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When new products like Galaxy Buds4 launch, audio accessory companies (cases, ear tips, charging docks) need to quickly capture complaints and needs from user reviews to plan new products. Manually analyzing reviews across Coupang, Naver, and Amazon takes 2-3 weeks per product, creating opportunity costs as competitors gain first-mover advantage.
Automatically collects multi-channel reviews for specific audio products and provides a dashboard with sentiment analysis by category (fit, sound quality, battery, noise cancellation, etc.). (1) Automated review collection from Coupang/Naver/Amazon, (2) Positive/negative/neutral sentiment classification by category, (3) Automatic extraction of complaint keyword trends and accessory opportunity points.
| 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. |