B

Policy Benefit Eligibility Change Tracking Service

4.00

Derivation Chain

Step 1 Mass issuance of government policy briefings
→
Step 2 Eligibility changes due to policy updates
→
Step 3 Tracking the impact of eligibility changes on my welfare benefits

Problem

A late-50s office worker faces frequent changes in eligibility for government benefits due to monthly policy updates (health insurance premium criteria, employment support eligibility, pension-related schemes, etc.). To check eligibility, they must visit 6-7 different ministry websites and review individual conditions, spending 2-3 hours per month while still missing out on benefits. In particular, changes in income brackets and asset criteria are not automatically reflected, leading to missed benefits worth 500,000 to 2,000,000 KRW (approximately $375–$1,500) annually.

Solution

On the web, users input age, income bracket, asset size, and family composition, and the service automatically extracts and displays items among recently changed government policies that affect their benefit eligibility. Key features: (1) automatic crawling of policy changes and parsing of eligibility conditions, (2) profile-based eligibility change matching and notifications, (3) a change history timeline that retroactively identifies missed benefits.

Target: Office workers and self-employed individuals aged 52-60, with a spouse and adult children, supporting parents, interested in government benefits but lacking time to search for information.
Revenue Model: Basic eligibility change checks are free. A Premium subscription at 3,900 KRW/month (approximately $2.93) provides real-time alerts, retroactive benefit discovery reports, and one-click application links.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (61/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
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 [low] Data Pipeline [medium]
Dashboard