A

Local Government Official Personal Branding Coach

3.70

Derivation Chain

Step 1 Local revitalization public official trend
→
Step 2 Support for public official SNS activities
→
Step 3 Education platform for building public official personal brands

Problem

After Kim Seon-tae (Chungju Man) resigned, local governments nationwide have been ordered to discover a 'second Chungju Man,' but most officials (administrative grades 6-9) lack SNS content planning, filming, and editing skills, spending 2 to 5 million KRW (~$1,500 to $3,750) per project on external agencies yet still getting fewer than 1,000 views. There is also the risk of workplace bullying and inter-departmental conflict within the public organization, so safe content guidelines are needed.

Solution

An online coaching platform offering SNS content planning templates exclusively for officials (short-form, card news, reels), AI-based script proofreading (automatic filtering of expressions violating the Public Official Ethics Act), and peer review features. Includes bi-monthly live workshops and mentoring matching with successful officials.

Target: Administrative officials in cities, counties, and districts with populations of 50,000 to 300,000 (Grades 7-9, ages 25-40)
Revenue Model: SaaS monthly subscription: 39,000 KRW (~$29) per individual, local government group subscription (10+ people) at 29,000 KRW (~$22) per person. Additional live workshops: 50,000 KRW (~$38) per session.
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

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 (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

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