A trend catches your eye and you want to understand what's driving it. You can now draw directly on any chart in Insights to show the AI exactly what you mean: circle a spike, highlight a bar, or lasso a region, and the agent responds to precisely what you've indicated.

The Explain feature is now available across Insights, giving you a way to give the AI visual context rather than describing what you mean in text.

On a dashboard:

In a workbook:

Your forward Occupancy is tracking ahead of the comp set. Now you can see whether that demand is building earlier in the booking window or arriving at the same time as everyone else. Lead time mix is now available in Demand360, showing how room nights are distributed across booking windows for your property and your competitive set — so you can tell whether your position reflects a structural advantage or just shared market timing.

The lead time data lives in the Demand360 topic and a new jump start tile has been added to the Demand360 topic page. For a full walkthrough of the data and how to build the visualization from the jump start, see our help desk article: Lead Time in Demand360.

Lead time arrives as measures per bucket, not as a filterable dimension — so it works differently from filters like Segment or Channel. For a full explanation and step-by-step setup guide, see our help desk article: Lead Time in Demand360.

This has been one of the most requested features in Insights, and today it's here. You're reviewing your dashboard and a segment is running ahead of pace. Instead of scrolling to the top to apply a filter manually, you click the segment directly. Every compatible tile updates around it — you stay in the flow of your analysis without touching the filter bar.

Cross-filtering is off by default on dashboards you own. To turn it on: open your dashboard, select , toggle on, and save.

All FLYR templates are already configured and ready to go, with two exceptions: Portfolio Overview (support coming in the next few weeks) and Daily Report.

Cross-filtering works automatically on dashboards built on a single topic. On dashboards that bring together data from more than one topic, some light configuration is needed. Read the full guide: Cross-Filtering in Insights for a breakdown of what works automatically and how to configure cross-filtering on your other dashboards.

When you set up a scheduled delivery in Insights, you can now set the query timezone independently of when the report fires. If you want "Yesterday" to resolve at midnight in your property's timezone rather than your own, you can set that directly in the delivery settings.

This completes the timezone control we mentioned in our original release. The dashboard picker has been live since May. Now your schedules match.

You can now drill into all data within a dashboard tile, including values sourced via XLOOKUP. Previously, if a tile pulled in data from a second topic via XLOOKUP, that data was locked out of drilling. Only the host topic's data was accessible.

A common example: a Bookings tab showing OTB, with pickup data pulling in from a second tab via XLOOKUP. Before, drilling that tile only surfaced Bookings-level detail. Now you can drill into the pickup data the same way, directly from the same tile, without switching tabs.

When you drill into a value that uses XLOOKUP, you'll always see the underlying source data, not any calculation applied on top of it. For example, if a tile shows yesterday's unit pickup multiplied by a factor, drilling will surface the original pickup figure. The drill takes you back to the origin, which is exactly what you'd want when interrogating the data behind the number.

You can now see bookings that were created and cancelled on the same day in your pickup and booking data.

Previously, these bookings resolved to zero and weren't displayed as individual entries. They now appear as separate Created and Cancelled rows, giving you full visibility into same-day cancellation activity.

Every dashboard in Insights now has the Dashboard Agent switched on. You no longer need to enable it manually. Open any dashboard and start asking questions straight away.

When we launched the Dashboard Agent in January, you could choose to turn it on dashboard by dashboard. Based on the strong response from users, we are enabling it by default across all dashboards.

New to the Dashboard Agent? Read our original release post for a full overview of what it can do.

If you'd prefer to disable the agent on a specific dashboard you own:

The Dashboard Agent is currently available to Creator-level users only.

If you've ever checked "yesterday's" pickup numbers late in the evening and noticed the totals looked unexpectedly low, or shared a dashboard with a colleague and found you were both seeing slightly different figures, timezone was likely the reason. You can now set the timezone directly on any Insights dashboard, so every date filter reflects exactly the calendar day you intend.

Date filters like "Yesterday", "This Month", and "Last 7 Days" don't use a fixed calendar date. They calculate dynamically based on what "today" is. Until now, "today" was anchored to your own local timezone. For most situations this works fine, but it means that near day boundaries, or when managing properties in a different timezone from where you work, those filters can quietly resolve to a different day than you intended.

With the timezone picker, you can anchor any dashboard to the timezone that makes sense for your properties, your team, or whoever you're sharing it with.

Timezone control for scheduled deliveries and downloads is coming soon, so your exported reports will reflect the same timezone you've set here.

For more on how timezones work with date filters in Insights, see our help desk article.

The Demand360 data already in Insights just got richer. You can now compare Occupancy, ADR, RevPAR, and KPI indexes against the same period last year, giving you a directional benchmark to understand how current forward demand is tracking, whether you're ahead or behind pace, and where there may be gaps in performance relative to your comp set.

STLY in Demand360 is pre-set to the equivalent period 12 months ago, so no comparison period toggle is needed. The measure is directional by design: because of how Amadeus structures the historical data, it is best suited to year-over-year trend analysis rather than shorter-window comparisons like week-over-week.

Coverage depends on the historical data Amadeus holds for your property. For a full explanation of how STLY works and what to expect, see our help desk article: Understanding STLY in Demand360

You can now highlight and copy a selection of table data in Insights and paste it directly into Excel, Google Sheets, or a document. No full export needed for quick, targeted grabs.

When pasting into a spreadsheet, data lands in cells exactly as expected. When pasting into a document or text editor, values will appear as plain text rather than a structured table.