B

Export Voucher Agency Match Scorer

3.00

Derivation Chain

Step 1 Expansion of the export voucher program
→
Step 2 Difficulty for voucher recipients in selecting service agencies
→
Step 3 Performance and review-based agency matching service
→
Step 4 Automated agency performance verification tool

Problem

SMEs that receive export vouchers must choose the right partner from hundreds of KOTRA-designated service agencies (translation, design, marketing, etc.), but lack sufficient information to compare each agency's actual track record and quality. Roughly 15% of companies waste their voucher budget and miss deadlines due to poor agency selection, incurring opportunity costs of 5-20 million KRW (~$3,750-$15,000) per case.

Solution

A matching tool that (1) collects per-category performance data (completion count, completion rate) for export voucher service agencies, (2) aggregates real user reviews and ratings, and (3) calculates automated matching scores based on company needs (industry, language, region). Core: agency performance data + user review crawling + needs-based weighted matching algorithm.

Target: CEOs or trade team leads at SMEs receiving export vouchers, annual revenue 300M-5B KRW (~$225K-$3.75M)
Revenue Model: Basic search and comparison Free, detailed Report (in-depth comparison of 3 agencies) at 39,000 KRW (~$29) Per Transaction. Agency-side Premium profile listing at 99,000 KRW (~$74)/month.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
3.0/5
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 (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
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

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