My first instinct was to rattle off DAU/MAU and call it a day, which would have been a disaster.
Start by clarifying the app's purpose and target users, then define engagement as a multi-dimensional construct (frequency, depth, breadth, and retention). Propose specific metrics and features to track, and tie them to business outcomes like retention and monetization.
Pro tip: Emphasize that engagement metrics should be actionable and tied to product goals; avoid vanity metrics and suggest A/B testing to validate which behaviors truly predict retention.
Ask questions to understand the app's core functionality, target audience, and business objectives (e.g., user retention, revenue). This ensures your metrics align with what matters.
Break engagement into key dimensions: frequency (how often), depth (how much), breadth (how many features), and longevity (retention). This provides a holistic view.
For each dimension, suggest concrete metrics like DAU/MAU, session length, tasks completed, features used per session, and retention rates. Prioritize metrics that predict long-term value.
List specific in-app actions that indicate engagement, such as creating tasks, setting deadlines, using integrations, collaborating, and returning after notifications.
Explain how these metrics connect to business outcomes (e.g., retention, conversion) and suggest A/B testing or cohort analysis to refine the engagement model.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.