Mid-sized manufacturing and IT companies with revenue of $37.5M-$375M (~50-500 billion KRW) must respond annually to 5+ ESG rating agencies (S&P, MSCI, KCGS, etc.), but each agency has different indicator frameworks and submission formats. 1-2 dedicated ESG staff spend 3-4 months annually on report preparation, with external consulting costs reaching $22,500-$75,000 (~30 million-100 million KRW) per year. When criteria change, missed indicators risk rating downgrades and institutional investor withdrawal.
Integrates and maps indicator frameworks from 5 major ESG rating agencies so companies can enter data once and auto-convert and distribute it to each agency's format. Highlights year-over-year indicator changes and generates improvement guidance for missing items using LLM.
| 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. |