Introduction
The increase in average time to complete a compensation review using Pave's software by 15 minutes compared to the previous year is a significant issue that warrants thorough investigation. This problem directly impacts user experience, productivity, and potentially customer satisfaction. I'll approach this analysis 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: Changes in review complexity could explain the increased time. Expected answer: No significant changes in review complexity. Impact on approach: If complexity has increased, we'd need to focus on streamlining new processes.
Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The increase is seen across most user segments. Impact on approach: If it's segment-specific, we'd tailor our solution to those users.
Why it matters: Recent changes could be directly related to the performance decline. Expected answer: A new feature was added to the compensation review process. Impact on approach: We'd focus on optimizing the new feature if it's the cause.
Why it matters: Ensures we're comparing like-for-like metrics. Expected answer: Measurement methodology has remained consistent. Impact on approach: If changed, we'd need to reassess the validity of the comparison.
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