> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataframer.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Dashboards & Metrics
> Build custom dashboards over your journeys, users, and signals
The [Journeys](/journeys/overview) page is for looking at one journey at a time. Dashboards are the aggregate view: counts, trends, funnels, and timings across all of them.
## Widgets
A dashboard is a company-level board of widgets. Each widget is one chart or tile, and comes in one of five kinds:
| Kind | What it shows |
| -------------- | ------------------------------------------------------------------------------------------------------ |
| **Count** | A single number: how many journeys, or how many users, match a filter |
| **Series** | The same count, as a trend over time |
| **Funnel** | An ordered sequence of steps, checked per journey: did this journey hit step 1, then step 2, in order? |
| **Cycle time** | How long it typically takes to get from one event to another (median, p90, or average) |
| **Stock** | Pre-built project metrics: trace volume, LLM cost, average latency, error rate |
## Building a filter with Selectors
Count, Series, and Funnel widgets are driven by a **Selector**: a query builder over your signal events and properties, no code required. Point it at an event name, add property filters, and the widget updates.
## Funnels and ROI
A funnel widget can carry a value model alongside its steps:
* **Value per completion**: the dollar value of a journey that completes the full funnel
* **Cost per journey**: the average cost (for example, LLM spend) per journey that enters step 1
Together these turn a funnel from "how many people got through" into "was this worth it."
Dashboards are a UI-only feature today, there's no public API or SDK access yet.
## Next steps
Browse the individual journeys behind these numbers