Signal Sources (v8 Triple Source)

Trigger

정의선

Market

OpenAI introduces ChatGPT Business Premium seats

Workflow

inferred: 제조 협력사 교육 담당자 — 매주 AI 좌석 현황과 교육 과제 및 현업 적용 증빙을 엑셀로 취합

Problem

Training managers at manufacturing suppliers track AI seat assignments, attendance, practical exercises, and workplace adoption cases across multiple spreadsheets. Each week, they must recompile user lists and usage evidence to prepare adoption reports for executives or prime contractors.

Solution

The workspace connects ChatGPT administrator exports, training-attendance CSV files, and Google Sheets assignment trackers to create a single ledger of training, usage, and outcome evidence for each seat. With repeated use, company-specific job structures and evidence formats become embedded in the workflow, reducing preparation time for subsequent training cohorts.

Target: AI 좌석 20~300개를 운영하는 제조·물류 협력사 — 교육 담당자, AX PM

Revenue Model: KRW 50,000 per month, including 50 users, plus KRW 500 per additional user per month

Ecosystem Role: -

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

5.0/5

V Validation

5.0/5

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.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (81%)

Tech Complexity

40.0/40

Data Availability

21.2/25

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 (80/100)

Competition

10.0/20

Market Demand

20.0/20

Timing

18.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

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.