Turn the analysis of the data into action

Is the user able to do what he or she wants to do? Can the employee find the right information on the intranet? Does the citizen get an answer to his or her question? Does the content lead to the result we actually want to achieve?

It is questions like these that reveal the true impact.

The solution itself is not the goal—the impact is the goal

It’s easy to think the work is done once a new feature, an e-service, or a webpage has been launched. But the launch is really just the beginning.

Take a municipality as an example. A new e-service for applying for a spot in daycare is launched. Great! But the value only emerges when residents actually use the service, when they save time, and when case workers experience a smoother workflow. A new feature may feel like an obvious improvement, but without metrics, we don’t know if it actually helps users.

Start where you are

The most important thing is to get started.

Start by making sure you’re measuring the right things. Not just traffic, but what actually says something about the user experience and your goals. This could include completed applications, downloads, orders, drop-offs, search behavior, or how users navigate between pages.

Once the foundation is in place, it becomes easier to take the next step: analyzing and improving.

Because no one, no matter how skilled an analyst they are, can perform a good analysis of data that doesn’t make sense. The foundation must be solid, clear, and relevant.

When Analysis Becomes Part of Everyday Life

A common problem with analysis is when insights remain confined to reports. Some people pull up numbers, others try to interpret them, and then… maybe something happens. Or maybe not. Not because there’s a lack of will, but because the step from data to action feels too big.

This is where our new analytics assistant can make a real difference—not by replacing web analysts or experts, but by making analytics more accessible to more people.

With the analytics assistant, you can ask questions of your data using simple language, right where editors and communicators are already working. For example, you can get answers to questions like:

“Which pages have had the most visits in the last month?”
“Which pages seem to frustrate visitors?”
“If I only have time to improve three pages this month, which ones should I choose?”

Instead of having to know exactly which reports, filters, and metrics are required, the assistant helps you interpret your question, retrieve the right data, and suggest next steps.

From Numbers to Insights and Action

The goal of the analysis is achieved when you begin to understand what the numbers mean and what you should do with them.

• Does a page have a high bounce rate? That could be a sign that visitors aren’t finding what they’re looking for.
• Does a guide have a lot of repeat page views? Then the content might need to be clearer.
• Are many visitors not navigating away from an important page? This could either be exactly as planned or a sign that something needs to be improved.

Create a feedback loop

Publish. Measure. Understand. Improve. Repeat.

With a feedback loop, you can continuously improve content, structure, and flow based on how users actually behave—not on guesswork, but on facts. It becomes a natural way to incorporate this approach into your daily work.

Analysis doesn’t have to be complicated

The future of analytics isn’t about more reports just for the sake of reports. It’s about making data understandable, actionable, and relevant to day-to-day work.

When analytics becomes more accessible to editors, communicators, and decision-makers, it becomes easier to make better decisions. Because it’s only when data leads to insights, and insights lead to action, that it makes a real difference.