B

Cashwalk Quiz Earnings Settlement Report

4.05

Derivation Chain

Step 1 Cashwalk answer search trend
Step 2 Difficulty for 50s reward app users in tracking actual earnings
Step 3 Lack of analysis on total earnings and time efficiency when using multiple reward apps

Problem

Many smartphone users in their 50s use 3-5 reward apps simultaneously (Cashwalk, Toss, Naver, etc.), but their actual earnings from each app are scattered and impossible to track. They spend 30-60 minutes daily on quizzes, step counts, and check-ins without knowing whether their monthly take-home is $2.25 or $22.50. In particular, they often fail to recognize hidden losses such as point-to-cash conversion rates, tax deductions, and expiration dates, leading to activities that pay below minimum wage per hour.

Solution

When you input the list of reward apps you use and your estimated monthly activity time, it automatically calculates estimated total monthly earnings, hourly return rate, and expected loss from point expiration based on an average earnings database per app, and provides a report. Key features: (1) earnings simulation based on average earnings DB of 20 reward apps, (2) ranking by efficiency relative to time investment, (3) alerts for hidden losses from point expiration and conversion rates. Differentiation: the first service to view 'all reward activities' as a portfolio rather than individual apps.

Target: People in their 50s-60s, using 3+ smartphone reward apps, with ample time after retirement or at home, interested in small side income.
Revenue Model: Basic report free. Premium monthly auto-tracking report + optimal app combination recommendation at $2.18 per month. Reward app affiliate referral fee (CPA).
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

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/ 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.

Market Validation (67/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
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.

Technical Requirements

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