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Small trot regional concert production companies (1-5 people) manually settle 10-20 line items per show—ticket revenue, sponsor fees, performer fees, equipment rentals, transportation—using spreadsheets. At 4-8 shows per month, settlement alone takes 5-8 hours weekly, and calculation errors in performer/staff payouts cause 2-3 disputes per year. Complexity spikes sharply for joint concerts with multiple performers.
A SaaS that takes show revenue and expense inputs, automatically calculates per-performer and per-staff payouts, and computes net amounts after tax deductions. Features include contract-based auto-applied split ratios, KakaoPay/Toss payment integration, and a per-show P&L analysis dashboard.
| 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. |