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Ahead of local elections, regional news outlets and online media publish poll results only as static images or tables, resulting in low reader engagement and poor social media sharing rates. Building interactive charts in-house requires a frontend developer to spend 2–3 days per poll, and most regional outlets lack development staff entirely.
Upload poll data (CSV/Excel) to automatically generate interactive charts (candidate comparison, trends, regional support maps) and receive embeddable widget code for articles. Core features: (1) Drag-and-drop data upload, (2) 6 chart templates (bar/donut/trend/map/comparison/demographic), (3) Mobile-responsive embed code, (4) Real-time data updates.
| 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. |