Why has Hubilo's event check-in feature seen a 30% drop in usage over the past month?

Introduction

The recent 30% drop in usage of Hubilo's event check-in feature over the past month is a significant concern that requires immediate attention. As we analyze this product issue, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and proposing validation methods and solutions. This structured process will ensure we thoroughly investigate the problem and develop effective strategies to resolve it.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any significant change to the event check-in feature in the last 1-2 months?

Why it matters: Recent changes could directly impact usage patterns. Expected answer: Yes, there was an update to the UI/UX of the check-in process. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their potential effects on user behavior.

• Considering user segments, I'm wondering if this drop is uniform across all event types. Are we seeing similar declines in check-ins for both virtual and in-person events?

Why it matters: Different event types might have different check-in behaviors and could be affected differently. Expected answer: The drop is more pronounced in virtual events. Impact on approach: We'd investigate factors specific to virtual event check-ins and potential differences in user needs or expectations.

• Given the magnitude of the drop, I'm curious about any changes in our user base. Has there been any significant shift in our customer demographics or the types of events being hosted on Hubilo in the past month?

Why it matters: Changes in user composition could explain shifts in feature usage. Expected answer: No significant changes in customer demographics or event types. Impact on approach: We'd focus more on internal factors or changes in the competitive landscape.

• Thinking about potential technical issues, I'm wondering about the reliability of our check-in system. Have there been any reported issues or increased error rates in the check-in process over the last month?

Why it matters: Technical problems could directly impact usage and user satisfaction. Expected answer: There have been some intermittent issues reported by users. Impact on approach: We'd prioritize investigating the technical stability and performance of the check-in feature.