Introduction
The recent increase in mPokket account application approval time from 2 hours to 6 hours over the past week is a critical issue that demands immediate attention. This significant slowdown in our onboarding process could negatively impact user acquisition, customer satisfaction, and ultimately, our bottom line. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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: Recent changes could directly correlate with the slowdown. Expected answer: Yes, we updated our risk assessment model. Impact on approach: If confirmed, we'd focus on the new model's performance and potential bugs.
Why it matters: A surge in applications could overwhelm our current system. Expected answer: Application volume has increased by 30% due to a new marketing campaign. Impact on approach: We'd need to assess our system's scalability and resource allocation.
Why it matters: Human factors could be contributing to the slowdown. Expected answer: No changes in staffing, but we've implemented a new training program. Impact on approach: We'd investigate the impact of the training on productivity and efficiency.
Why it matters: Technical bottlenecks could be causing delays in the approval process. Expected answer: There have been intermittent spikes in database query times. Impact on approach: We'd prioritize investigating and optimizing our database performance.
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