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Life insurance, travel insurance, indemnity insurance, and auto insurance held by 50-60 year olds mostly include 'war, civil war, terrorism exclusion clauses,' but the policy language is so complex that it's impossible to know exactly when coverage applies and when it doesn't. In situations like a war breaking out during a Middle East trip or a domestic terror incident, checking whether my insurance works requires waiting 30+ minutes on the insurer's call center, and even the agent often can't give a clear answer.
On the web, users select their insurance types (life/indemnity/travel/auto) and the tool interprets war, terrorism, and disaster exclusion clauses in plain language, providing scenario cards like 'covered in this situation / not covered.' Uploading an insurance policy PDF enables custom analysis based on the actual policy wording.
| 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. |