Using AI Summaries to Analyze Task Comments
Last updated: March 11, 2026
OnRamp allows you to generate AI-powered summaries from your Views, helping you quickly understand patterns in customer behavior and project activity.
One powerful use case is analyzing task comments from customers.
By creating a view focused on task comments and running an AI summary, you can quickly uncover:
Frequently asked customer questions
Tasks that cause confusion
Patterns in onboarding challenges
Opportunities to improve task instructions
This helps teams continuously improve their onboarding experience.
Creating a Task Comment View
To analyze customer comments, start by creating a view that surfaces the comment data you want to analyze.
Navigate to Views from the left-hand menu
Click Create View
You can either:
Start with the Customer Task Comments template, or
Create a custom view
When creating your view:
Select the Task Comment object
Apply filters to narrow the data
Choose which columns you want to display
For example, you might filter for:
Customer comments only
Comments from a specific playbook
Comments from recent projects
Once the view displays the data you want to analyze, save the view.
Running an AI Summary
After saving the view, you can generate an AI summary.
The AI analyzes the data shown in the view and produces a summary that highlights key patterns and insights.
To generate a summary:
Open the saved view
Click Generate AI Summary
The summary will analyze the comments and surface insights such as:
common themes in customer questions
tasks receiving the most feedback
trends in customer engagement
You can also regenerate the summary if the underlying data changes.
Example Insights
AI summaries can help identify areas where customers may be experiencing friction during onboarding.
For example, the summary might reveal:
Customers frequently asking questions about configuration requirements
Repeated confusion around billing setup
Multiple comments related to scheduling coordination
These insights highlight tasks that may need clearer instructions or improved documentation.
Improving Your Onboarding Experience
Insights from AI summaries can help teams improve their onboarding workflows.
If a task consistently generates questions, you might:
Update the task instructions
Add additional context or examples
Include helpful resources or links
Break complex tasks into smaller steps
Making these improvements helps customers move through onboarding more smoothly without needing additional clarification.
Best Practices
✔ Create views that focus on a specific question or workflow
✔ Use filters to isolate the most relevant data
✔ Review AI summaries regularly to spot trends
✔ Update tasks or playbooks when repeated questions appear
AI summaries help transform customer feedback into actionable insights, making it easier to continuously improve your onboarding process.