By: Aleks Sztemberg in Knowledge

Simplifying Product Analytics with AI-Powered Intent-Based Actions

Stormly, a trailblazer in the world of product analytics, is at the forefront of utilizing the newest user interface paradigm that has been deemed a revolutionary shift in computing history.

This shift, called “Intent-Based Outcome Specification” by Nielsen Norman Group, is driven by advanced Artificial Intelligence systems, such as OpenAI’s GPT-4, and is paving the way for a new interaction model, where users specify their desired outcomes instead of specifying each step for the computer to follow.

Historically, we’ve had the era of batch processing, where tasks were queued and executed without any form of dialogue between the user and the computer. This was a bit like giving someone a long list of chores to do.

Then came the command-based interaction design, where users and computers took turns in a conversational manner, issuing and executing commands, similar to a phone call where we guide someone through a process step by step.

The latter has dominated the tech world for over six decades, transitioning from command lines to full-screen text-based terminals, and finally to graphical user interfaces (GUI).

As we move forward into this third UI paradigm, Stormly has adopted the mantle of the revolutionary interface, which is based on intent, not commands. Unlike its predecessors, this new AI-powered interface requires you to just tell the computer what you want to achieve, and it works out how to do it.

For product managers, it’s like asking a talented team member to take care of a task. You tell them what you want to accomplish, and they work out the steps to get there.

With this, Stormly is changing the way product analytics tools work, allowing businesses to make better decisions more quickly, and without the need for extensive training or understanding of complicated interfaces.

It’s worth mentioning that while AI-based interaction presents an enticing paradigm shift, Jakob Nielsen cautions us of its limitations. He identifies the challenges with accuracy, articulation, and a lack of clear iterative dialogue with current AI systems.

At Stormly, we’ve addressed these concerns by developing predefined questions and constantly testing our systems on how to achieve the most accurate and valuable outcome. Our AI assistant functions as an added, helpful layer to the product, offering guidance without limiting users.

Moreover, users can still manually modify reports and dashboards for that personalized touch. This approach not only makes our tool more flexible and intuitive, but it also allows us to blend the new intent-based paradigm with traditional UI elements, creating a seamless user experience.

Now, picture a product manager or a data analyst who’s just starting to work with a new product. They’re tasked with creating an in-depth dashboard full of specific reports. It’s a daunting task, and they may not know where to start.

In the traditional way of doing things, they would have to carefully set up each report on their own. This requires understanding each tool, module, and data source inside out. It’s a process that can take a lot of time and detailed knowledge.

But with Stormly’s AI assistant, this process becomes much simpler. As soon as the user plugs in their data, the AI assistant kicks into gear. It understands what product is being analyzed and the kind of data points that are being tracked.

From there, it suggests relevant questions that need to be answered based on the specific product and dataset. It could suggest addressing questions like, “Where are we losing the most users?”

To make sure it fully grasps the user’s needs, the AI assistant presents a series of follow-up questions. This step ensures the AI doesn’t miss any important details.

Once the AI assistant gets a full understanding of the task, it goes to work. It creates the dashboard automatically, which includes detailed reports and explanations. Most importantly, it provides a clear answer to the original question, and a step-by-step guide of how it arrived at that answer.

This intuitive, AI-driven interface simplifies the analytical process significantly, opening the door for in-depth questioning related to specific reports on the dashboard.

Stormly is not just limited to analyzing results. Users can also ask for the next steps, suggest A/B test ideas, create user personas, and so much more.

In simple terms, Stormly’s AI assistant makes the process of creating complex dashboards and reports much easier. It helps product managers and data analysts ask the right questions and get clear, detailed answers without the hassle of setting up reports manually.

This leads to quicker insights and better decision-making.

Stormly not only simplifies the process, but also democratizes product analytics by making it accessible to a wider audience. The AI assistance level that Stormly provides is akin to having an entire product data team at your fingertips.

This new approach empowers small businesses to leverage the power of data analytics and compete with larger companies, leveling the playing field.

Moreover, large companies also stand to benefit immensely. With the democratization of analytics, anyone in the company can use the data to make better decisions swiftly, without the need for a specialized skill set.

This feature opens up opportunities for greater collaboration and decision-making across departments, a critical factor in today’s dynamic business landscape.

The dawn of AI and the new UI paradigm brings a promise of unlimited potential and opportunities. It’s an exciting time to witness how tools like Stormly are rewriting the rules of the game, bringing AI into the mainstream, and enabling businesses of all sizes to leverage data analytics like never before.

Stormly truly encapsulates the spirit of innovation, leading the charge in the world of AI-driven product analytics.