> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ones1ght.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboard

> A BI dashboard that shows your store's location-to-purchase conversion at a glance.

## Overview

The **Dashboard** is the first screen you see after signing in; its page title is "Overview".
It brings together, on a single screen, how much your store's visitor location data actually turns into purchases.
Use the **store filter** and **month filter** at the top to choose the store and period you want to view.

> [!NOTE]
>
> This page is visible to every member of your organization (Owner, Manager, and Member).

## Layout

> **North Star metric**
>
> Highlights your location-to-purchase conversion rate and its change versus the prior period.

> **Location-to-sales funnel**
>
> The OneS1ght signature funnel marks stages with large drop-off using a ▼ indicator.

> **Segment × behavior matrix**
>
> Compares dwell, conversion, and basket size by segment using UWB identification.

> **Agent policy ROI tracking**
>
> Tracks performance improvement (lift %) before and after a policy is applied.

### What each area shows

| Area | Contents |
| - | - |
| North Star metric | Location-to-purchase conversion rate (key metric) and its change |
| Location-to-sales funnel | Stage-by-stage conversion from visit to dwell to purchase, with large drop-off stages highlighted |
| Segment × behavior matrix | Segment / average dwell / zone CVR / basket size / key insight |
| Agent policy ROI tracking | Before→After comparison per policy and lift % |
| Per-store status · Agent alerts table | Conversion badge / sales trend / Agent alerts by store |

## Going deeper

The **"why? →"** link next to each metric takes you to root-cause analysis and execution screens.

> **[Analytics / Actions](/en/console/insight/analytics)**
>
> Analyze the cause of a metric in natural language and receive policy recommendations.

> **[Action Agents](/en/console/agent/action-agents)**
>
> Register a recommended policy as a rule and run it automatically.


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