Skip to main content

Analytics Overview

Rise provides UI-Contextual Product Intelligence — analytics that show not just what users do, but what they see when they do it.

The "Why" Layer​

Traditional analytics (Mixpanel, Amplitude, Google Analytics) answer "what happened?"

Rise analytics answer "why did it happen?"

Traditional Analytics​

Event: user_clicked_export
Properties:
  - timestamp: 2024-10-16 14:23:10
  - user_id: abc123
  - page: /data

What you learn: User clicked export

What you don't know: Why they clicked, what they saw, what happened after

Rise Analytics​

Event: user_clicked_export
Properties:
  - timestamp: 2024-10-16 14:23:10
  - user_id: abc123
  - page: /data

Contextual Properties (Rise adds):
  - visible_features: ["export", "filter", "chart"]
  - data_state: empty (no data on screen!)
  - previous_action: applied_filter_that_returned_nothing
  - friction_signals: ["dead_click", "confusion_loop"]
  - ui_state: {
      buttons_disabled: ["save", "share"],
      data_volume: 0,
      empty_state_showing: true
    }

What you learn: User tried to export but there was no data. They applied a filter that returned nothing, then tried to export anyway (confusion). The export button should be disabled when no data.

Rise Analytics Categories​

1. Feature Usage Intelligence​

Understand which features users see vs use.

Key Insights:

  • Visibility Rate: % of sessions where feature was visible
  • Engagement Conversion: % who used after seeing
  • Discovery Gap Score: Why users aren't finding features
  • Classification: High/low visibility × high/low usage

Learn more →

2. Actual User Workflows​

Auto-discovered paths users take (not predefined funnels).

Key Insights:

  • Common paths for each goal
  • Optimal vs actual steps
  • Loop detection (confusion patterns)
  • Dead-ends and drop-offs

Learn more →

3. Smart Behavioral Cohorts​

Segment users by behavior patterns, not demographics.

Key Insights:

  • Explorers vs Task-oriented users
  • Early adopters vs Late discoverers
  • Power users vs Casual users
  • Empty-state dwellers vs Data-rich users

Learn more →

4. Friction Detection​

Identify where users get stuck, confused, or frustrated.

Key Insights:

  • Dead clicks and rage clicks
  • Confusion loops (A→B→A→B)
  • Backtracking patterns
  • Idle time and hesitation

Learn more →

5. Contextual "Why" Analysis​

Understand the UI context when events occur.

Key Insights:

  • UI state at event time (empty states, disabled features)
  • Data context (volume, presence, quality)
  • Visibility patterns
  • Predictive signals (early behaviors that predict success/churn)

Rise-Native Metrics​

Metrics unique to Rise's contextual approach:

Visibility Rate (VR)​

VR = (Sessions where feature was visible) / (Total sessions) × 100

Example: Export button VR = 65% (Users see the export button in 65% of their sessions)

Engagement Conversion (EC)​

EC = (Users who used feature) / (Users who saw feature) × 100

Example: Export button EC = 45% (Of users who saw export, 45% used it)

Discovery Gap Score​

DGS = (1 - VR) × EC × (days_to_discovery / 30)

Example: Advanced filters DGS = 0.42 (HIGH)

  • Low visibility (30% VR)
  • High engagement when found (80% EC)
  • Takes 12 days average to discover → Insight: Hidden high-value feature! Make more visible.

Friction Index (FI)​

FI = weighted_score(idle_time + backtracking + dead_clicks + loops)

Example: Checkout flow FI = 7.2 (HIGH) → Insight: Users struggling. Investigate and simplify.

Contextual Success Rate (CSR)​

CSR = (Success rate) × (Context quality factor)

Success rate alone: 60% Context quality: 0.75 (often missing required data) CSR = 45% → Insight: Users succeed 60% when they have the right data, but only have right data 75% of the time. Fix data availability.

How Rise Complements Existing Analytics​

Mixpanel / Amplitude​

What they do: Track events, build funnels, measure conversion What Rise adds: Context for WHY events happen or don't happen

Integration: Rise can send contextual properties to Mixpanel/Amplitude:

// Mixpanel receives:
mixpanel.track('feature_used', {
  feature: 'export',
  // Rise adds:
  data_state: 'empty',
  buttons_visible: ['export', 'filter'],
  friction_detected: true,
  user_cohort: 'task_oriented'
});

Learn about integrations →

Google Analytics​

What they do: Page views, sessions, basic events What Rise adds: Behavioral patterns, intent inference, friction detection

Heap / FullStory​

What they do: Auto-capture clicks, session replay What Rise adds: Intent modeling, smart cohorts, predictive signals

Rise is complementary, not competitive.

Dashboard Tour​

Main Analytics Dashboard​

Top Metrics:

  • Active users with Rise learning
  • Jobs completion rate
  • Automation acceptance
  • Friction score trend

Key Views:

  1. Feature Intelligence - Visibility vs usage matrix
  2. Workflow Explorer - Visual path diagrams
  3. Cohort Breakdown - User segments and behaviors
  4. Friction Heatmap - Where users struggle
  5. Predictive Insights - Churn risk, expansion opportunity

Job-Specific Analytics​

Each Job has its own analytics:

  • Completion funnel
  • Common paths to success
  • Drop-off analysis
  • Intervention effectiveness
  • A/B test results

Real-Time Stream​

Watch events as they happen:

  • Live event stream
  • User session playback (behavioral, not visual)
  • Intent confidence scores
  • Trigger decisions in real-time

Accessing Analytics​

Rise Dashboard​

  1. Log into Rise Admin Console
  2. Navigate to Analytics
  3. Choose view:
    • Feature Intelligence
    • Workflows
    • Cohorts
    • Friction Detection

API Access​

Pull analytics programmatically:

GET https://api.getrise.ai/v1/analytics/features
GET https://api.getrise.ai/v1/analytics/workflows
GET https://api.getrise.ai/v1/analytics/cohorts
GET https://api.getrise.ai/v1/analytics/friction

API Documentation →

Scheduled Reports​

Receive weekly insights via email:

  • Top insights of the week
  • Friction alerts
  • Opportunity identification
  • Job performance summary

Configure in Settings > Reports

Common Questions​

"How is this different from session replay?"​

Session Replay (FullStory, LogRocket):

  • Video-like recording of user sessions
  • See exact visual interactions
  • High storage, privacy concerns

Rise Analytics:

  • Behavioral metadata only
  • Intent patterns and context
  • Privacy-friendly (no visual capture)
  • Automated insights, not manual review

"Do I need to replace my existing analytics?"​

No! Rise complements existing tools:

Keep using Mixpanel/Amplitude for:

  • Standard event tracking
  • Conversion funnels
  • Retention analysis
  • Custom dashboards

Use Rise for:

  • Understanding "why" behind the numbers
  • Intent and behavior patterns
  • Friction detection
  • Automated interventions

"What data does Rise collect?"​

Rise collects behavioral metadata, not content:

✅ Collected:

  • Element types (button, input, link)
  • Interaction patterns (click, hover, scroll)
  • UI structure and visibility
  • Behavioral signals (friction, confusion)

❌ NOT Collected:

  • Keystroke content
  • Form input values
  • Personal information (PII)
  • Visual screenshots
  • Sensitive data

Privacy details →

Next Steps​