Introduction
The recent 10-point decline in customer satisfaction for Pegasystems's Pega Customer Service application is a critical issue that demands immediate attention. As we delve into this product root cause analysis, we'll systematically examine potential factors contributing to this drop, validate our hypotheses, and develop a comprehensive plan to address the underlying issues.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the timeline and scope of changes helps pinpoint potential triggers for the satisfaction decline. Expected answer: The release occurred 2-3 months ago, introducing new features and UI changes. Impact on approach: If confirmed, we'll focus on recent changes as primary suspects.
Why it matters: Identifying specific affected segments can narrow down the problem areas. Expected answer: Enterprise users have shown a more significant drop in satisfaction compared to small business users. Impact on approach: We'll prioritize investigating features and changes that primarily affect enterprise users.
Why it matters: Ensures we're comparing apples to apples and rules out measurement inconsistencies. Expected answer: No changes in measurement methodology or collection process. Impact on approach: If confirmed, we can focus on actual product issues rather than metric discrepancies.
Why it matters: Helps distinguish between internal product issues and external influences. Expected answer: No major market shifts, but a competitor recently launched a new feature set. Impact on approach: We'll consider both internal improvements and competitive positioning in our analysis.
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