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Product Management Strategy Question: Balancing job listing quantity and match quality for Glassdoor's platform
Image of author vinay

Vinay

Updated Jan 5, 2025

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For Glassdoor's job listing feature, should we emphasize quantity of postings or quality of matches between job seekers and employers?

Product Trade-Off Medium Member-only
Strategic Thinking Data Analysis Experimentation Recruitment Online Marketplaces SaaS
User Experience Product Strategy Growth Job Platforms Matching Algorithms

Introduction

The trade-off between quantity of job postings and quality of matches on Glassdoor's job listing feature presents a critical strategic decision. This scenario involves balancing the platform's growth with user satisfaction and engagement. I'll analyze this trade-off by examining its impact on various stakeholders, proposing metrics to measure success, and designing an experiment to validate our approach.

Analysis Approach

I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and objectives of this decision. Then, I'll walk you through my analysis framework, covering product understanding, hypothesis formation, metrics identification, experiment design, and ultimately, a recommendation with next steps.

Step 1

Clarifying Questions (3 minutes)

  • Based on Glassdoor's business model, I'm thinking revenue might primarily come from employer subscriptions and job postings. Could you confirm our main revenue streams and how they relate to job listings?

Why it matters: Helps prioritize quantity vs. quality based on revenue impact Expected answer: Employer subscriptions and job postings are primary revenue sources Impact on approach: Would influence whether to focus on increasing listings or improving match quality

  • Considering user behavior, I'm assuming job seekers value both quantity and quality of listings. Can you share any data on user engagement patterns related to job search volume versus application rates?

Why it matters: Informs which approach might lead to higher user satisfaction and retention Expected answer: Users browse many listings but apply to few; quality matters more for applications Impact on approach: Might lean towards improving match quality if application rate is a key metric

  • From a technical perspective, I'm curious about our current matching algorithm capabilities. How sophisticated is our current job-seeker matching technology?

Why it matters: Determines feasibility of improving match quality in the short term Expected answer: Moderate sophistication with room for improvement Impact on approach: Could influence timeline and resources needed for quality improvements

  • Regarding our product team's capacity, are we currently more focused on scaling our listing inventory or refining our matching algorithms?

Why it matters: Helps understand current resource allocation and potential trade-offs Expected answer: Balanced focus, with slightly more emphasis on scaling inventory Impact on approach: Might suggest a phased approach, starting with quantity then shifting to quality

  • In terms of market dynamics, how urgent is the need to address this trade-off? Are we seeing any competitive pressures or user feedback driving this decision?

Why it matters: Helps prioritize the initiative and determine the appropriate pace of implementation Expected answer: Moderate urgency due to increasing competition in the job search space Impact on approach: Could influence the aggressiveness of our testing and implementation strategy

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