> For the complete documentation index, see [llms.txt](https://docs.podplay.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.podplay.app/owners-playbook/analytics/insights-page.md).

# Insights Page

### Overview

The Insights page is the reporting and intelligence experience built into the Dashboard. Open it from the left-hand navigation and start on the Overview.

<figure><img src="/files/G332i6VjGsXvgNYkcqqL" alt=""><figcaption></figcaption></figure>

#### Access by Tier

Depending on the [Club's Tier](https://docs.podplay.app/owners-playbook/the-podplay-system/overview-of-tiers), those with the [Owner role](https://docs.podplay.app/overview/the-dashboard/admin-roles) will have different access on the Insights page.

* Basic(+) tiers without [Analytics+](https://docs.podplay.app/owners-playbook/analytics/analytics+-package) — access to the Overview tab (*coming soon*)
* Basic(+) tiers with [Analytics+](https://docs.podplay.app/owners-playbook/analytics/analytics+-package) — full access to all charts
* Pro or Autonomous(+) tier — full access to all charts

### The five upgrades that matter most

1. In the Dashboard — No additional login and no separate system. Insights lives inside the same space where you perform day-to-day work.
2. Performant — Insights is faster and more responsive than the Tableau workbook it replaces. Filters apply quickly and dashboards render without the wait.
3. Easier to navigate — An Overview tab gives you the KPIs for Club performance at a glance. Deeper dives are organized by theme, and every report is a thumbnail tile with a one-line explanation, so you can find the answer to your question without hunting through a workbook.
4. AI-assisted reporting — Use the built-in AI Assistant to query your data in plain language and produce ad hoc reports on the spot, with no need to request a new dashboard for every question (in `beta mode` ).
5. Intelligence — Ask the AI Assistant how to improve the business and it responds with data-backed suggestions, and shows its work. It reads only your own Insights data, reasons through it, and hands you prioritized, quantified actions (in `beta mode` ).

<figure><img src="/files/VoJa3FDJJGbHhu8Pen7e" alt=""><figcaption></figcaption></figure>

#### The AI is where your data lives

None of this requires pulling your data out of the system it lives in. You have probably tried the workaround: export a few reports, paste them into your preferred ai-agent, and ask. It works until you are reconciling a stale spreadsheet against a chatbot that has no idea how your Club actually runs, then rebuilding the whole thing by hand the next time a question comes up.&#x20;

Insights puts the AI where the data already is: same Dashboard, live numbers, no exporting, and no copy-paste. You ask right where you work, and the Assistant is already reasoning over the real thing.

#### How Insights is organized

Insights opens on an Overview tab, the high-level health check for your Club or Clubs. From there, views are grouped into themes that map to the questions operators actually ask:&#x20;

* Revenue
* Occupancy
* Customers
* Memberships
* Events
* Replays
* Coaching
* Shop / Food & Beverage (`roadmap`)

Each theme is a gallery of charts and tables. Each shows as a thumbnail tile with a short description, so you can see what a report contains before you open it.&#x20;

<img src="/files/OzJvpfN9kiuHcgEG8MdW" alt="" height="287" width="600">

Open one and you get the full interactive view, with filters for date range, location, Member vs. Non-member, granularity, and more, plus a one-click Export ZIP file and the option to add any dashboard to your Favorites. Naming is consistent so you always know what you are looking at:

* DASH: a multi-panel dashboard
* TS: a time series
* HM: a heatmap
* HISTO: a histogram
* CAL: a calendar view
* T: a raw and flat data table you can export for your own analysis

{% hint style="info" %}
**A note on the figures shown**: the illustrations are populated with fake data from a staging environment.
{% endhint %}


---

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