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Company focus

99 Group

What factors are causing the decline in new property listings on 99.co's platform in Singapore during Q2 2023?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Real Estate Technology Online Marketplaces Platform Optimization Metrics Analysis Root Cause Analysis User Behavior PropTech
Product Management Root Cause Analysis Question: Investigating property listing decline on 99.co platform in Singapore

Introduction

The decline in new property listings on 99.co's platform in Singapore during Q2 2023 is a critical issue that requires immediate attention. As we analyze this product challenge, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the platform's success.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, ruling out basic external factors, and then diving deep into product understanding, metric breakdown, and hypothesis formation. We'll then conduct a thorough root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Is Q2 typically a slower period for property listings in Singapore?

Why it matters: Seasonal trends could explain cyclical declines and help differentiate between expected fluctuations and genuine problems. Expected answer: Q2 is usually stable or growing for listings. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than quarter-over-quarter.

  • I'm curious about the scale of the decline. Can you provide more context on the percentage drop in new listings compared to Q1 2023 or Q2 2022?

Why it matters: The magnitude of the decline helps prioritize the urgency of our response and informs the scale of potential solutions. Expected answer: A significant drop, perhaps 20-30% compared to previous periods. Impact on approach: A larger decline would warrant more aggressive interventions.

  • Considering user segments, I'm wondering if this decline is uniform across all property types or concentrated in specific categories. Have you noticed any patterns?

Why it matters: Segmented data could reveal targeted issues affecting specific user groups or property types. Expected answer: The decline is more pronounced in certain property categories. Impact on approach: We'd tailor our solutions to the most affected segments if the decline isn't uniform.

  • Given the potential for technical issues, have there been any recent changes to the listing process or platform infrastructure that coincide with the start of this decline?

Why it matters: Technical changes could introduce bugs or friction in the listing process, directly impacting new listings. Expected answer: Some updates were made to the platform at the beginning of Q2. Impact on approach: If technical changes align with the decline, we'd prioritize investigating those specific updates.

  • Thinking about market dynamics, has there been any significant shift in competitor strategies or new entrants in the Singapore property listing market recently?

Why it matters: Competitive pressures could be drawing users away from 99.co. Expected answer: No major changes in the competitive landscape. Impact on approach: If competition isn't a factor, we'd focus more on internal issues and user experience.

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NextSprints

Updated Jan 22, 2025