B
Elderly Fall Risk Checker
3.50
Derivation Chain
Step 1
Menopause and chronic disease combined management
→
Step 2
Increased dizziness from medication side effects during chronic disease management
→
Step 3
No tool to proactively prevent the dizziness → fall → fracture → bed rest chain
Problem
Adult children in their 50s worry about fall risks for their parents (75+), but risk factors span Medical, environmental, and medication domains — orthostatic hypotension from blood pressure medication, fracture risk from osteoporosis, and slippery bathroom floors or door thresholds at home. A post-fall hip fracture can cost $3,750-$7,500 in surgery fees plus 3-6 months of bed rest.
Solution
Users enter their parent's medication list, chronic conditions, living environment details (floor level, thresholds, bathroom grab bars), and recent dizziness frequency on a web interface. The system calculates a fall risk score (High/Medium/Low) and provides prioritized improvement actions per risk factor: medication timing adjustments, a home environment improvement checklist, and links to balance exercise videos.
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 (73%)
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 (55/100)
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 [low]