Senior Digital Readiness Diagnostic

3.25

Derivation Chain

Step 1 Digital exclusion issues among ages 40–60+

→

Step 2 Senior digital education market growth

→

Step 3 Student-level diagnostic & customized curriculum tool for education institutions

Problem

Lifelong learning centers and senior welfare centers providing Senior digital education (3–10 staff, 200–1,000 annual learners) face extreme variance in digital literacy levels among students (from smartphone basics to Excel proficiency). One-size-fits-all curricula result in dropout rates exceeding 40%. Pre-class level assessments consume 5 hours per instructor per week, and manually compiling results for class placement is highly inefficient.

Solution

A Senior-friendly UI that auto-diagnoses digital literacy levels in under 5 minutes, then recommends class placement and customized curricula based on results. (1) Touch-based Senior-friendly diagnostic test (supports both smartphone & PC), (2) Automatic 7-level digital literacy classification, (3) Auto-generated recommended curriculum + class placement proposal per level.

Target: Lifelong learning centers, welfare centers, and Senior centers operating Senior digital education programs (3–10 staff)

Revenue Model: SaaS Monthly Subscription at $37/month per institution (200 diagnostics/month), additional diagnostics at $0.15 Per Transaction. Eligible for Ministry of Education & local government subsidy linkage

Ecosystem Role: Education

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

2.0/5

R Realizability

5.0/5

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 (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	/ 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 (50/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

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

Frontend [medium] Backend [low] Data Pipeline [low]

Dashboard