B

Youth Culture Pass Merchant Analytics

3.10

Derivation Chain

Step 1 Expansion of the Youth Culture & Arts Pass
→
Step 2 Cultural voucher-affiliated cultural venues and performance halls
→
Step 3 Merchant sales analytics and program optimization tool

Problem

Small venues, galleries, and bookstores participating in the Youth Culture & Arts Pass program (monthly revenue $3,750–$22,500) lack tools to analyze voucher payment revenue share, time-of-day visit patterns, and popular programs — forcing them to rely on gut feeling for program planning. With voucher settlement cycles (monthly) and in-house POS data kept separately, integrated analysis takes 8–12 hours per month.

Solution

A dashboard that integrates voucher settlement data with POS sales to automatically analyze voucher revenue share, time-of-day/day-of-week visit patterns, and per-program profitability. Core features: (1) Automated POS + voucher settlement CSV integration, (2) Time-of-day and per-program revenue heatmap, (3) Peer merchant benchmark comparison.

Target: Operators of small venues, bookstores, and galleries participating in the Youth Culture & Arts Pass and Culture Nuri Card programs (1–5 employees)
Revenue Model: SaaS Monthly Subscription $29/mo (~₩3.9만) per location, $22/mo (~₩2.9만) per location for 3+ locations. First month Free Trial.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
2.0/5
M Market
2.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (71%)

Tech Complexity
29.3/40
Data Availability
22.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [medium] Data Pipeline [low]
Dashboard