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SQL for User Engagement Trends
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SQL for User Engagement Trends

MediumSQL · PostgreSQL

Problem

Write a SQL query to analyze user engagement by feature and date, including aggregations and trend breakdowns.

Use the provided users, features, and engagement_events tables. Include engagement dates with recorded events and compare each feature's activity with its previous available date.

Output

  1. One row per feature and engagement date
  2. Columns: feature_name, engagement_date, total_events, unique_users, average_duration_seconds, previous_day_events, event_change, and trend
  3. Include all feature-date combinations with valid users and features, ordered by feature_name, then engagement_date
  4. Label trends as Up, Down, Stable, or No prior date

Schema

users
ColumnTypeDescription
user_idPKINTUnique user identifier
user_nameVARCHAR(100)User display name
signup_dateDATEDate the user registered
features
ColumnTypeDescription
feature_idPKINTUnique feature identifier
feature_nameVARCHAR(100)Name of the product feature
feature_areaVARCHAR(100)Functional area containing the feature
engagement_events
ColumnTypeDescription
event_idPKINTUnique engagement event identifier
user_idINTUser who generated the event
feature_idINTFeature associated with the event
event_dateDATECalendar date of the event
event_typeVARCHAR(50)Type of engagement action
duration_secondsINTDuration of the engagement in seconds
Tablesusersfeaturesengagement_events
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