Talking to Your Data: How AI is Changing the Game for Product Teams

Talking to Your Data: How AI is Changing the Game for Product Teams

As product managers, we’re often drowning in data, but finding meaningful insights—without being a data analyst or a visualization expert—can feel like a challenge. I’ve experienced it first-hand throughout my career, whether it was at Opsgenie or Atlassian, and it’s a challenge I’m deeply passionate about solving. That’s one of the reasons we’re building Actioner with AI at its core—not just to automate tasks, but to change the way we interact with data.

We’re living in an exciting time where the rise of AI-powered tools allows you to interact with your data, ask questions in natural language, and get answers in real-time. With Actioner, we’re trying to make it as easy as asking a question: “Which features have the most support tickets this month?” or “How has sentiment changed for our top-tier customers?” Instead of relying on a data analyst to prepare these insights or having to work with rigid dashboards that update rarely, Actioner puts the power of data interaction in your hands.

What Does “Talking to Your Data” Really Mean?

Most product teams are used to looking at static dashboards, waiting for periodic updates or reports from data teams. It’s a slow, manual process, and by the time you get the data, the moment for action has often passed.

What we’re building at Actioner flips this on its head. With our AI-driven natural language interface, you can ask your data anything—without needing to know SQL, without having to set up complex queries. Want to know how customer sentiment changed after a feature release? Just ask. Want to visualize ticket volume per product area in a chart? The AI will generate it for you—customized, in real-time, no middleman required.

It’s about making data-driven decision-making accessible to everyone, not just data teams. And by empowering product teams to explore their data directly, we’re cutting down on delays and putting insights directly into the hands of the people who need them.

Empowering Users to Build Dashboards on the Fly

Let me give you an example. At many companies I’ve worked for, the process of creating a new dashboard is often a pain. You need to know exactly what metrics to track, then go through several rounds of back-and-forth with data analysts to get the right charts visualized. And if the product team decides to change its priorities mid-sprint? Well, good luck getting an updated dashboard in time.

With Actioner, users can build their own dashboards dynamically. You don’t need to be a visualization expert. You don’t need to wait weeks to see an updated view of your data. Our system lets you slice and dice your data however you want, right when you need it. Want a bar chart to show which features have the most bugs? Done. Need a line chart showing ticket volume trends over time? No problem. You can build it yourself with a few simple prompts.

Examples of AI-Powered Tools Changing the Landscape

There are a few other tools on the market that are doing incredible things with AI, and they’ve inspired us at Actioner. For example, Notion recently introduced AI capabilities that allow users to generate summaries, organize content, and ask questions about documents directly. Another example is Airtable’s AI block, which lets teams build no-code automations that analyze and visualize data in ways that weren’t possible before.

These tools have one thing in common: they democratize access to complex tasks. That’s exactly what we’re doing with Actioner—giving product teams the ability to explore and act on their data, no matter their technical expertise.

The Future of Product Operations

The future of product operations is real-time, AI-driven, and human-friendly. We’re building Actioner to be at the forefront of this transformation, making it easier for product teams to interact with their data and make decisions faster. It’s not just about dashboards; it’s about talking to your data in a way that feels natural, fluid, and empowering.

I’m excited to see where AI takes us next and even more excited to see how teams use Actioner to stay closer to their customers, act faster on insights, and make data-driven decisions every day.