Gift & Inheritance Family Planning Board

3.10

Derivation Chain

Step 1 Real Estate/inheritance decision simulation

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Step 2 Tax scenario comparison

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Step 3 Per-family-member scenario impact visualization and consensus tool

Problem

Multi-property owners aged 55-65 deciding when and how to transfer assets to 2-3 children face varying acquisition tax, gift tax, and capital gains tax outcomes for each scenario (advance gifting vs. inheritance, split gifting vs. lump sum, cash vs. real estate) per child. There is no way to compare these from a whole-family perspective. Tax advisor consultations are conducted per individual, failing to find the family-wide optimum, and perceived unfairness among family members creates conflict.

Solution

Enter property market values, number of children, and each child's income level to auto-generate 8 gift/inheritance/hybrid scenarios and visualize per-family-member taxes, acquisition costs, and net transfer amounts in a matrix. Proposes optimal plans along two axes — 'equitable distribution' and 'tax minimization' — and provides a shared board with individual URLs so each family member can review their personal impact.

Target: Ages 55-65, owning 2-3 apartments, with 2-3 adult children, planning asset transfer within the next 10 years

Revenue Model: 2-scenario comparison free. Full scenario report + family sharing board: 19,900 won (~$15) Per Transaction. Tax advisor referral service.

Ecosystem Role: Infrastructure

MVP Estimate: 1_month

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

2.0/5

V Validation

4.0/5

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 (57%)

Tech Complexity

24.7/40

Data Availability

20.6/25

MVP Timeline

12.0/20

API Bonus

0.0/15

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)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

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 [medium] Backend [high] Data Pipeline [low]

Dashboard