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University Merger Academic Policy Integration Tool

3.00

Derivation Chain

Step 1 National university mergers in progress (Gangwon, Jeonnam, Gyeongnam provinces)
→
Step 2 Academic system integration operations for merged universities
→
Step 3 Academic regulation gap analysis + automated merger roadmap generation tool

Problem

When national universities merge, the academic regulations across 2-3 campuses (graduation credits, major requirements, grading standards, course registration rules) are all different. Teams of 3-5 academic affairs staff spend 6-12 months manually comparing hundreds of pages of regulations, and missed regulatory conflicts result in disadvantages for enrolled students.

Solution

Upload academic regulation PDFs/documents from each campus, and the AI automatically extracts differences by clause, suggesting integration options for each conflict (keep Option A / keep Option B / compromise). It auto-generates a merger roadmap Gantt chart and a student impact analysis Report.

Target: Academic affairs staff at national universities undergoing mergers, and university restructuring consulting firms (5-20 employees)
Revenue Model: Project-based billing at $3,750 (500만원) per engagement (one merged university), follow-up maintenance at $900/year (120만원)
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
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 (74%)

Tech Complexity
29.3/40
Data Availability
24.4/25
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
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
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

AI/ML [medium] Backend [low] Frontend [medium]
Dashboard