees, upgraded room charges, etc.) add 300-800K KRW/month (~$225-$600). These hidden costs are only disclosed in admission contracts, making pre-comparison impossible — leading to frequent post-admission disputes over unexpected charges.
Select a region and care rating to see a comparison table showing each local nursing home's publicly listed copay plus estimated average non-covered costs per category, producing a 'true monthly cost' estimate. Combines National Health Insurance Corporation long-term care facility data with user-reported cost data to assign a cost transparency score to each facility.
| 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. |