B

Fallback Auth UX Test Kit

3.05

Derivation Chain

Step 1 Denmark MitID extended outage incident
→
Step 2 Need for digital ID single-point-of-failure response
→
Step 3 Growing adoption of fallback authentication paths
→
Step 4 Fallback authentication UX quality verification service

Problem

Even when fintech and E-commerce services build fallback authentication paths for outages, 40–60% of users fail to find alternative authentication methods during actual incidents and abandon the flow. Fallback UX is difficult to test under real outage conditions, and A/B testing tools are not specialized for authentication flows, leading to inaccurate conversion rate measurements.

Solution

Simulates primary authentication outages to automatically test fallback authentication flow UX. Measures user conversion rates, drop-off points, and completion times, and provides improvement reports benchmarked against industry standards. Generates Playwright-based automated test scripts.

Target: Fintech and E-commerce product managers, UX designers (2–5 years experience)
Revenue Model: $37.50 Per Transaction (~5만원, includes 10 scenarios), monthly recurring test package at $90/month (~12만원, weekly automated execution + Report)
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
5.0/5
U Urgency
2.0/5
M Market
2.0/5
R Realizability
4.0/5
V Validation
2.0/5
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.
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/ 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 (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/ 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

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