S

FairShare: Sibling Eldercare Cost Splitter

4.35

Derivation Chain

Step 1 Dual burden planning: parent caregiving + personal retirement
→
Step 2 Care cost sharing is the core source of sibling conflict
→
Step 3 Auto-calculate fair share ratios based on income, distance, and caregiving hours

Problem

When 3-4 siblings in their 50s try to split caregiving costs for parents in their 80s, there's no objective standard for 'who pays how much,' causing emotional conflicts. No tool exists that comprehensively factors in income gaps, distance from parents, time invested in direct caregiving, and past financial support history. Consulting a lawyer feels excessive, and family discussions get derailed by emotions, making rational agreement nearly impossible.

Solution

On a web app, siblings enter the number of family members, each person's income bracket (range selection instead of exact amounts), distance from parents' residence, and monthly hours of direct caregiving. The tool auto-calculates a 'fair share ratio' using weighted factors and presents 3 allocation scenarios (equal split, income-proportional, and time-value-adjusted) for comparison. The agreed result is documented and exported as a PDF.

Target: Ages 48-58, families with 2+ siblings needing to negotiate eldercare cost sharing for parents in their 80s
Revenue Model: Basic 3-member family simulation free; 4+ members + agreement PDF generation at $2.25 per transaction; auto-recalculation alerts every 6 months via Monthly Subscription at $2.15/mo
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
5.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
5.0/5
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 (63%)

Tech Complexity
24.0/40
Data Availability
19.4/25
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 (54/100)

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
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]
Dashboard