A

Long-Term Care Grade Pre-Assessment Coach

4.25

Derivation Chain

Step 1 Parent long-term care grade and care service matching
→
Step 2 Unable to predict expected care grade before application

Problem

When adults aged 45-55 try to apply for a long-term care grade for their parents (aged 70-80), they cannot predict which grade their parent qualifies for because they don't understand the 52-item assessment criteria. If the application is rejected, they must wait 6 months to reapply, and with a first-application rejection rate exceeding 30%, care gaps of half a year are common.

Solution

Provides a self-check questionnaire that converts the National Health Insurance Service's 52 assessment items into everyday language, then calculates the expected care grade and qualification score based on responses. For each item, the tool offers guidance on how to accurately describe conditions during the assessor interview, along with a comparison table of available services and co-payment amounts by grade.

Target: Ages 45-55, with 1-2 parents aged 70+, parents beginning to need daily living assistance, no prior long-term care application experience
Revenue Model: Mock grade assessment free, detailed assessment preparation guide + service comparison Report PDF at ~$3.75, referral fee for grade re-application consulting connections
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (63%)

Tech Complexity
24.0/40
Data Availability
18.8/25
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 (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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 [medium]
Dashboard