B

National Health Checkup Cancellation Alert

2.70

Derivation Chain

Step 1 Aging society and growing health management interest
Step 2 Stagnant checkup completion rates among ages 40–60
Step 3 Preferred hospitals and dates fully booked, leading to year-end rush or skipped checkups

Problem

Workers and regional subscribers aged 40–60 trying to book their national Health Checkup find that preferred clinics are booked 2–3 months out, with Saturday and weekday morning slots especially competitive. There are no real-time notifications when cancellations occur, forcing people to call or check websites daily. They end up procrastinating until December's year-end rush or skipping the checkup entirely, missing early detection of health issues.

Solution

Users register 3–5 preferred checkup facilities and desired dates/time slots on the web. When a cancellation opens up, they receive an instant KakaoTalk or SMS alert. One-click navigation to the booking page. Also provides a preparation checklist by checkup item.

Target: Ages 40–60, national Health Checkup eligible, office workers (prefer Saturdays) or Self-employed (prefer specific weekdays)
Revenue Model: 3 basic alerts free; unlimited alerts + multi-facility monitoring $3.70/month (월 4,900원); clinic profile placement ads (B2B)
Ecosystem Role: Supplier
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (57%)

Tech Complexity
24.7/40
Data Availability
20.0/25
MVP Timeline
12.0/20
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.

Market Validation (54/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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.

Technical Requirements

Data Pipeline [high] Backend [medium] Infrastructure [low]
Dashboard