B

Career Advisory Product Pricing Tool

3.85

Derivation Chain

Step 1 Career-based re-employment and Freelancer transition matching
→
Step 2 Converting 20-30 years of experience into consulting, teaching, and coaching products
→
Step 3 Hourly consulting rate benchmarking + product package design + platform-specific listing guides

Problem

When professionals around age 55 (in IT, manufacturing, finance, etc.) want to start freelance consulting after retirement, they have no benchmark for how much to charge per hour. Pricing structures differ across platforms like Kmong, Taling, and Class101, causing them to either get dragged into price wars or set prices too high with no demand. They also don't know how to package '30 years of manufacturing quality management experience' into product formats (one-time consultation, 4-session coaching, online courses).

Solution

Enter your job function, years of experience, industry, and certifications to receive a recommended hourly rate range based on comparable professionals' consulting rates (collected from Kmong, Taling, Soomgo, etc.). Automatically generates 3 product templates — 'one-time diagnostic session,' '4-session coaching package,' and 'small group workshop' — with platform-specific listing guides (pricing, title, and description formatting) for each.

Target: Ages 50-60, retiring professionals (IT, manufacturing, finance, HR), seeking Freelancer transition, limited platform experience
Revenue Model: Basic rate lookup Free. Custom product package design + platform listing text generation ~$7.50 per transaction. Monthly Subscription (rate updates + performance tracking) ~$3.70/month.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
5.0/5
V Validation
3.0/5
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 (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (54/100)

Competition
8.0/20
Market Demand
3.8/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
9.0/15
Solo Buildability
9.0/10
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 [medium]
Dashboard