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Product Management Improvement Question: Enhancing Hopin's analytics dashboard for better event organizer insights

Asked at Hopin

15 mins

In what ways can we improve Hopin's analytics dashboard to provide more actionable insights for event organizers?

Product Improvement Medium Member-only
Data Analysis User-Centric Design Feature Prioritization Virtual Events SaaS Data Analytics
User Experience Product Improvement Analytics Data Visualization Virtual Events

Introduction

To improve Hopin's analytics dashboard for event organizers, we need to focus on providing more actionable insights. This involves understanding the current state of the dashboard, identifying key pain points for organizers, and developing solutions that enhance data interpretation and decision-making. I'll approach this by examining user segments, analyzing pain points, generating solutions, and proposing metrics for measurement.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking Hopin might be at a critical growth stage where user needs are evolving rapidly. Could you help me understand where we are in the product lifecycle and what metrics are driving this improvement initiative?

Why it matters: Determines if we optimize for scale vs. feature expansion Expected answer: Mid-growth phase with rising customer acquisition costs Impact on approach: Would focus on retention and optimization over new features

  • Considering the diverse nature of events, I'm curious about the primary use cases for the analytics dashboard. Can you share the top 3-5 ways event organizers typically use the dashboard data?

Why it matters: Helps prioritize improvements based on most common use cases Expected answer: Attendee engagement tracking, revenue analysis, sponsor ROI Impact on approach: Would tailor solutions to enhance these specific areas

  • Given the competitive landscape in virtual event platforms, I'm wondering about Hopin's current market position. How does our analytics offering compare to our main competitors, and where do we see the biggest gaps?

Why it matters: Identifies areas for differentiation and competitive advantage Expected answer: Strong in real-time data, weak in predictive analytics Impact on approach: Would focus on leveraging real-time strengths while addressing predictive capabilities

  • Considering the importance of data-driven decision making, I'm interested in understanding the company's broader objectives. How does improving the analytics dashboard align with Hopin's overall strategy and goals for the next 1-2 years?

Why it matters: Ensures proposed improvements support company-wide initiatives Expected answer: Aiming to increase customer retention and expand to enterprise market Impact on approach: Would prioritize features that demonstrate clear ROI for larger clients

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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