Vulnerable populations such as elderly living alone, persons with disabilities, and single-parent households cannot find the welfare services and facilities they are eligible for, and social workers must manually research facility availability by region
Solution
Integrates social welfare facility data, childcare center data, and National Pension workplace enrollment data to automatically recommend tailored welfare services and facilities based on user profiles (age, income, region, household type), with route guidance included
Target: Local government social welfare departments, community welfare centers, welfare Platform operators
Revenue Model: B2G annual license for local governments + SaaS monthly flat rate for welfare centers
Ecosystem Role: -
MVP Estimate: -
NUMR-V Scores
N Novelty
2.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
3.1/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (80%)
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 (62/100)
Competition
12.0/20
Market Demand
25.0/20
Timing
10.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
0.0/15
Solo Buildability
0.0/10
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.