How can SEEK improve its job search filters to provide more personalized results for candidates?

Introduction

To improve SEEK's job search filters for more personalized results, we need to understand our users' needs, pain points, and behaviors. I'll analyze the current system, identify key user segments, and propose targeted solutions to enhance the job search experience. Let's dive in.

Step 1

Clarifying Questions

• Looking at SEEK's market position, I'm thinking it's likely a mature product with a large user base. Could you confirm where SEEK stands in terms of market share and user growth?

Why it matters: Determines if we focus on user acquisition or retention strategies. Expected answer: Market leader with slowing growth. Impact on approach: Would prioritize user retention and engagement over acquisition features.

• Considering the evolving job market, I'm curious about the current user behavior trends. What are the most common filter combinations or search patterns you're seeing from job seekers?

Why it matters: Helps identify which filters are most valuable to users. Expected answer: Location, salary range, and job type are most used. Impact on approach: Would focus on enhancing these popular filters and their combinations.

• Given the importance of data in personalization, I'm wondering about SEEK's current data collection and usage policies. What types of user data are we currently leveraging for personalization, and are there any limitations we need to consider?

Why it matters: Determines the scope and potential of personalization features. Expected answer: Basic profile data and search history, with some privacy constraints. Impact on approach: Would explore ways to ethically expand data usage while respecting privacy.

• Thinking about the competitive landscape, I'm curious about user feedback on SEEK's filters compared to other job platforms. What are the main areas where users feel our filters fall short?

Why it matters: Identifies key improvement areas and competitive advantages. Expected answer: Users find it difficult to filter for remote work options and specific skills. Impact on approach: Would prioritize solutions addressing these specific pain points.