S

Health Checkup Numbers Life Coach

4.05

Derivation Chain

Step 1 Health Checkup result interpretation & tracking
→
Step 2 Year-over-year value change tracking
→
Step 3 Connecting value changes to specific lifestyle behavioral prescriptions

Problem

Working professionals aged 45–60 receive annual national Health Checkups but don't understand what changes like 'fasting glucose 105→112' actually mean or what to change. Doctor consultations last 3 minutes and yield only vague advice like 'adjust your diet.' As a result, patients miss the 2–3 year golden window between borderline numbers and disease onset. Once diabetes or hypertension develops, ₩100,000–300,000/month (~$75–225) in lifetime Medical expenses follow.

Solution

Upload a Health Checkup results PDF; OCR auto-extracts values and displays year-over-year trend graphs. For each change, the system provides specific, actionable behavioral prescriptions — e.g., 'Fasting glucose up 7% → walk 30 minutes 3x/week after dinner, switch white rice to multigrain.' A 3-month reminder sets target numbers before the next checkup.

Target: Working professionals aged 45–60 with 1–2 borderline values (fasting glucose, blood pressure, cholesterol), not yet on medication, motivated to manage health but lacking specific methods
Revenue Model: Annual single checkup result analysis: Free. Quarterly tracking Report + behavioral prescriptions Subscription: ₩3,900/month (~$3). Health food & fitness product affiliate commission
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
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 (74%)

Tech Complexity
29.3/40
Data Availability
24.4/25
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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
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

AI/ML [medium] Frontend [medium] Backend [low]
Dashboard