K-Music Awards Fan Vote Analytics Dashboard

3.50

Derivation Chain

Step 1 Korean Music Awards ceremony online streaming

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Step 2 Surge in K-POP fandom activity during awards season

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Step 3 Data dashboard for fandom managers to optimize voting strategy and fan mobilization

Problem

During K-POP awards season (4-6 major ceremonies per year), fan club managers (fandom managers) manually coordinate fan mobilization, collect voting proof submissions, and track rival fandom trends until voting deadlines. They spend 20-40 hours per awards show manually gathering data across 3-5 platforms (Twitter, fan cafes, Discord, Instagram), making real-time strategy adjustments impossible.

Solution

Provides a real-time dashboard aggregating major awards show voting status (based on public data), social media buzz volume, and fan cafe activity levels. Includes competitive fandom voting gap analysis, optimal mobilization time-slot recommendations, and automated voting proof collection via image OCR.

Target: Operations staff (fandom managers) of K-POP fan clubs with 10,000+ followers, aged 20-35

Revenue Model: Awards season package at $74 per ceremony (tracking 1 artist), Annual Subscription at $29/month. Group discount of 30% for fan clubs with 10+ members

Ecosystem Role: Supplier

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

3.0/5

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity

29.3/40

Data Availability

23.1/25

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 (52/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

9.0/15

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.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

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

Dashboard