Neighborhood Group Dues Transparent Ledger

3.50

Derivation Chain

Step 1 Increasing social activity among adults in their 50s

→

Step 2 Active participation in clubs and social groups

→

Step 3 Conflict and distrust caused by opaque dues management

Problem

In hiking clubs, book clubs, golf groups, and other social gatherings popular among adults in their 50s-60s, the treasurer manages dues using Excel spreadsheets or handwritten notes. Members can't easily verify payment status, expense details, or remaining balance, breeding suspicion and conflict over 'where did the money go.' The treasurer role is burdensome, and even when receipt photos are shared via KakaoTalk (Korea's dominant messaging app), older records get buried and become impossible to track. Many groups have annual dues of $225-$750, and lack of transparency frequently causes groups to dissolve.

Solution

The group leader creates a group on the web, and members join via a KakaoTalk shared link. The treasurer checks off payments with a 'deposit confirmed' button and registers expenses with receipt photo attachments. All members can view deposits, expenses, and balance in real-time, and an automatic monthly settlement summary is sent via KakaoTalk. When the treasurer changes, the ledger is automatically transferred.

Target: Adults aged 50-65 who participate in regular monthly social groups, currently serving as treasurer or dissatisfied with dues transparency

Revenue Model: Free for groups of 3 or fewer; $1.40/month (paid by treasurer) for groups of 4+; annual settlement Report PDF at $2.25 Per Transaction

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

4.0/5

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 (74%)

Tech Complexity

34.7/40

Data Availability

19.4/25

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

9.0/15

Pick-Axe Fit

10.5/15

Solo Buildability

9.0/10

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 [low] Infrastructure [low]

Dashboard