AI Anxiety Employee Pulse Dashboard

2.50

Derivation Chain

Step 1 AI Will Collapse Everything by 2028 — Wall Street Research Forecast

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Step 2 Employee AI Anxiety Management Service

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Step 3 Real-time Employee AI Anxiety Measurement + Automated Response Infrastructure

Problem

Every time AI replacement news floods the media, HR teams at companies with 50–200 employees observe that employee anxiety leads to productivity drops (averaging 15–20% decline) and rising turnover, yet they lack tools to quantitatively measure employee psychological state and can only respond reactively (post-resignation exit interviews).

Solution

A SaaS that measures employees' AI-related anxiety index through anonymous pulse surveys (weekly, under 3 minutes), visualizes anxiety trends by department and job level on a dashboard, and automatically sends tailored response content (FAQs, training program links, 1:1 counseling booking) to groups whose anxiety index exceeds a threshold.

Target: HR teams and organizational culture teams at SMEs with 50–200 employees, People teams at Startups

Revenue Model: SaaS Monthly Subscription at 1,900 KRW (~$1.40) per person, minimum 30-person contract. 20% discount for Annual Subscription.

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

3.0/5

M Market

2.0/5

R Realizability

3.0/5

V Validation

2.0/5

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 (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	/ 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 (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	/ 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