Using AI Summaries to Improve Customer Onboarding

AI Summaries help onboarding teams quickly identify patterns in their customer onboarding process. Instead of manually reviewing dozens of projects, tasks, or comments, AI can analyze the data in a View and highlight trends, common questions, and areas where customers may be getting stuck. These insights help teams continuously improve their onboarding experience and remove friction for customers.

Identify Tasks That Generate Customer Questions

One of the most powerful uses of AI Summaries is analyzing customer task comments. By creating a View focused on customer task comments and running an AI Summary, you can uncover patterns such as customers frequently asking questions about a specific task, confusion around certain instructions, or repeated requests for clarification.

For a step-by-step walkthrough of this specific workflow, see Using AI Summaries to Analyze Task Comments.

Detect Friction in the Onboarding Process

AI Summaries can also highlight patterns in project activity that suggest onboarding friction. For example, AI might detect that certain tasks frequently remain incomplete, projects using a specific Playbook tend to run longer than expected, or customer engagement drops at a particular phase.

These insights help teams identify where the onboarding process may need adjustment — sometimes the solution is as simple as breaking a complex task into smaller steps, adding context to task instructions, or introducing a check-in milestone.

Improve Playbooks Over Time

AI Summaries are especially useful when reviewing data across multiple projects using the same Playbook. AI might reveal that a particular task consistently receives customer questions, certain modules take significantly longer than expected, or some steps are frequently skipped or delayed. These insights can guide improvements so future onboarding projects run more smoothly.

Monitor Customer Engagement

AI can also surface signals about customer engagement — highlighting projects where customers frequently interact, where activity has slowed down, or accounts with low engagement during onboarding. These signals help onboarding teams proactively reach out and support customers before progress stalls.

Turn Operational Data into Improvements

The most effective teams use AI Summaries as a regular feedback loop for improving onboarding. Instead of relying on anecdotal feedback, AI surfaces insights directly from the data generated during onboarding projects. Over time this allows teams to refine Playbooks, clarify instructions, remove bottlenecks, and improve customer experience. Small improvements discovered through AI insights can have a large impact when applied across many onboarding projects.

Best Practices

• Use AI Summaries on focused Views with clear filters

• Review summaries regularly to identify patterns

• Update Playbooks and tasks when recurring issues appear

• Combine AI insights with feedback from your onboarding team