Solo Self-employed business owners aged 45-60 (cafes, hair salons, academies) spend 1-2 hours daily posting 3-5 times per week on Instagram, Naver Blog, and KakaoTalk Channel, but cannot determine which posts actually drive sales (visits, bookings, purchases). Posts with many 'likes' don't necessarily increase revenue, and without criteria for which channel to prioritize, they waste time copying the same content across all channels.
Enter SNS post URLs and that week's sales/booking numbers on the web to visualize sales correlation by channel and content type (menu introduction/promotion/review/lifestyle). Provides monthly reports with insights like 'Instagram menu introduction posts have the highest sales correlation.' The key differentiator is measuring effectiveness by actual sales, not like counts.
| 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. |