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Company focus

Upshift

Why has the average shift completion time for Upshift workers increased by 20 minutes across all client locations in the past two weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Hypothesis Testing Gig Economy Temporary Staffing On-Demand Labor Data Analysis Product Metrics Root Cause Analysis Gig Economy Workforce Management
Product Management Root Cause Analysis Question: Investigating increased shift completion time for gig workers

Introduction

The recent increase in average shift completion time for Upshift workers by 20 minutes across all client locations is a concerning trend that requires immediate attention. This issue directly impacts our service quality, worker satisfaction, and client relationships. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent system update. Has there been any significant change to our platform or app in the last month?

Why it matters: System changes often have unintended consequences on user behavior. Expected answer: Yes, there was a minor update to the worker app. Impact on approach: If confirmed, we'd focus on technical issues and user experience changes.

  • Considering the scope, I'm curious about the distribution. Is this increase consistent across all worker types and shifts, or are there specific segments more affected?

Why it matters: Helps identify if the issue is systemic or localized to certain groups. Expected answer: The increase is more pronounced in evening shifts and newer workers. Impact on approach: We'd investigate factors specific to these segments.

  • Given the metric, I'm wondering about any changes in shift allocation. Have there been any modifications to how shifts are assigned or the types of tasks workers are performing?

Why it matters: Changes in work nature could explain longer completion times. Expected answer: No significant changes in shift allocation methods. Impact on approach: We'd look more closely at worker behavior and external factors.

  • Thinking about external factors, have there been any notable changes in client demands or workplace conditions recently?

Why it matters: Client-side changes could be influencing worker performance. Expected answer: A few clients have implemented new check-in procedures. Impact on approach: We'd investigate the impact of these new procedures on shift times.

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Updated Jan 22, 2025