Post-Closure Unemployment Benefits Navigator

4.25

Derivation Chain

Step 1 Small business closure and transition management

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Step 2 Post-closure tax settlement completed

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Step 3 Unable to assess eligibility for self-employed unemployment benefits and restart support funds after closure

Problem

Self-employed individuals aged 45-60 don't know whether they qualify for self-employed unemployment insurance benefits after closing their business. The requirements are complex — minimum 24 months of enrollment, revenue decline criteria (3 consecutive months of losses), proof of involuntary closure, etc. — and there's no way to self-assess before visiting an Employment Center. Many miss out on up to 1.98 million KRW/month (~$1,485) for up to 7 months, totaling approximately 14 million KRW (~$10,500).

Solution

On the web, users enter their employment insurance enrollment history, closure reason, revenue trends, and business type, and the service: (1) pre-assesses eligibility for self-employed unemployment benefits, (2) identifies unmet requirements and guides users on how to fulfill them (e.g., revenue decline documentation), and (3) generates an Employment Center visit document checklist plus estimated benefit amount and duration.

Target: Ages 45-60, Self-employed with 5+ years of operation who are about to close or have just closed their business, enrolled in self-employed employment insurance

Revenue Model: Eligibility pre-assessment free; detailed benefit simulation + document checklist + application draft at $3.75 per transaction

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

5.0/5

M Market

3.0/5

R Realizability

5.0/5

V Validation

4.0/5

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 (73%)

Tech Complexity

32.0/40

Data Availability

20.8/25

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 (59/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

9.0/15

Pick-Axe Fit

12.0/15

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 [medium]

Dashboard