About 30,000 instructors who teach senior smartphone classes at community centers, welfare centers, and telecom stores manually adjust the curriculum each time because students' device models, OS, and skill levels vary. Creating screen capture teaching materials for each device model takes 2-3 hours per session, and students forget what they learned at home, leading to a flood of follow-up calls, costing each instructor more than 5 hours per week in after-class support.
Solution
A SaaS that automatically generates customized curricula and device-specific screenshot teaching materials when pre-survey results on students' device models, OS, and skill levels are entered. (1) Automatic assembly of teaching materials based on actual screen screenshots for each device-OS combination, (2) automatic sending of review KakaoTalk messages after class (short step-by-step guidance messages), (3) progress tracking per student and report on weak areas.
Target: Instructors in charge of digital education at community centers and welfare centers, senior education teams at telecom customer centers, and freelance IT instructors targeting seniors.
Revenue Model: SaaS monthly subscription: 39,000 KRW (approx. $29.25) per instructor account; 30% discount for institutional group subscriptions of 5 or more accounts. Free: 2 teaching material creations per month. Premium: unlimited + automatic review message sending + progress reports.
Ecosystem Role: Education
MVP Estimate: 2_weeks
NUMR-V Scores
N Novelty
3.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20
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 (69/100)
Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
7.5/15
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.