AI Analytics: Visibility into how your organization uses Secoda AI

Every data leader knows the challenge: AI is everywhere in your workflows, but proving its impact is another story. How much time is it actually saving your team? Which questions are being deflected instead of landing in your inbox? Who in your org is really leaning on AI, and which areas of the business are benefitting most?

Until now, these answers have been hard to come by. You could guess at adoption based on anecdotal wins, but not measure it. That’s why we built AI Analytics, a new workspace-level dashboard that puts numbers behind the value of Secoda AI.

With AI Analytics, you’ll see exactly how your organization is using Secoda AI, from total queries and time savings to usage trends over time, top categories of questions, and feedback from your team. It’s the clearest picture yet of how AI is driving impact across your data organization.

What can you track with AI Analytics?

Total queries
Track the total number of queries your organization has made to Secoda AI to measure adoption and engagement. A growing query count indicates active usage and strong integration of AI into daily workflows.

Total time savings
Quantify how much time Secoda AI is saving your team across all workflows, whether that’s answering questions, writing documentation, or handling governance tasks.

The calculation estimates total hours or minutes saved by comparing AI-assisted actions to the average time a human would spend completing the same tasks manually. This is a key indicator for demonstrating ROI and operational efficiency gains from Secoda AI.

AI chats over time
Visualize how AI usage evolves within your organization. Trend charts reveal peaks, dips, and long-term adoption patterns, helping you identify when and how Secoda AI delivers the most value. Use this view to measure sustained engagement or adoption following new feature rollouts or training initiatives.

Prompts by member
See which team members are most engaged with Secoda AI. This view highlights top users, helping you identify early adopters, power users, and potential internal champions who can help drive broader adoption and best practices.

Categories of questions asked
Break down usage by category to understand where AI is having the most impact. Categories include:

• Discovery & Search – Finding datasets, metrics, or dashboards faster
• Documentation & Metadata – Generating or improving asset documentation
• Governance & Compliance – Clarifying data ownership, access, or sensitivity
• Quality & Monitoring – Explaining tests, alerts, and data health metrics
• Automation & Workflows – Streamlining repetitive data management and business analytics tasks

These insights reveal which workflows are saving the most time and where additional AI automation could add further value.

Time filters for deeper insights
Apply date filters to focus on usage during a specific week, month, or quarter. Use these filters to track adoption trends over time, monitor the impact of product rollouts, or report AI-driven efficiency metrics to leadership and stakeholders.

Feedback from users
Track real user sentiment to improve AI accuracy and adoption. The Feedback widget aggregates user interactions, showing total Likes and Dislikes alongside the specific AI chats they relate to.

You can click into each response to see the conversation context and understand why it received positive or negative feedback. This helps your data team identify where Secoda AI is performing well and where prompts or context might need refinement.

Why does this matter for your team?

Many organizations adopt AI, but few can show its return on investment. AI Analytics changes that. It gives workspace admins clear, measurable metrics they can share with leadership to demonstrate real ROI in terms of time saved and questions deflected.

This visibility also provides a pulse on how AI is being used across the organization. Admins can quickly see if adoption is uneven across departments. For example, if teams aren’t fully taking advantage of features like auto-documentation, they can step in to provide support. They can also spotlight champions who are using Secoda AI in innovative ways to solve problems faster and set the standard for others.

By tracking adoption and engagement at both the team and individual level, AI Analytics helps leaders allocate resources more effectively, build trust with stakeholders, and guide their AI adoption strategy with data instead of guesswork.

Getting started

With AI Analytics, you can move beyond “we think AI is helping” to measurable proof of impact. Track usage, adoption, and savings, all in one place.

AI Analytics is now live in your workspace. Explore your organization’s usage today to see how much time you’re saving with Secoda AI and where your team is finding the most value.