B

Retirement Domino Simulator

3.85

Derivation Chain

Step 1 Post-retirement health insurance & National Pension simulation
→
Step 2 Modeling cascade effects of retirement timing changes
→
Step 3 Spouse & dependent qualification cascade loss scenarios

Problem

Shifting your retirement date by just one month can simultaneously trigger health insurance regional conversion, spouse's dependent status loss, gaps in children's insurance coverage during military service, and National Pension credit losses — yet no tool shows this cascade effect at a glance. Each agency's calculator covers only individual items, so retirees cannot see how moving retirement from March to April changes the entire family's annual insurance costs, commonly resulting in overpaying $1,500–$3,000 per year by missing the optimal retirement timing.

Solution

1) A retirement date slider that displays cascading changes to health insurance, National Pension, and employment insurance status for the retiree, spouse, and dependents on an interactive timeline. 2) Per-family-member status change alerts with automatic optimal retirement month recommendation. 3) PDF export of a side-by-side annual cost comparison table for each affected item.

Target: Ages 55–62 currently employed at large corporations or public institutions, with a stay-at-home spouse or adult children in graduate school or military service
Revenue Model: Basic simulation free; cascade analysis for 3+ family members ~$7.50/month Subscription; per-session referral fee for linked tax accountant or labor attorney consultations
Ecosystem Role: Infrastructure
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
5.0/5
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 (56%)

Tech Complexity
24.7/40
Data Availability
19.2/25
MVP Timeline
12.0/20
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 (76/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

Retirement cascade effect rule engine [high] Interactive timeline UI [medium] PDF report generator [low]
Dashboard