• USAGE
  • ENGAGEMENT
  • AUDIT
  • HUMAN

How to audit product features and engagement with your AI

Connect Gainsight PX to your AI client to pull real-time product usage data and engagement metrics.

Ask AI about this page

Short answer

How can I audit my product features and engagement using AI?

Your AI pulls feature lists and engagement data directly from Gainsight PX to identify which tools are being used and which guides are active. You get a clear view of feature adoption and user interaction without manual exports. This breakdown shows how the AI handles the data.

Where every insight lands.

Audit outcomes

The AI organizes your Gainsight PX data into these specific views.

USAGE

Feature adoption maps

The AI uses feature lists to show you which parts of your product are actually being touched. You'll see exactly what is active and what is ignored.

ENGAGEMENT

Guide and survey status

Check the status of in-app guides and surveys. This tells you if your engagement efforts are actually reaching users.

AUDIT

Instrumentation checks

Verify that your feature tracking is working as intended. The AI flags discrepancies between expected and actual feature usage.

HUMAN

Strategic decisions

The AI identifies the gaps, but you decide how to change your product roadmap or guide strategy based on the findings.

The workflow

What your AI does when the data arrives.

The AI acts as a bridge between your Gainsight PX instance and your chat interface.

  1. Map the product

    The AI identifies all available product features to establish a baseline for your audit.

    list_product_features

  2. Check engagement

    It pulls a list of active in-app engagements like surveys or guides to see what's currently live.

    list_px_engagements

  3. Analyze user reach

    The AI looks at the user base to determine how many people are interacting with specific elements.

    list_px_users

  4. Identify gaps

    By comparing features against engagement data, the AI highlights features that lack proper tracking or user interest.

    list_product_featureslist_px_engagements

Try it

Copy these to start.

Use these prompts to begin your audit immediately.

Starting points

These are starting points. Swap out the specific feature or guide names to get more precise answers.

Gainsight PX Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_zpxhuSDqIwhJzOXt4L4O1lB53vte6W8EY1ZNPcTy/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Gainsight PX capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gainsight-px-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_zpxhuSDqIwhJzOXt4L4O1lB53vte6W8EY1ZNPcTy/mcp"
    }
  }
}
Copy into chat04

  • List all my product features and tell me which ones have zero engagement.

  • Which in-app surveys are currently active in Gainsight PX?

  • Compare the number of users against the engagement on my latest feature guide.

  • Are there any product features that aren't showing up in my engagement data?

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Gainsight PX once, then ask.

Just follow the link to connect your account. Your credentials stay encrypted, and you can start auditing immediately.

Connect Gainsight PX to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my Gainsight PX settings?

    No. The AI can only read feature, engagement, and user data. It cannot modify your guides, surveys, or configurations.

  • 02

    Can the AI delete users or engagement data?

    No. The tools are strictly read-only. Your data in Gainsight PX remains untouched.

  • 03

    How does the AI know which features are being used?

    It uses the feature list and engagement data to see which specific items have recorded activity.

  • 04

    Can I use this to create new in-app guides?

    No. You must create and manage guides within the Gainsight PX interface. The AI only audits what is already there.

  • 05

    Does the AI see all my user data?

    The AI can access user information through the provided tools to help you understand engagement levels.

  • More questions about Gainsight PX? The Connector page answers them. See everything the Gainsight PX Connector can do

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