A

AI-Era Work Collaboration Scenario Designer

4.50

Derivation Chain

Step 1 Expansion of OpenAI and Microsoft AI partnerships
→
Step 2 AI replacement anxiety among office workers in their 50s
→
Step 3 Workshop on redesigning work for AI collaboration, not replacement

Problem

Office workers in their 50s feel vague anxiety about being replaced by AI tools like ChatGPT and Copilot, but they don't know how to use AI in their specific tasks (report writing, data organization, customer service, project management, etc.). News about 'my job disappearing' is everywhere, but there is no service that specifically tells them 'which parts of my work to delegate to AI and which parts to focus on.' In-house AI training focuses on tool usage and does not cover work redesign.

Solution

Enter your job function (HR, finance, sales, marketing, general affairs, etc.) and five key tasks, and it visualizes each task by breaking it down into 'AI-delegable parts' and 'human-focus parts.' It provides recommended AI tools, usage scenarios, and expected time savings for each task, and shows before/after scenarios of 'how this task changes when collaborating with AI.'

Target: Ages 48-58, office workers (manager level) at large and mid-sized companies, planning to adopt AI tools but unfamiliar with usage, experiencing replacement anxiety.
Revenue Model: One free diagnostic. Detailed report PDF for 9,900 KRW (approx. $7.40). Premium at 14,900 KRW (approx. $11.20) per month (quarterly updates, new AI tool recommendations, learning roadmap). Corporate B2B workshop at 500,000 KRW (approx. $375) per session.
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
5.0/5
R Realizability
5.0/5
V Validation
5.0/5
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 (78%)

Tech Complexity
34.7/40
Data Availability
23.3/25
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 (62/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
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 [low] Backend [medium] Data Pipeline [low]
Dashboard