Local Festival Digital Guestbook

3.40

Derivation Chain

Step 1 Revitalization of traditional festivals like Sancheong-gun Jisinbapgi

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Step 2 Local governments' need for festival visitor data collection

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Step 3 Digital tools for collecting and analyzing festival visitor data

Problem

Local governments across Korea host over 1,200 regional festivals annually (like Sancheong-gun's Jisinbapgi folk ritual), but visitor counts are tallied manually with ±30% accuracy. They fail to systematically collect visitor satisfaction, revisit intent, and spending pattern data, resulting in weak budget justification for the following year. Outsourcing surveys costs $3,750–$7,500 (~5–10 million KRW) per engagement, which is unaffordable for smaller municipalities.

Solution

Provides a QR-based digital guestbook where visitors complete a brief survey (5-point satisfaction, spending range, revisit intent) while earning stamps. A real-time dashboard visualizes visitor counts, satisfaction, and spending patterns, and auto-generates standardized reports for Ministry of the Interior and Safety submissions.

Target: Festival coordinators in Culture & Tourism departments of small-to-mid municipalities (pop. 50K–200K), aged 30–50; festival management/event agencies

Revenue Model: Per-festival pricing — $290 (~390,000 KRW) for a 3-day festival (up to 5,000 visitors), $0.07 (~100 KRW) per additional visitor, 30% discount for annual packages of 3+ festivals

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

5.0/5

V Validation

2.0/5

NUMR-V Scoring System

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (81%)

Tech Complexity

40.0/40

Data Availability

20.6/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

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.

Market Validation (50/100)

Competition

8.0/20

Market Demand

9.4/20

Timing

10.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

8.0/10

Validation Breakdown

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.

Technical Requirements

Frontend [low] Backend [low] Data Pipeline [low]

Dashboard