B

Health Checkup Family History Mapper

3.00

Derivation Chain

Step 1 Health Checkup result longitudinal interpretation
→
Step 2 Checkup metric trend analysis
→
Step 3 Re-evaluating personal risk levels in family history context

Problem

When people in their 50s receive annual Health Checkups, even if blood sugar, blood pressure, and cholesterol levels fall within 'normal range,' the risk profile changes entirely if parents had diabetes or cardiovascular disease. However, checkup results never reflect family history context, and the 3-5 minute doctor consultation leaves no time for comprehensive family history discussion. Cross-analyzing parental and sibling disease history with personal metrics could provide early 10-year onset risk warnings, but no such tool exists.

Solution

Users enter family disease history for parents and siblings (diabetes/hypertension/cancer/cardiovascular, etc.) and register their own checkup results by year. The system highlights items that are 'normal by general standards but in the caution zone considering your family history.' It recommends additional screening tests for early detection of related conditions and auto-generates a question list for the next doctor visit.

Target: Ages 48-58, individuals with parental history of chronic conditions (diabetes, hypertension, cancer), annual Health Checkup recipients
Revenue Model: Free basic family history mapping; annual comprehensive family history risk Report PDF at $7.50, includes auto-generated doctor question list
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
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.
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
19.4/25
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 (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
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