B

Care System Timeline Builder

3.80

Derivation Chain

Step 1 Parent care cost & program navigation
→
Step 2 Identifying transition points as parent's condition changes
→
Step 3 Auto-mapping available services & costs by health status

Problem

Adults aged 45–55 caring for parents aged 75–85 face a maze of government care programs (Emergency Care SOS, Senior Care Services, Long-Term Care Insurance, Nursing Facility Admission) that change depending on the parent's health stage (independent living → partial assistance → care grade application → facility admission). They don't know these transition points, so when a parent suddenly falls or shows cognitive decline, they scramble to find information. Consolidating fragmented information across the Ministry of Health, National Health Insurance Service, and local governments takes 3–5 days.

Solution

Enter the parent's current status (mobility, cognitive level, chronic conditions) to visualize a timeline of currently available programs and future programs to transition to as conditions change. Each program includes the application agency, required documents, estimated costs, and out-of-pocket amounts. Set alerts for 'When your parent reaches this condition, apply for this program.'

Target: Ages 45–55, currently managing health of parents aged 70–85, not yet applied for long-term care but anticipating future need
Revenue Model: Basic timeline free. Customized care plan PDF (with monthly cost projections) $6 (~8,000 KRW). Referral fees for connecting with care specialists.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
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/ 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 (57/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
9.0/15
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

Frontend [medium] Backend [low]
Dashboard