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When oil prices exceed $100 per barrel due to Middle East war, it's hard to feel how much monthly living costs will rise for a 50-something household. It's not just fuel costs—gas, electricity, food prices, and taxi fares all rise in a chain reaction, but there's no tool that aggregates this based on 'our household's situation.' News says 'oil up 10%,' but without knowing 'how many thousand won more per month for us,' anxiety just grows.
On the web, users input monthly fuel usage, heating type (city gas/kerosene/electric), commute distance, and family size. The tool calculates additional monthly spending by category for oil price scenarios ($80/$100/$120 per barrel). It also includes the chain impact on food and transportation costs based on actual inflation data from the 2022 oil price surge.
| 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. |