B

Barrier-Free Screening Request Hub

3.15

Derivation Chain

Step 1 Expansion of barrier-free film screenings
→
Step 2 Barrier-free content production infrastructure
→
Step 3 Subtitle & audio description production SaaS
→
Step 4 Screening event administration automation

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

When local governments and welfare centers want to host barrier-free film screenings, they must manually handle 5-7 administrative steps: negotiating film copyrights, pre-registering disabled audience members, sourcing assistive devices (FM transmitters/receivers, braille guides), and filing performance reports to the Ministry of Culture. A single staff member spends 15-20 hours per screening, and approximately 30% of subsidy settlements are rejected due to missing documents.

Solution

Automatically generates step-by-step checklists for screening event workflows, and produces copyright agreement templates, audience pre-registration forms, and subsidy settlement reports with one click. Auto-generates performance reports formatted for Ministry of Culture and local government requirements, reducing settlement rejection rates to under 10%.

Target: Local government Culture & Sports Division officers, disability welfare center program coordinators (5-20 staff)
Revenue Model: SaaS Monthly Subscription $37/month per organization (~49,000 KRW), 20% discount for annual billing. Enterprise Plan for large municipalities (20+ screenings/year) at $112/month (~149,000 KRW)
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (73%)

Tech Complexity
32.0/40
Data Availability
20.6/25
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 (56/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
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

Frontend [medium] Backend [low]
Dashboard