B

Long-Term Care Cost Scenario Planner

3.50

Derivation Chain

Step 1 Parent care cost optimization
→
Step 2 Cost simulation by care grade
→
Step 3 Long-term cost comparison for home care vs. facility care transition timing

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

Adults in their mid-50s caring for parents in their 80s are currently using home-based care (3x/week visiting care + day care), but as their parents' cognitive function gradually declines, they consider transitioning to facility care. However, calculating the combined out-of-pocket costs, meal fees, additional caregiving charges, and long-term care insurance benefit limit changes for facility admission requires checking the National Health Insurance Service, individual facility websites, and district offices separately — and projecting cost changes 3–5 years out is nearly impossible.

Solution

Users enter their parent's current care grade, services in use, and approximate monthly income/assets on a web interface, and the system simulates monthly costs over 1–5 years across three scenarios: continuing home care, transitioning to facility care, or a hybrid approach. Each scenario breaks down out-of-pocket costs, long-term care insurance benefits, and non-covered items separately, with automatic recalculation when care grades change.

Target: Ages 48–58, caring for parents aged 70–90, dual-income or economically active, at the decision point of transitioning from home care to facility care
Revenue Model: Basic simulation (current grade basis): Free. Grade change scenarios + 5-year long-term projection + regional facility cost comparison Report: 7,000 won (~$5.25) Per Transaction. Monthly care cost tracking Subscription: 3,900 won (~$2.90)/month.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

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

Feasibility (65%)

Tech Complexity
24.0/40
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 (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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 [medium] Data Pipeline [medium]
Dashboard