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Understanding Automated Insights

Learn how to interpret and act on Zenovay's AI-generated insights - anomalies, trends, and recommendations. Learn about insights in this AI insights guide.

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Automated insights are AI-discovered patterns and anomalies in your data. Learn how to read and act on them.

What Are Automated Insights?

Insights are AI observations about your data. Each one falls into one of four types:

TypeExample
Anomaly"Traffic dropped 35% compared to last week"
Trend"Organic traffic up 25% over 4 weeks"
Recommendation"Mobile converts 40% less than desktop"
Prediction"Visitors are on track to exceed last month"

Where to Find Insights

Insights live in two places:

  • Per website: open your website's dashboard and select the Insights tab (under Behavior in the sidebar).
  • Across your team: the Insights page in the main sidebar aggregates the most important insights across every website in your workspace.

Insight Anatomy

Insight Card Structure

Each insight card shows:

ElementPurpose
TypeAnomaly, trend, recommendation, or prediction
TitleBrief description
SeverityImportance level
DescriptionWhat changed and why it matters
DetectedWhen the insight was generated

Open a card to see the full detail view, which adds the supporting chart, the current value, the expected value, and the deviation.

Example Insight

ANOMALY: Traffic Drop Detected

Your website traffic dropped 35% compared to
the same day last week.

Current: 780 visitors
Expected: 1,200 visitors
Deviation: -35%

Detected: Today, 2:00 PM

Insight Types

Anomalies

Unusual deviations from the expected range:

AnomalyMeaning
Traffic spikeSudden increase
Traffic dropSudden decrease
Conversion changeRate significantly different
Error surgeMore errors than usual

Patterns developing over time:

TrendExample
Growing"Organic traffic up 5% weekly"
Declining"Bounce rate increasing steadily"
Seasonal"Traffic peaks on weekends"

Recommendations

Potential improvements found in your data:

RecommendationExample
Conversion gap"Mobile converts 40% less than desktop"
Traffic source"Social visitors are more engaged"
Content"Blog drives 3x more signups"

Predictions

Where a metric is likely heading based on recent activity, for example "Visitors are on track to exceed last month's total."

Insight Severity

Severity Levels

LevelColorMeaning
CriticalRedImmediate attention needed
WarningOrangeShould investigate soon
InfoBlueGood to know

Critical Insights

Require immediate action:

  • Major traffic drops
  • Conversion rate crashes
  • Error surges

Warning Insights

Investigate within a day:

  • Moderate changes
  • Developing trends
  • Potential issues

Info Insights

Review when convenient:

  • Minor changes
  • Context updates
  • Background patterns

Reading Insight Data

When you open an insight, the detail view shows the numbers behind it:

Conversion Rate Change
Current: 2.1%
Expected: 3.4%
Deviation: -38%

Current vs. Expected

The AI compares the current value against an expected value derived from your recent history. The deviation is how far the current value sits from that expected baseline. A historical chart plots the metric over time so you can see the change in context.

Acting on Insights

From an insight card or its detail view you can:

ActionWhat it does
OpenView the full detail, chart, and supporting metrics
AcknowledgeMark the insight as reviewed and clear it from the active list
DismissRemove an insight you don't find useful
CopyCopy the insight summary to your clipboard to share

Acknowledged insights are hidden from the active list by default. Use the Show acknowledged toggle to bring them back into view.

Managing Insights

Insight Feed

To work through your insights:

  1. Open the Insights tab on a website's dashboard, or the team-wide Insights page.
  2. Browse the list, newest first.
  3. Filter or search to narrow it down.

Filtering Options

The toolbar above the list lets you filter and search:

FilterOptions
TypeAnomaly, Trend, Recommendation, Prediction
SeverityCritical, Warning, Info
AcknowledgedShow or hide acknowledged insights
SearchMatch against the title, description, or metric

Acknowledging Insights

Why Acknowledge?

  • Marks the insight as reviewed
  • Clears it from the active list
  • Keeps your feed focused on what still needs attention

How to Acknowledge

  1. Read the insight
  2. Take any needed action
  3. Click Acknowledge

Best Practices

Daily Review

  • Check critical insights
  • Review new anomalies
  • Acknowledge actioned items

Weekly Review

  • Look at trends
  • Review recommendations
  • Check developing patterns

Acting on Insights

  1. Read - Understand the insight
  2. Verify - Confirm in your reports
  3. Investigate - Find the root cause
  4. Act - Take appropriate action
  5. Acknowledge - Close the insight

Building Habits

  • Include the Insights tab in your daily routine
  • Share notable findings with your team

Troubleshooting

Too Many Insights

If overwhelmed:

  • Filter by severity
  • Acknowledge older items to clear the list
  • Focus on critical only

Missing Insights

If you're not seeing expected insights:

  • Check the type and severity filters
  • Make sure acknowledged insights aren't hidden when you expect to see them
  • Verify your plan includes AI Insights (Pro and above)
  • Contact support

Irrelevant Insights

If an insight isn't useful, dismiss it to remove it from your feed.

Next Steps

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