What factors are contributing to the sudden 20% drop in energy savings achieved by Redaptive's smart building automation systems in the last month?

Introduction

The sudden 20% drop in energy savings achieved by Redaptive's smart building automation systems is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and customers.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, metrics, and potential internal causes. My goal is to pinpoint the root cause and develop a comprehensive plan to resolve the issue and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent system update. Has there been any software or firmware updates to the smart building systems in the last 1-2 months?

Why it matters: Recent updates could introduce bugs or compatibility issues. Expected answer: Yes, a firmware update was rolled out 6 weeks ago. Impact on approach: If yes, we'd focus on regression testing and rollback options.

• Considering the scale of the drop, I'm wondering about the affected buildings. Is this 20% drop consistent across all buildings or concentrated in specific types or locations?

Why it matters: Helps determine if it's a systemic issue or limited to certain conditions. Expected answer: The drop is more pronounced in newer, larger commercial buildings. Impact on approach: If concentrated, we'd investigate unique characteristics of affected buildings.

• Given the nature of energy savings, I'm curious about external factors. Have there been any significant changes in weather patterns or energy prices in the affected regions?

Why it matters: External factors could explain the drop without indicating a product issue. Expected answer: No significant changes noted in weather or energy prices. Impact on approach: If no changes, we'd focus more on internal system factors.

• Considering potential data anomalies, I'm wondering about our measurement systems. Have there been any changes to how we measure or calculate energy savings in the past month?

Why it matters: Ensures the drop is real and not a result of measurement errors. Expected answer: No changes to measurement or calculation methods. Impact on approach: If no changes, we can trust the data and focus on actual performance issues.