Why has the average completion time for inspections using SafetyCulture's Sensors feature increased by 5 minutes in the last two weeks?

Introduction

The recent increase in average completion time for inspections using SafetyCulture's Sensors feature is a critical issue that demands immediate attention. This 5-minute increase over the past two weeks could significantly impact user satisfaction, productivity, and ultimately, the product's value proposition. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update. Has there been any software release or feature change in the Sensors module in the last month?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was a minor update two weeks ago. Impact on approach: If confirmed, I'd focus on the update's impact on sensor data processing.

• I'm curious about the user base affected. Is this increase consistent across all user segments or more pronounced in specific industries or company sizes?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is more significant in manufacturing and construction sectors. Impact on approach: I'd investigate industry-specific factors and usage patterns.

• Considering potential external factors, have there been any changes in regulatory requirements or industry standards that might have affected inspection processes?

Why it matters: External factors can indirectly impact product usage and efficiency. Expected answer: No significant regulatory changes in the past month. Impact on approach: If confirmed, I'd focus more on internal factors and user behavior.

• Regarding the metric itself, has there been any change in how completion time is calculated or in the data collection process?

Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes in metric calculation or data collection. Impact on approach: If confirmed, I'd focus on actual usage patterns rather than measurement issues.