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Company focus

QuintoAndar
Product Improvement Medium Member-only

How might QuintoAndar enhance its mobile app's search filters to help users find their ideal properties more efficiently?

Prepared by NextSprints

15 mins
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User Experience Design Feature Prioritization Data Analysis Real Estate PropTech Mobile Apps User Experience Product Improvement Real Estate Tech Mobile App Search Filters
Product Management Improvement Question: Enhancing mobile app search filters for efficient property finding

Introduction

To enhance QuintoAndar's mobile app search filters for more efficient property finding, we need to analyze user behavior, 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 search functionality.

Clarifying Questions

  • Looking at QuintoAndar's market position, I'm thinking it's likely facing increased competition. Could you share insights on our current market share and how it's trending?

Why it matters: Determines if we should focus on user acquisition or retention. Expected answer: Stable market share with increasing competition. Impact on approach: Would prioritize features that differentiate us from competitors.

  • Considering the mobile app context, I'm curious about user engagement patterns. What's the average session duration and frequency of app opens per user?

Why it matters: Helps understand user behavior and identify opportunities for improvement. Expected answer: 5-10 minute sessions, 2-3 times per week. Impact on approach: Would focus on streamlining the search process for quick, frequent use.

  • Given the focus on search filters, I'm wondering about our current conversion rates. What percentage of searches lead to property viewings or inquiries?

Why it matters: Indicates the effectiveness of current search functionality. Expected answer: 10-15% of searches result in user action. Impact on approach: Would prioritize improving filter accuracy and relevance.

  • Thinking about user demographics, I'm curious about our primary user base. What age group and socioeconomic status do most of our users fall into?

Why it matters: Helps tailor solutions to specific user needs and preferences. Expected answer: Millennials and young professionals, middle to upper-middle class. Impact on approach: Would focus on features appealing to tech-savvy, busy professionals.

Tip

I'd like to take a brief moment to organize my thoughts before moving to the next section. Is that alright with you?

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Updated Mar 29, 2025