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Retirement Pension Path-by-Path After-Tax Calculator

4.45

Derivation Chain

Step 1 Retirement Pension optimization
Step 2 After-tax proceeds comparison across DC/IRP conversion combinations
Step 3 Net-flow differences from combined fees and taxes by conversion timing

Problem

When office workers around age 55 at large companies need to decide whether to transfer their Retirement Pension from DC to IRP or take a lump sum, they must look up retirement income tax, pension income tax, and health insurance premium changes across different websites, spending half a day or more on comparisons. A wrong choice can mean a difference of millions of won (~thousands of USD), yet bank counters only recommend their own products.

Solution

Enter total retirement benefit, years of service, and expected withdrawal timing on the web to compare after-tax net proceeds across three paths — DC retention, IRP transfer, and lump-sum withdrawal — in a year-by-year table that aggregates retirement income tax, pension income tax, and health insurance premium changes. A 10-year cumulative net-flow graph including fee differences is also provided.

Target: Office workers aged 52–58 at large corporations or public enterprises, 1–3 years before retirement, enrolled in DC-type Retirement Pension
Revenue Model: Basic comparison free; detailed PDF Report (itemized fee and tax breakdown) at 5,000 KRW (~$3.75) Per Transaction. Future IRP referral commission possible.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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.

Market Validation (75/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
10.5/15
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.

Technical Requirements

Frontend [medium] Backend [medium] Data Pipeline [low]
Dashboard