A

Long-Term Care Grade Document Assembly Coach

4.20

Derivation Chain

Step 1 Parent care administration automation
→
Step 2 The problem of complex document preparation for long-term care grade applications
→
Step 3 Connecting to doctor's opinion letter and assessment-day response coaching

Problem

Working professionals aged 45-55 applying for their parents' (aged 70-80) long-term care grade must prepare documents (doctor's opinion letter, long-term care recognition application, functional status evidence) from three separate agencies: the National Health Insurance Service, their primary physician, and the local community center. A frequent issue is that parents answer 'I'm fine' during the in-person assessment, resulting in a lower-than-actual grade. Without pre-assessment coaching information, families waste 3-6 months on reapplication.

Solution

On a web platform, users input their parent's current status (mobility, cognition, daily living activities) via a checklist, which auto-generates the expected care grade and required document list. It provides situation-specific tips for assessment day — including a 'guide for accurately communicating actual conditions' — and generates a key-items memo to hand to the primary physician when requesting the doctor's opinion letter.

Target: Working professionals aged 45-55, currently caring for parents aged 70-80, needing first-time long-term care grade application or grade reassessment
Revenue Model: Basic checklist + document list is Free. Assessment preparation coaching guide PDF at 9,900 KRW (~$7.50). Grade reassessment strategy Report at 19,900 KRW (~$15).
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
3.0/5
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 (68%)

Tech Complexity
29.3/40
Data Availability
18.3/25
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 (61/100)

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
8.0/10
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 [low]
Dashboard