Long-Term Care Rating Autopilot

3.75

Derivation Chain

Step 1 Elder care administration delegation

→

Step 2 Fragmented long-term care rating application process

→

Step 3 One-stop management from rating determination through benefit combination optimization

Problem

A 55-year-old office worker applying for a long-term care rating for their 82-year-old mother must navigate: National Health Insurance Service application → doctor's opinion issuance (hospital) → assessment schedule coordination → rating decision wait → post-decision benefit selection (home care/facility/special cash). This involves visiting 4 different agencies over an average of 45 days. Required documents, deadlines, and precautions for each stage are scattered across different websites, and since processing must happen during weekday business hours, workers use up 3-4 vacation days.

Solution

Users enter their parent's age, conditions, and current care status on the web, and the tool: (1) consolidates the document checklist and issuing offices for care rating application on one page, (2) auto-generates a step-by-step progress timeline (D+0 application → D+14 assessment, etc.), (3) provides a comparison table of out-of-pocket costs by home care/facility/special cash benefit combinations after rating determination.

Target: Ages 45-60, employed, responsible for caring for parents aged 70-90, first-time or re-applying for long-term care rating

Revenue Model: Basic checklist and timeline Free. Post-rating benefit combination optimization Report (including out-of-pocket cost simulation) PDF at 3,000 KRW (~$2.25). Advertising fees from care facilities upon referral.

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

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 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 (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	/ 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 (57/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

12.0/15

Solo Buildability

7.0/10

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 [medium] Backend [medium] Data Pipeline [low]

Dashboard