Introduction
Narvar's Track feature, a critical component of the post-purchase experience, has experienced a concerning 15% drop in customer engagement over the past month. This decline signals a potential issue that could impact customer satisfaction, retention, and ultimately, revenue. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the engagement drop.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the engagement drop without indicating a deeper problem. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on optimizing for this period; if not, we'd look deeper into product or technical issues.
Why it matters: Different patterns across user segments could point to specific issues or changes affecting certain groups. Expected answer: The drop is more pronounced among returning customers. Impact on approach: If true, we'd focus on retention strategies and investigate recent changes that might have impacted loyal users.
Why it matters: Recent changes could directly correlate with the engagement drop. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: If confirmed, we'd scrutinize this update and potentially consider a rollback or further optimization.
Why it matters: Changes in measurement could create a false perception of decreased engagement. Expected answer: No changes to engagement measurement have been made. Impact on approach: If measurement has changed, we'd need to recalibrate our analysis; if not, we can focus on actual engagement factors.
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