Post-Retirement National Health Checkup Guide

3.60

Derivation Chain

Step 1 PolicyPlus health policies

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Step 2 Post-retirement Health Checkup system changes

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Step 3 Confusion over screening items, intervals, and costs when transitioning from company to national checkups

Problem

Retirees aged 55-60 who previously received comprehensive company health checkups (worth 500,000-1,000,000 KRW (~$375-$750)) can no longer access them. They transition to the National Health Insurance Corporation's general checkups, but almost no one accurately knows their screening eligibility year (even/odd year), additional screening items (cancer screening types and intervals), or out-of-pocket costs. This leads to a polarized outcome: skipping checkups entirely for 1-2 years after retirement, or paying out of pocket for expensive comprehensive exams.

Solution

Enter date of birth, gender, and retirement date to get a year-by-year calendar of free/low-cost national screenings available over the next 5 years. Includes facility information, booking methods, and additional costs for each item. Recommends a 'Self-Checkup Package' to supplement items lost from company checkups (ophthalmology, dental, bone density, etc.) at minimal cost.

Target: Ages 54-62, retirees or soon-to-retire individuals who received annual company checkups but now face a screening gap, health-conscious demographic

Revenue Model: Basic calendar free. Personalized self-checkup package recommendation Report at 2,000 KRW (~$1.50). Screening center booking referral commission.

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

5.0/5

V Validation

3.0/5

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 (83%)

Tech Complexity

40.0/40

Data Availability

23.1/25

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 (54/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

8.0/10

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 [low] Backend [low]

Dashboard