Should Job&talent prioritize increasing the number of job listings on its platform or focus on improving the quality and relevance of existing listings?

Introduction

The trade-off between increasing the number of job listings on Job&talent's platform versus improving the quality and relevance of existing listings is a critical decision that could significantly impact our user experience, business metrics, and long-term growth. This scenario touches on the core value proposition of our platform and requires careful consideration of various stakeholders, including job seekers, employers, and our own business objectives.

In my analysis, I'll explore the implications of each option, considering short-term gains versus long-term sustainability, user satisfaction, and platform health. I'll outline a structured approach to evaluate this trade-off, design experiments to validate our hypotheses, and provide a data-driven recommendation for moving forward.

Step 1

Clarifying Questions (3 minutes)

• Business Context: I'm thinking our revenue model might influence this decision. Could you clarify if we primarily generate revenue from job postings, successful placements, or a combination?

Why it matters: Helps align our strategy with the core business model Expected answer: Revenue from successful placements Impact on approach: Would lean towards quality improvement if placement-based

• User Impact: Based on user feedback, I'm assuming job seekers are experiencing challenges with search relevance. Can you share any recent NPS or satisfaction data for both job seekers and employers?

Why it matters: Identifies which user segment is most affected by current limitations Expected answer: Job seeker satisfaction has been declining Impact on approach: Would prioritize improving relevance for job seekers

• Technical Feasibility: Considering our current tech stack, I'm curious about our capabilities for improving listing quality. Do we have machine learning models in place for job matching or content analysis?

Why it matters: Determines the feasibility and timeline for quality improvements Expected answer: Basic ML models in place, but room for improvement Impact on approach: Would influence the timeline and resources needed for quality enhancements

• Resource Allocation: Given the potential scope of this project, I'm wondering about our team's capacity. Can you provide an overview of our current product and engineering resources available for this initiative?

Why it matters: Helps determine the feasibility of pursuing both options simultaneously Expected answer: Limited resources, need to prioritize one direction Impact on approach: Would necessitate a more focused strategy on either quantity or quality

• Market Position: Considering our competitive landscape, I'm curious about our current market share. How do we compare to other job platforms in terms of listing volume and user base?

Why it matters: Informs whether we need to prioritize growth or differentiation Expected answer: Strong user base, but trailing in listing volume Impact on approach: Might lean towards increasing listings to remain competitive