B

Family History-Based Checkup Item Designer

3.60

Derivation Chain

Step 1 Health Checkup result interpretation & tracking
→
Step 2 Checkup metric trend analysis
→
Step 3 Unable to select customized additional screening items linked to family history

Problem

When people in their 50s get comprehensive Health Checkups, they must choose optional items (colonoscopy, cardiac CT, thyroid ultrasound, genetic testing, etc.), but cannot get personalized recommendations based on their parents' and siblings' disease history (family history). Hospital consultants push the most expensive packages, and individuals either pay an extra $225–$375 'just in case' for unnecessary items, or conversely miss items they actually need.

Solution

Users simply check their parents' and siblings' major diseases (cancer, cardiovascular, diabetes, dementia, etc.) and enter their recent checkup results. The system then recommends 'with this family history, add this test / skip this test' based on Korean Society of Preventive Medicine guidelines, complete with supporting evidence. Average costs and recommended screening intervals are also provided for each recommended item.

Target: Ages 45–60, annual comprehensive Health Checkup recipients, at least one parent with a history of cancer, cardiovascular disease, diabetes, or other major conditions
Revenue Model: Basic recommendations free (up to 3 family members), detailed Report with linked research papers $5.90, referral commission from screening center bookings
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
4.0/5
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 (74%)

Tech Complexity
32.0/40
Data Availability
22.5/25
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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
9.0/15
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 [low] Backend [medium]
Dashboard