Dataford
Interview QuestionsInterview GuidesExperiencesCoaching
New
Pricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackCoaching1:1 coaching with people at your target companiesSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan
SQL for User Engagement Trends
00:00
5 left

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
Interviewer

Your question is SQL for User Engagement Trends. Start with the requirements and the three tables in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

You need to log in / sign up to run or submit.
CodePostgreSQL
Sign up free to run your codeLog inLn 1
Run your query to see results here.