Introduction
The sudden increase in Snap Finance's instant financing approval time from 2 minutes to 8 minutes over the past week is a critical issue that demands immediate attention. This significant slowdown in a core product feature could severely impact user experience, conversion rates, and overall business performance. 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 performance drop. Expected answer: Yes, a new risk assessment model was implemented. Impact on approach: If confirmed, I'd focus on the new model's performance and integration.
Why it matters: Helps identify if the issue is universal or specific to certain user types. Expected answer: Higher-risk applicants are experiencing longer wait times. Impact on approach: I'd investigate the risk assessment criteria and their implementation.
Why it matters: A surge in applications could strain the system, causing delays. Expected answer: Application volume has remained relatively stable. Impact on approach: If volume isn't the issue, I'd focus more on internal system performance.
Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes in measurement or reporting methods. Impact on approach: Confirms the issue is real and not a reporting error, focusing our efforts on actual performance problems.
Practice similar questions
Subscribe to access the full answer