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During K-POP awards season (4-6 major ceremonies per year), fan club managers (fandom managers) manually coordinate fan mobilization, collect voting proof submissions, and track rival fandom trends until voting deadlines. They spend 20-40 hours per awards show manually gathering data across 3-5 platforms (Twitter, fan cafes, Discord, Instagram), making real-time strategy adjustments impossible.
Provides a real-time dashboard aggregating major awards show voting status (based on public data), social media buzz volume, and fan cafe activity levels. Includes competitive fandom voting gap analysis, optimal mobilization time-slot recommendations, and automated voting proof collection via image OCR.
| 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. |