How can Snagajob improve its job search filters to help users find more relevant positions faster?

Introduction

To improve Snagajob's job search filters and help users find more relevant positions faster, we need to analyze the current user experience, identify pain points, and develop targeted solutions. I'll approach this by examining user segments, analyzing their journey, and proposing data-driven improvements to the filtering system.

Step 1

Clarifying Questions (5 mins)

• Looking at Snagajob's position in the job search market, I'm curious about the primary user base. Could you tell me more about the typical job seekers using Snagajob? Are we primarily serving hourly workers, gig economy participants, or a broader range of job seekers?

Why it matters: This helps us tailor the filter improvements to the most relevant user group. Expected answer: Primarily hourly workers and part-time job seekers. Impact on approach: We'd focus on filters specific to hourly work, such as shift preferences and location proximity.

• Considering the current state of the job search filters, I'm wondering about user engagement metrics. What's the average time users spend searching for jobs, and how many filters do they typically apply per search?

Why it matters: This information helps us understand if users are overwhelmed by too many options or if they're not finding enough granularity in the current filters. Expected answer: Users spend an average of 10 minutes per search session and apply 2-3 filters. Impact on approach: If users are spending too much time, we might focus on simplifying the filter process. If they're not using many filters, we might need to make them more prominent or useful.

• Given the competitive landscape in job search platforms, I'm curious about Snagajob's unique value proposition. What key features or aspects of the platform do users find most valuable compared to competitors?

Why it matters: This helps us ensure that any filter improvements align with and enhance Snagajob's core strengths. Expected answer: Quick application process and real-time job postings are highly valued. Impact on approach: We might prioritize filters that highlight these aspects, such as "Apply with one click" or "Posted in last 24 hours."

• Considering the evolving job market, I'm interested in recent trends in user behavior or job postings. Have you noticed any significant shifts in the types of jobs being searched for or posted in the last 6-12 months?

Why it matters: This helps us ensure that our filter improvements are forward-looking and address emerging needs. Expected answer: Increase in remote work opportunities and gig economy jobs. Impact on approach: We might introduce new filter categories for remote work or flexible schedules.