Class: RailsOnboarding::Analytics
- Inherits:
-
Object
- Object
- RailsOnboarding::Analytics
- Defined in:
- app/models/rails_onboarding/analytics.rb
Constant Summary collapse
- DEFAULT_PAGE_SIZE =
Default pagination settings to prevent memory issues
1000- MAX_PAGE_SIZE =
10000
Class Method Summary collapse
- .average_completion_time(date_range: nil) ⇒ Object
- .average_step_completion_times(date_range: nil) ⇒ Object
- .daily_summary(date: Date.current) ⇒ Object
- .funnel_analysis(date_range: nil) ⇒ Object
- .milestone_achievement_rates(date_range: nil) ⇒ Object
-
.onboarding_completion_rate(date_range: nil) ⇒ Object
Summary methods for analytics reporting.
- .onboarding_skip_rate(date_range: nil) ⇒ Object
- .step_completion_rates(date_range: nil) ⇒ Object
- .step_skip_rates(date_range: nil) ⇒ Object
- .tooltip_engagement_rate(date_range: nil) ⇒ Object
- .tooltip_metrics_by_feature(date_range: nil) ⇒ Object
Class Method Details
.average_completion_time(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 32 def average_completion_time(date_range: nil) events = base_events_query(date_range) completion_events = events.by_event_type(AnalyticsEvent::ONBOARDING_COMPLETED) # properties is serialized JSON stored in a plain text column, so # filtering by a key inside it has to happen in Ruby, not SQL - # JSON_EXTRACT is a MySQL/SQLite function name; PostgreSQL has no # such function (it uses ->/->> on an actual json/jsonb column). # Process in batches to prevent memory issues. total_time = 0.0 count = 0 completion_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| completion_time = event.properties&.dig("completion_time_seconds") next if completion_time.nil? total_time += completion_time.to_f count += 1 end return 0.0 if count.zero? (total_time / count).round(2) end |
.average_step_completion_times(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 97 def average_step_completion_times(date_range: nil) events = base_events_query(date_range) # properties is serialized JSON stored in a plain text column, so # filtering by a key inside it has to happen in Ruby, not SQL (see # average_completion_time above) - the time_spent > 0 check below # already excludes events with no time_spent_seconds recorded. step_events = events.by_event_type(AnalyticsEvent::ONBOARDING_STEP_COMPLETED) # Process in batches to prevent memory issues step_times = Hash.new { |h, k| h[k] = { total: 0.0, count: 0 } } step_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| step_name = event.properties&.dig("step_name") time_spent = event.properties&.dig("time_spent_seconds").to_f if step_name && time_spent > 0 step_times[step_name][:total] += time_spent step_times[step_name][:count] += 1 end end step_times.transform_values do |data| data[:count] > 0 ? (data[:total] / data[:count]).round(2) : 0.0 end end |
.daily_summary(date: Date.current) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 227 def daily_summary(date: Date.current) date_range = date.beginning_of_day..date.end_of_day { date: date, onboarding_started: base_events_query(date_range).by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count, onboarding_completed: base_events_query(date_range).by_event_type(AnalyticsEvent::ONBOARDING_COMPLETED).count, onboarding_skipped: base_events_query(date_range).by_event_type(AnalyticsEvent::ONBOARDING_SKIPPED).count, tooltips_shown: base_events_query(date_range).by_event_type(AnalyticsEvent::TOOLTIP_SHOWN).count, tooltips_clicked: base_events_query(date_range).by_event_type(AnalyticsEvent::TOOLTIP_CLICKED).count, milestones_achieved: base_events_query(date_range).by_event_type(AnalyticsEvent::MILESTONE_ACHIEVED).count } end |
.funnel_analysis(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 191 def funnel_analysis(date_range: nil) events = base_events_query(date_range) started = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count # Build step completion counts in batches step_completed_events = events.by_event_type(AnalyticsEvent::ONBOARDING_STEP_COMPLETED) step_completion_counts = Hash.new(0) step_completed_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| step_name = event.properties&.dig("step_name").to_s step_completion_counts[step_name] += 1 if step_name.present? end steps = RailsOnboarding.configuration.steps.map.with_index do |step, index| completed = step_completion_counts[step[:name].to_s] || 0 retention_rate = started > 0 ? (completed.to_f / started * 100).round(2) : 0.0 { step_name: step[:name], step_index: index, step_title: step[:title], users_reached: completed, retention_rate: retention_rate } end completed = events.by_event_type(AnalyticsEvent::ONBOARDING_COMPLETED).count overall_completion = started > 0 ? (completed.to_f / started * 100).round(2) : 0.0 { total_started: started, overall_completion_rate: overall_completion, steps: steps } end |
