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SMEs that receive export vouchers must choose the right partner from hundreds of KOTRA-designated service agencies (translation, design, marketing, etc.), but lack sufficient information to compare each agency's actual track record and quality. Roughly 15% of companies waste their voucher budget and miss deadlines due to poor agency selection, incurring opportunity costs of 5-20 million KRW (~$3,750-$15,000) per case.
A matching tool that (1) collects per-category performance data (completion count, completion rate) for export voucher service agencies, (2) aggregates real user reviews and ratings, and (3) calculates automated matching scores based on company needs (industry, language, region). Core: agency performance data + user review crawling + needs-based weighted matching algorithm.
| 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. |