What is worth adopting from a Power BI release, and what to ignore

Power BI ships features every month and most will not change your week. A four-question filter for telling the signal from the noise.

Every Power BI release brings a long list of features and most of them will not change your week. Here is how we decide what is worth adopting, using the latest release as the example.

We have written more on this via our Power BI service, and Business Central Runs Your Business. It Should Not Run Your Reports takes a closer look at a related part of the picture.

Power BI ships updates every month, and the temptation is to either chase all of them or ignore the lot. Both are mistakes. A few features in any release meaningfully change how you work. Most are minor, niche, or still in preview and not ready to lean on. The trick is having a filter, so you can tell the difference in five minutes rather than reading the whole feature summary and adopting nothing.

We run every release through four questions. The features change each month. The questions do not.

The four questions.

Does it remove a hack? The best new features quietly retire a workaround you have been carrying. If a feature lets you do natively what you used to fake with a measure or a convoluted setup, that is worth adopting, because it removes fragility and maintenance, not just effort.

Does it improve trust or governance? Anything that makes your reporting easier to verify, version, secure or hand over is worth more than anything that just makes it prettier. These features rarely make the highlight reel and almost always pay off.

Does it help the consumer, or only the author? A feature that makes life easier for the person building the report is nice. A feature that makes the report clearer or easier to navigate for the person reading it is better, because that is where adoption is won or lost.

Is it ready? Generally available and preview are not the same thing. Preview features are worth knowing about and worth trialling away from anything important. They are not worth building a board pack on. Check the status before you commit.

Adopt the feature that retires a workaround or earns trust. Skip the one that only looks good in the release notes.

The latest release, run through the filter.

Take a recent monthly update as a worked example. Here is roughly how the four questions sort it.

Visual calculations reaching general availability is a clear yes. It removes a whole category of awkward measures written only to do calculations at the visual level, and it is now ready to rely on. That is the "removes a hack, and it is GA" case.

Exploration perspectives, which let you give report users a focused slice of a large model's fields, is a yes on the consumer question. Anyone navigating a big model benefits, and the benefit lands with the reader, not just the author.

Copilot summaries on reports are worth a careful trial rather than an immediate rollout. The capability is useful, but it generates text that consumers may treat as fact, so it belongs behind the governance gates we have written about before. Useful, but not unsupervised.

Copilot metadata moving into a source-control-friendly structure is the quiet governance win that will not make anyone's highlight reel. If you version your work, it matters, and it is exactly the kind of thing the four questions are designed to surface when the flashier features distract.

The point is not the verdicts. By the time you read this there will be a newer release. The point is the method, which still works on it.

Why the method beats the feature list.

Features date in weeks. A way of deciding does not. If your team runs each release through the same four questions, you adopt the handful of things that move you forward and you let the rest go without guilt or FOMO. You also build a shared sense of what "worth it" means, which is more valuable than any single feature, because it makes the next decision faster.

The cost of chasing everything.

There is a hidden cost to adopting every shiny feature the month it lands. Each one is a new thing to learn, to standardise, to support and to explain to users. Adopt indiscriminately and your estate becomes a museum of half-used capabilities, each added in a burst of enthusiasm and none embedded properly. The four questions are as much about what to leave out as what to take in. Saying no to a feature is a decision, and a healthy one. The teams with the cleanest, most trusted estates are usually the ones most willing to skip things.

Preview features deserve their own discipline. They are a window into where the platform is going, which makes them worth a look, and they are unfinished, which makes them risky to depend on. Trial them somewhere that does not matter. Form a view. Then wait for general availability before you put anything you care about on top of them.

What we would do this quarter.

Next time the release notes land, do not read them looking for excitement. Read them holding the four questions, and write down only the features that pass. Most months that will be a short list, and a short list of things that help is exactly what you want.

If any of this sounds familiar, talk to us about your data.

Related reading

• Your Power BI Report Is Slow. Power BI Is Probably Not The Problem.
• Three jobs, one dashboard, none of them done well
• Power BI or Business Central’s built-in reporting?