B
Public Sector Gen-Z Recruitment Branding Kit
2.50
Derivation Chain
Step 1
Improving mandatory youth employment compliance rates
→
Step 2
Intensifying competition among public institutions to attract young talent
→
Step 3
Recruitment branding content creation tools
→
Step 4
Auto-generating recruitment content targeting Gen-Z
Problem
HR and communications officers at non-capital-region public institutions and state-owned enterprises that must meet mandatory youth employment quotas want to create recruitment branding content such as Instagram card news and YouTube Shorts to attract Gen-Z applicants, but outsourcing costs $150–375 per piece and they lack in-house production capability, leaving them stuck with text-only job postings.
Solution
A SaaS that auto-generates Instagram card news, YouTube Shorts scripts, and recruitment landing pages in a Gen-Z tone and style when users upload their organization's introductory text and photos. Includes employee interview templates and benefits-highlight infographic templates, with output optimized for each channel's dimensions.
NUMR-V Scores
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 (69%)
Data Availability
19.4/25
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 (53/100)
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
AI/ML [medium]
Frontend [medium]
Backend [low]