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With the 2025 curriculum reform shifting history courses toward inquiry and experiential Learning, middle and high school history teachers (approximately 15,000) must design new lesson scenarios for every unit. There are demands to incorporate modern scientific methods like DNA analysis and carbon dating into lessons, but from gathering materials to creating worksheets, each lesson takes 4–6 hours to prepare.
Select a curriculum unit and automatically generate inquiry-based lesson scenarios (introduction–development–summary–assessment) utilizing the latest archaeological and DNA research cases. Provides worksheet PDFs, quizzes, discussion topics, and reference video links as a package, with teacher customization options for difficulty level and duration.
| 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. |