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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
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.
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.
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.
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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