What factors are contributing to the sudden 50% increase in customer support tickets related to Physical Intelligence's force plate calibration process?

Introduction

The sudden 50% increase in customer support tickets related to Physical Intelligence's force plate calibration process is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose a comprehensive validation and resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent product update. Has there been any software or firmware update to the force plates in the last month?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a firmware update was released three weeks ago. Impact on approach: If confirmed, I'd focus on the update's contents and rollout process.

• Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific customer segment or evenly distributed?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: Tickets are primarily from new customers. Impact on approach: If true, I'd investigate onboarding processes and new user experiences.

• Thinking about the calibration process itself, has there been any change in the recommended calibration frequency or procedure recently?

Why it matters: Changes in process can lead to confusion and increased support needs. Expected answer: No changes to the recommended process. Impact on approach: If unchanged, I'd look deeper into user behavior or technical issues.

• Regarding system performance, have there been any reported issues with the servers or cloud infrastructure supporting the force plate data processing?

Why it matters: Backend issues could manifest as calibration problems for users. Expected answer: No significant server issues reported. Impact on approach: If confirmed, I'd shift focus to client-side problems or user education.