B

Checkup Alert Follow-Up Coach

3.00

Derivation Chain

Step 1 Post-Health Checkup follow-up management
→
Step 2 Lack of actionable guidance after borderline results
→
Step 3 Inability to sustain lifestyle changes between retests leads to worsening metrics

Problem

When workers aged 52-60 receive borderline results from their national Health Checkup—such as fasting blood sugar in the 'pre-diabetic' range (100-125 mg/dL) or blood pressure in the 'elevated' range (130-139/85-89)—the results sheet only says 'lifestyle improvement recommended' with no specifics on what to change, by how much, when to retest, or which specialist to visit. Even at follow-up appointments, they're told 'come back in 6 months' with no way to track how dietary, exercise, or sleep changes affect their numbers over that period. The result: borderline conditions are neglected until they progress to diabetes or hypertension.

Solution

A web service where (1) users upload their checkup results PDF, which is auto-parsed to visualize each metric as 'normal/borderline/abnormal'; (2) for each borderline item, a '90-Day Action Plan' is generated (retest timing, recommended specialist, dietary and exercise guidelines); and (3) when past checkup results are also uploaded, year-over-year trend lines for key metrics are plotted to enable early detection of worsening trajectories.

Target: Workers and Self-employed aged 50-60 who undergo annual national Health Checkups, have at least one 'borderline' result, and have not yet started medication
Revenue Model: Year-over-year comparison and action plans are free. 5+ year trend analysis with personalized baseline Report PDF at ~$2.25 per transaction. Future affiliate potential with health supplements and exercise programs.
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 (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
9.0/15
Solo Buildability
8.0/10
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