B

University Merger Stakeholder Sentiment Analyzer

2.65

Derivation Chain

Step 1 Kangwon National University and Gangneung-Wonju National University merger controversy
→
Step 2 Institutions driving university mergers and restructuring
→
Step 3 Merger process public opinion monitoring tool

Problem

University administration and Ministry of Education officials driving university restructuring spend 5–8 hours per week manually monitoring merger-related sentiment across faculty councils, student associations, alumni groups, and regional media. Failure to detect opposition sentiment early frequently delays merger timelines by 6 months to 1 year.

Solution

Real-time crawling of news, social media, and online communities based on university names and merger keywords, combined with sentiment analysis (for/against/neutral) dashboard and early-warning issue alerts — enabling decision-makers to track public opinion in real time and formulate response strategies.

Target: Planning and External Affairs offices at approximately 190 four-year universities nationwide, Ministry of Education university policy division officials
Revenue Model: B2B SaaS Monthly Subscription at ~$217/university (~290,000 KRW), 2 months free for annual contracts, Enterprise pricing for Ministry of Education dashboard.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
2.0/5
M Market
2.0/5
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 (71%)

Tech Complexity
29.3/40
Data Availability
21.2/25
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 (51/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
5.0/10
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] AI/ML [medium] Frontend [low]
Dashboard