Downsizing Move Total Cost Planner

3.55

Derivation Chain

Step 1 Real Estate downsizing and relocation decision support

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Step 2 Missing cost items in downsizing relocations

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Step 3 Total cost visualization including capital gains tax, moving costs, remodeling, and lifestyle infrastructure changes

Problem

When people in their 50s–60s want to downsize after children move out (e.g., from a 112㎡ to 79㎡ apartment), they typically only calculate capital gains tax before deciding. In reality, brokerage fees, moving costs, interior renovation, acquisition tax, and lifestyle infrastructure changes (commuting costs, healthcare accessibility) add $15,000–$37,500 (~20–50M KRW) more than expected. There is no tool that totals these costs upfront, so homeowners only realize 'the net savings are much less than expected' after the move.

Solution

Users enter their current address and candidate relocation addresses. The tool itemizes: (1) capital gains tax, (2) acquisition tax, (3) brokerage fees, (4) moving costs, (5) estimated interior/remodeling costs, and (6) monthly living cost differences (transportation, healthcare, amenities) — summarizing the 'actual net asset change after relocation' on a single page. Side-by-side comparison of 2–3 candidate locations is supported.

Target: Ages 55–65, children have moved out, currently owning 99㎡+ apartments, considering downsizing or relocating to suburban/rural areas

Revenue Model: Free single comparison. 3+ candidate comparisons + detailed PDF report at $3.75 per transaction (~5,000 KRW). Moving company and interior contractor matching commissions.

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

3.0/5

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 (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	/ 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 (57/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

8.0/10

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 [medium] Data Pipeline [low]

Dashboard