B

Menopause Multi-Symptom Tracker

3.80

Derivation Chain

Step 1 Health Checkup follow-up management
→
Step 2 Menopausal symptoms treated in isolation across separate departments
→
Step 3 Integrated tracking of multi-symptom patterns to generate summary reports for doctors

Problem

A 52-year-old woman experiencing hot flashes, insomnia, joint pain, and depression simultaneously finds that her OB/GYN only addresses hormones, her orthopedist only treats joints, and her psychiatrist only handles depression. She visits three separate departments without knowing whether her prescriptions interact with each other, and has no basis to determine whether her symptoms are interconnected menopausal symptoms or separate conditions. Without symptom tracking, she struggles to explain to doctors 'when it started and how it progressed.'

Solution

By checking daily symptoms (10 items including hot flashes, insomnia, joint pain, depression, fatigue), the service will: (1) visualize correlations between symptoms (e.g., whether insomnia worsens on days with severe hot flashes), (2) generate weekly/monthly summary reports to show doctors during visits, (3) provide key drug interaction warnings when multiple prescriptions from different departments are entered.

Target: Women aged 48–58 experiencing two or more menopausal symptoms simultaneously, visiting two or more medical departments concurrently
Revenue Model: Basic symptom tracking and visualization free. Doctor-ready clinical report PDF generation at 3,900 KRW (~$2.90) per month. Referral commission from menopause specialty clinics and health supplement partnerships.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
3.0/5
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 (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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
7.5/15
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

Frontend [medium] Backend [medium] Data Pipeline [low]
Dashboard