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

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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.
N=.15 U=.20 M=.15 R=.30 V=.20

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]
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