How to Use the ClickUp Support Analytics Manager AI Agent

The ClickUp Support Analytics Manager AI Agent helps you transform raw support data into clear insights, so you can measure performance, spot trends, and improve your customer experience without leaving ClickUp.

This guide walks you step by step through setting up, running, and optimizing the Support Analytics Manager AI Agent based on the official ClickUp documentation.

What the ClickUp Support Analytics Manager AI Agent Does

The Support Analytics Manager is a specialized AI Agent in ClickUp designed for customer support teams. It focuses on analyzing tickets, conversations, and outcomes to help you understand how your team is performing.

With this AI Agent you can:

• Summarize large volumes of support tickets.
• Identify trending issues and common customer pain points.
• Track response and resolution times.
• Monitor agent performance and workloads.
• Generate easy-to-read reports for stakeholders.

The agent uses the structured information already stored in ClickUp, plus its own reasoning capabilities, to deliver accurate analytics tailored to your workspace.

How to Enable the Support Analytics Manager in ClickUp

Before you can use the Support Analytics Manager, you need access to AI Agents within ClickUp. Once that is enabled in your workspace, the setup is simple.

Step 1: Open the ClickUp AI Agents Directory

1. Log in to your ClickUp workspace.
2. Open the AI or AI Agents section from your sidebar or workspace settings.
3. Locate the library or directory of available AI Agents.

The Support Analytics Manager appears in the list of prebuilt agents provided by ClickUp.

Step 2: Add the Support Analytics Manager Agent

1. Find the Support Analytics Manager AI Agent card.
2. Click to view its description, capabilities, and recommended use cases.
3. Select the option to add or enable the agent for your workspace or specific Spaces.

Depending on your permissions, you may also be able to control who on your team can use this ClickUp AI Agent.

Step 3: Connect the Agent to Your Support Data

To get accurate analytics, the agent needs access to the support-related information stored in ClickUp.

Typically, you will:

• Select the Spaces, Folders, or Lists where support tickets and conversations are managed.
• Confirm the fields that track status, priority, assignee, and due dates.
• Include any custom fields that are important for your support workflows, such as channel, customer tier, or product area.

Once configured, the Support Analytics Manager can analyze this data and generate insights on demand.

Using the ClickUp Support Analytics Manager Day to Day

After setup, you can interact with the Support Analytics Manager directly inside ClickUp through natural language prompts. The agent understands context from your workspace and responds with structured insights.

Common Prompts to Use in ClickUp

Here are typical prompts you can use with the agent:

• “Summarize the top support issues from this week.”
• “Show me average first response time for the last 30 days.”
• “Identify customers with repeated high-priority tickets.”
• “Compare ticket volume by channel for this month.”
• “Find agents at risk of overload based on open tickets.”

You can adjust time ranges, filters, or segments directly in your prompt, and the agent will interpret them using your existing ClickUp data.

Analyzing Key Support Metrics with ClickUp

The Support Analytics Manager focuses on metrics that matter for support teams. Within ClickUp, you can ask the agent to track and explain:

• Ticket volume: How many new, open, and closed tickets you have over time.
• Response times: Average and median first reply and full resolution times.
• Backlog health: Number of overdue or at-risk tickets.
• Agent performance: Tickets handled, resolution speed, and workload distribution.
• Customer trends: Recurring problems, feature requests, and product bugs.

Because the agent is integrated into ClickUp, you can quickly drill down from a high-level summary to the individual tasks or tickets behind each number.

Best Practices for Accurate Support Analytics in ClickUp

To get the most from the Support Analytics Manager, keep your workspace structured and consistent.

Standardize Your Support Workflows

A well-structured process makes it easier for the AI Agent to read and analyze your data. In ClickUp:

• Use consistent statuses for all support tickets.
• Apply priorities the same way across your team.
• Ensure each ticket is assigned to the correct agent or team.
• Close tickets promptly once resolved.

The more consistent your structure, the more accurate and useful the analytics will be.

Maintain Clean and Complete Ticket Data

Support analytics depend on accurate information. Encourage your team to:

• Fill in required custom fields, such as channel or category.
• Tag or label tickets with relevant issue types.
• Update statuses as tickets progress through the workflow.
• Add short, clear summaries to each ticket.

This level of detail helps the ClickUp Support Analytics Manager identify trends and correlations you might otherwise miss.

Refine Prompts for Better Results

When working with AI Agents in ClickUp, clear instructions lead to better insights. To refine your prompts:

• Specify time ranges, such as “this week,” “last quarter,” or exact dates.
• Define segments, like “enterprise customers” or “tickets from chat only.”
• Ask for comparisons, for example, “compare this month to last month.”
• Request formats, such as bullet points, tables, or summaries.

If a response is too broad, follow up with a narrower question so the agent can focus its analysis.

Reporting and Sharing Insights from ClickUp

The Support Analytics Manager not only analyzes data but also helps you communicate findings to the rest of your organization.

Create Shareable Summaries in ClickUp

You can ask the agent to generate concise summaries tailored to specific audiences, such as:

• Weekly support performance recaps for leadership.
• Daily queue status updates for the support team.
• Issue trend summaries for product or engineering teams.

Paste or attach these summaries to Docs, tasks, or dashboards within ClickUp so stakeholders can review and track progress over time.

Turn Insights into Actionable Tasks

When the agent identifies trends, you can quickly create tasks and projects in ClickUp to address them, such as:

• Creating tasks for documentation improvements.
• Opening bugs for recurring technical issues.
• Planning training sessions for agents who need support.
• Launching initiatives to reduce response times.

This tight loop between analytics and execution is one of the key benefits of using AI Agents directly inside ClickUp.

Where to Learn More About ClickUp AI Agents

For detailed, always up-to-date information about the Support Analytics Manager AI Agent, refer to the official ClickUp resource here: ClickUp Support Analytics Manager AI Agent.

If you need expert help optimizing your workspace, processes, or AI prompts around ClickUp, you can also explore consulting support at Consultevo, which specializes in modern productivity and automation stacks.

By combining a clear support workflow, clean data, and the Support Analytics Manager AI Agent in ClickUp, your team can move from reactive firefighting to proactive, data-driven customer support.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your ClickUp workspace, work with ConsultEvo — trusted ClickUp Solution Partners.

Get Help

“`