.milestone_achievement_rates(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 171 def milestone_achievement_rates(date_range: nil) events = base_events_query(date_range) milestone_events = events.by_event_type(AnalyticsEvent::MILESTONE_ACHIEVED) # Process in batches to prevent memory issues milestone_counts = Hash.new(0) milestone_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| milestone_key = event.properties&.dig("milestone_key") milestone_counts[milestone_key] += 1 if milestone_key end total_users = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count return {} if total_users.zero? milestone_counts.transform_values do |count| (count.to_f / total_users * 100).round(2) end end |
.onboarding_completion_rate(date_range: nil) ⇒ Object
Summary methods for analytics reporting
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# File 'app/models/rails_onboarding/analytics.rb', line 10 def onboarding_completion_rate(date_range: nil) events = base_events_query(date_range) started_count = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count return 0.0 if started_count.zero? completed_count = events.by_event_type(AnalyticsEvent::ONBOARDING_COMPLETED).count (completed_count.to_f / started_count * 100).round(2) end |
.onboarding_skip_rate(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 21 def onboarding_skip_rate(date_range: nil) events = base_events_query(date_range) started_count = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count return 0.0 if started_count.zero? skipped_count = events.by_event_type(AnalyticsEvent::ONBOARDING_SKIPPED).count (skipped_count.to_f / started_count * 100).round(2) end |
.step_completion_rates(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 57 def step_completion_rates(date_range: nil) events = base_events_query(date_range) step_events = events.by_event_type(AnalyticsEvent::ONBOARDING_STEP_COMPLETED) # Process in batches to prevent memory issues step_counts = Hash.new(0) step_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| step_name = event.properties&.dig("step_name") step_counts[step_name] += 1 if step_name end total_users = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count return {} if total_users.zero? step_counts.transform_values do |count| (count.to_f / total_users * 100).round(2) end end |
.step_skip_rates(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 77 def step_skip_rates(date_range: nil) events = base_events_query(date_range) skip_events = events.by_event_type(AnalyticsEvent::ONBOARDING_STEP_SKIPPED) # Process in batches to prevent memory issues step_skips = Hash.new(0) skip_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| step_name = event.properties&.dig("step_name") step_skips[step_name] += 1 if step_name end total_users = events.by_event_type(AnalyticsEvent::ONBOARDING_STARTED).count return {} if total_users.zero? step_skips.transform_values do |count| (count.to_f / total_users * 100).round(2) end end |
.tooltip_engagement_rate(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 122 def tooltip_engagement_rate(date_range: nil) events = base_events_query(date_range) shown_count = events.by_event_type(AnalyticsEvent::TOOLTIP_SHOWN).count return 0.0 if shown_count.zero? clicked_count = events.by_event_type(AnalyticsEvent::TOOLTIP_CLICKED).count (clicked_count.to_f / shown_count * 100).round(2) end |
.tooltip_metrics_by_feature(date_range: nil) ⇒ Object
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# File 'app/models/rails_onboarding/analytics.rb', line 133 def tooltip_metrics_by_feature(date_range: nil) events = base_events_query(date_range) tooltip_events = events.where(event_type: [ AnalyticsEvent::TOOLTIP_SHOWN, AnalyticsEvent::TOOLTIP_CLICKED, AnalyticsEvent::TOOLTIP_DISMISSED ]) # Process in batches to prevent memory issues feature_metrics = Hash.new { |h, k| h[k] = { shown: 0, clicked: 0, dismissed: 0 } } tooltip_events.find_each(batch_size: DEFAULT_PAGE_SIZE) do |event| feature = event.properties&.dig("tooltip_feature") next unless feature case event.event_type when AnalyticsEvent::TOOLTIP_SHOWN feature_metrics[feature][:shown] += 1 when AnalyticsEvent::TOOLTIP_CLICKED feature_metrics[feature][:clicked] += 1 when AnalyticsEvent::TOOLTIP_DISMISSED feature_metrics[feature][:dismissed] += 1 end end feature_metrics.map do |feature, metrics| engagement_rate = metrics[:shown] > 0 ? (metrics[:clicked].to_f / metrics[:shown] * 100).round(2) : 0.0 { feature: feature, shown: metrics[:shown], clicked: metrics[:clicked], dismissed: metrics[:dismissed], engagement_rate: engagement_rate } end end |