A
Health Checkup Results Action Translator
3.75
Derivation Chain
Step 1
Interpreting Health Checkup results and managing follow-up care
→
Step 2
Mapping each finding to next actions (specialist visits/lifestyle changes)
Problem
Adults aged 50–65 receive annual national Health Checkup results with 20–30 metrics and findings labeled 'borderline,' 'suspected,' or 'abnormal,' but there's no connection to how urgent each finding is, which specialist to see, or what lifestyle changes to make immediately. As a result, over 60% of those flagged with abnormal findings never follow up with a doctor, allowing conditions to worsen.
Solution
Upload your Health Checkup results as a PDF or manually enter key values to have each item classified into 4 tiers: normal/borderline/caution/critical. Items are sorted by risk level and mapped to: (1) specialist departments to visit immediately, (2) items requiring follow-up testing within 3 months, and (3) specific lifestyle change action items. Borderline values also show year-over-year trend comparisons.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (68%)
Data Availability
18.3/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (58/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Frontend [low]
Backend [medium]
Data Pipeline [medium]