AI Advice Dashboard
🧠 Overview
The AI Advice Dashboard provides AI-generated recommendations based on data monitored and analyzed by GermainUX.
It helps teams move from:
What is happening? → What should we improve?
Recommendations can be generated from monitored data and summarized user sessions at scale.
🎯 Advice Areas
AI Advice is organized around the primary outcomes GermainUX helps organizations improve:
|
Area |
Purpose |
|---|---|
|
Adoption |
Identify opportunities to reduce user struggles and improve successful application usage. |
|
Conversion |
Identify opportunities to reduce abandonment and improve revenue-generating customer journeys. |
|
Productivity |
Identify opportunities to reduce wasted time, repeated work, workflow delays, and employee friction. |
|
User Experience |
Recommend improvements based on observed user behavior, experience, and feedback. |
|
Technology |
Recommend changes that may reduce errors, slowdowns, failures, and performance issues. |
🔎 Understand a Recommendation
Depending on the available monitored data and analysis, an AI recommendation can include:
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Recommended improvement
-
Estimated impact (Impacted User, Loss Productivity, Drop-off, Not Converted, Revenue Loss, etc)
-
Affected users or segments
-
Supporting evidence
-
Related frictions
-
Links to more detailed investigations
Use the supporting evidence to understand why the recommendation was generated before deciding what action to take.
📊 Prioritize Improvements
AI Advice helps teams focus on improvements with the greatest potential impact rather than reviewing every individual session, error, or friction manually.
For example:
Observed Friction → AI Analysis → Affected Population → Estimated Impact → Recommended Improvement
⚙️ Act on Advice
After reviewing a recommendation, teams can determine the appropriate next action.
Depending on the configured GermainUX capabilities, this can include:
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Documenting a finding
-
Creating or updating a ticket
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Notifying the appropriate team
-
Adjusting an application or workflow
-
Executing an approved automated action
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Continuing monitoring to validate the result
AI Advice therefore supports the broader GermainUX operational model:
Observe → Analyze → Prioritize → Act → Validate
Related Documentation
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Analytics Dashboards
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Analysis Dashboard (aggregate level or individual fact)
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Frictions Dashboard
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Related KPIs
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User Sessions Replay
ℹ️ Get Help
The Germain Team can help you set this up. Contact GermainUX Support.
Feature Availability: 2014.1 or later