As we've continued updating our standard dashboard templates using the enhanced dashboard building user interface, we've been looking not just at how each dashboard looks, but at how clearly it guides you through an analysis.

That led us to revisit the existing Price Adoption Report. The underlying purpose hasn't fundamentally changed, but there was a clear opportunity to make the analysis easier to follow and provide a more structured way to move from overall pricing adoption into the properties, periods, and override behaviour that warrant further attention.

The Pricing Adoption & Override Diagnostics dashboard now guides you through four connected areas of analysis:

We've also introduced more flexible timeframe analysis, revised visualisations, clearer section descriptions, and supporting guidance so the dashboard follows a more deliberate analytical path.

Our goal with standard dashboards is to give you a clear analytical journey, rather than simply a collection of charts.

The refreshed dashboard now starts with the overarching question of how consistently pricing recommendations are being adopted and progressively breaks it down: understand the overall trend, identify which properties stand out, explore when and where overrides are occurring, and then investigate whether that behaviour is concentrated among particular users, properties, or combinations of both.

This makes it easier to move from a high-level adoption signal into the specific areas that deserve further investigation, while preserving the core purpose of the original report.

You can access the updated Pricing Adoption & Override Diagnostics dashboard using the same link as the previous Price Adoption Report.

Your owner pack or month-end report already exists in Excel, built with the exact layout, formatting, and inputs your property needs. Every period, you pull the latest numbers from Insights, paste them in, and rebuild the parts that changed. You can now bring that same file into an Insights workbook as a spreadsheet tab, keep it exactly as formatted, and connect the sheets that came from Insights to your live queries, so you only paste in what still needs it.

This isn't about building new reports from scratch. It's about the report or tracker you already have, the one with the layout your GM or owners expect, the inputs your property has always tracked by hand. Bring it in as-is, connect the pieces that came from Insights to live queries, and stop re-pasting them every period. Anything you still want to enter manually, you still can, exactly as before, just less of it.

Data you type or paste into a spreadsheet tab lives only within that tab. It can't be queried or referenced elsewhere in Insights, and it doesn't feed back into other dashboards or query tabs. Spreadsheet tabs also don't support in-sheet pivot tables or charts. For those, build in a query tab and reference the results.

For full details, including how to connect queries, use formulas, and configure dashboard behavior, read our help desk article: Spreadsheet Tabs in Insights

You're about to walk a stakeholder through a dashboard in a meeting, and you want the story to be the only thing on screen. You can now expand any dashboard or workbook to full screen, hiding your browser chrome and the side navigation panel so there's nothing between your audience and the data.

Full screen isn't yet available while editing a dashboard, only while viewing one. It's fully supported for both viewing and editing workbooks.

As we've continued updating our standard dashboard templates using the enhanced dashboard building user interface, we've been looking not just at how each dashboard looks, but at how clearly it guides you through an analysis.

That led us to revisit the existing STR report. The underlying analysis hasn't fundamentally changed, but there was a clear opportunity to give the different types of STR benchmarking their own purpose and make it easier to move from a high-level question into the areas that need attention.

STR benchmarking is now split into two dedicated reports:

We've also revised several queries, visualisations, section descriptions, and supporting guidance so each report follows a more deliberate analytical path.

Our goal with standard dashboards is to give you a clear analytical journey, rather than simply a collection of charts.

Each report now starts with an overarching business question and progressively breaks it down: establish the overall position, identify the important exceptions, understand what changed, and then narrow the analysis to the periods or areas that deserve further investigation.

Separating the two STR reports allows each dashboard to stay focused on the question it is designed to answer, while making it clearer where to go next as your analysis develops.

Before you ask the AI Agent to build something new, it's worth asking a different question first: do we already have a dashboard for this? Now you can ask the Agent directly, describe the business question or analysis you're after, and it will search your existing dashboards and workbooks to see if a strong answer already exists.

You can now ask the AI Agent whether a dashboard or workbook already covers what you're looking for, in your own words, describing the business question or the kind of analysis you need. This happens in the Agent's chat, not the global search bar, so you can go back and forth: refine what you're asking, add detail, or clarify if the first result isn't quite it. The Agent searches your existing content and, if a strong match exists, surfaces it directly. Click through and you're taken straight into the dashboard, no rebuilding required.

