When a website is new or still in its early months, the amount of visit data available is usually small, which makes it tempting to either ignore the numbers entirely or read too much into every single session. The useful middle ground is to treat visit data as a set of clues about where your content might fall short, while accepting that you will need more traffic before any single pattern becomes reliable. Most analytics tools that come with common hosting platforms or content management systems already track the basics you need, such as which pages people land on, how long they stay, and where they leave.
A practical first step is to look at which pages have the shortest average time on page or the highest exit rates. If someone lands on a page and leaves within a few seconds, one reasonable explanation is that the page did not contain the information they expected to find there. This does not prove a gap on its own, especially when you only have a handful of visits, but if several pages show the same pattern over a few weeks, it is worth reviewing whether the page title or navigation label is promising something the page content does not actually deliver.
Another useful signal comes from any internal search function or from the questions people send through a contact form. When visitors type a search term into your site's own search box and get no results, or when they ask the same question through a form that your existing pages should have answered, those are direct indications of information gaps. You can collect these over time and use them as a priority list for new content or for reorganizing what you already have.
One thing to keep in mind with a first website is that low traffic means low confidence. A single visitor who bounces from a page does not tell you much, and even a dozen visits may not be enough to distinguish a real problem from random variation. Rather than making changes after every small fluctuation, it helps to set a simple threshold for yourself, such as waiting until a page has received at least a few dozen visits before you treat its metrics as a signal worth acting on. This keeps you from redesigning pages based on noise while still letting you respond when a genuine pattern starts to appear.