Introduction
The increased processing time for AuthBridge's iBRIDGE background screening solution in the last quarter 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's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps distinguish between systemic issues and sudden changes. Expected answer: Gradual increase over the quarter. Impact on approach: Gradual increase suggests looking at scalability or cumulative effects.
Why it matters: Identifies if the issue is universal or specific to certain processes. Expected answer: Certain types of checks are more affected than others. Impact on approach: Focus on the most impacted check types and their unique characteristics.
Why it matters: Pinpoints potential technical causes tied to recent changes. Expected answer: A few minor updates, but nothing major. Impact on approach: Investigate if seemingly minor changes could have unforeseen consequences.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to measurement or reporting methods. Impact on approach: Confirms the issue is with actual performance, not measurement discrepancies.
Why it matters: Identifies potential external causes beyond AuthBridge's direct control. Expected answer: Some minor regulatory updates, but nothing significant. Impact on approach: Investigate if cumulative minor changes could be impacting processing times.
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