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Analyze User Engagement Drop After Feature Release

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Problem

Business Context

TechCorp recently launched a new feature in their mobile app aimed at enhancing user engagement. However, since the release, daily active users (DAU) have dropped from 1.2 million to 1.02 million, marking a 15% decline. The Product Manager is concerned about this trend as it directly impacts user retention and revenue.

Available Data

Data SourceDescriptionGranularity
user_engagementDaily engagement metrics including DAU, session length, and feature usageDaily
feature_usageDetailed logs of how users interact with the new featurePer session
user_profilesUser demographics and historical engagement dataPer user
feedbackUser feedback and ratings for the new featurePer feedback entry

Task

  1. Define 'user engagement' and outline the metrics used to measure it.
  2. Decompose the drop in DAU to identify potential causes.
  3. Propose hypotheses for why engagement has declined since the feature release and how to test them.
  4. Recommend actionable strategies to improve user engagement based on your findings.
  5. Identify key metrics to monitor moving forward to ensure engagement improves.

Constraints

  • The analysis needs to be completed within two weeks to inform the upcoming product strategy meeting.
  • You have access to a SQL-queryable data warehouse with the tables mentioned above.