This ranking looks at several signals to decide what's relevant:

This is separate from the global Search bar at the top of Insights, which is still the fastest way to jump straight to a dashboard when you already know roughly what you're looking for. Asking the Agent is a different, more conversational way to discover content: you describe a business question rather than a title or filter, and you can go back and forth with the Agent if the first answer isn't quite right.

This is a two-way opportunity. The same details that make a dashboard easy for a colleague to find, like a clear title, a description of what it covers, and well-labeled tiles, are exactly what the Agent uses to find it too. The Agent is, in effect, another user searching your library. If you've made a dashboard easy for a person to find, you've already made it easy for the Agent to find as well.

If you build or maintain dashboards, a few small habits go a long way toward making your work discoverable when a teammate asks the Agent to find it:

The more of these you put in place, the more likely your existing work gets surfaced instead of duplicated.

For a closer look at how to structure descriptions and titles well, read our help desk article: Making Your Dashboards Discoverable to the AI Agent

We've rebuilt how dashboards work in Insights, from the ground up. It's a more capable way to build: more control over how your dashboard looks, and more structure to keep it organized as it grows.

At the core of this is a simple idea: every tile now lives inside a named section, called a container, instead of floating loose on the page. Think of it less like placing tiles on a canvas and more like designing a layout: sections you can size, align, and rearrange as deliberately as a page in a document.

That structure is what makes the rest of this update possible, including filters that live exactly where they're needed and dashboards that stay organized and responsive as you add pages, filters, and interactivity.

The Detailed Performance Report, Detailed Lead Time Dashboard, Pick-up Overview Dashboard, Daily Report, Forecast Accuracy Report, and User Forecast Accuracy Report are live now with the full updated experience. More dashboards are getting the same treatment in the coming weeks.

Existing dashboards keep working exactly as they did. Nothing breaks, and no action is required on your part. If you want to restructure a custom dashboard to take advantage of the new layout yourself, simply click on File > Upgrade Layout to begin.

For full details, read our help desk articles:

Your occupancy for a future stay date is building well, and you want to know whether that pace is likely to hold. Pick-up is now available in Demand360, showing how bookings are accumulating for your property and your comp set at each stage of the booking window, from four-plus weeks out through the final week.

This is the final piece of Demand360 in Insights. Occupancy, ADR, and RevPAR show where you stand today. Lead Time shows when bookings are landing. Same Time Last Year shows how this year compares to last. Pick-up ties them together: how demand is building, so you can read momentum before it shows up in your numbers.

Data refreshes about twice a week, so pick-up comparisons use the most recent available date rather than a fixed daily interval. For a full breakdown of what's included, see our help desk article: Benchmarking (Demand360) Pick-up Topic. For more on how Demand360 data works and common questions, see FAQ: Demand360 Data in Insights.

Setting Min/Max on your Season and Event Price Settings just got more flexible! You could already define Min/Max by day of the week and by inventory group. Now you can apply it selectively, only where a day or group needs a different value, instead of having to provide a minimum and maximum everywhere.

-Season and Event Min/Max fields show their effective value in a lighter font, so you can see at a glance what's inherited versus what you have explicitly set. Leave a field untouched and it keeps tracking your current Default or Season automatically, instead of locking in a static copy of it. If you update your Default later, it flows through without needing to edit each Season or Event individually. Learn more about Price Settings here.

You can now create Calendar Events directly from the Calendar, whether it's a conference, an airport closure or a major concert.

📚 Please check out a few, key knowledge center articles to learn more!

Group breakeven now factors in profit, not just revenue.

A strong ancillary contribution can make a group profitable well before it breaks even on revenue. The new KPI reflects that directly, giving you a clearer read on how much room you actually have to negotiate, so you know when to hold firm on rate and when ancillary contribution already covers the gap.

- a new KPI showing the room rate at which a group's total incremental profit turns positive, based on displaced accommodation profit, displaced ancillary profit, and the group's own ancillary profit.

📚 Check out a few, key knowledge center articles to learn more!