Investigation Views

Investigation Views are widget-based diagnostic dashboards that visualize raw network data as collected from your LoRaWAN infrastructure. Use them for ad-hoc investigation of signal strength distributions, frequency usage, payload sizes, uplink/downlink activity patterns, geographic data overlays, and more. Unlike the Metrics Dashboard which surfaces computed KPIs and alarm states, Investigation Views present aggregated raw data through interactive charts, tables, gauges, heat maps, and map visualizations.

Predefined views#

The platform ships with several predefined investigation dashboards:

ViewPurpose
Geo-Positioned AnalysisMap-based visualization of traffic density, average spreading factor, signal quality, and join request patterns
LoRa Uplink AnalysisCharts covering uplink-specific measurements — RSSI, SNR, frequency usage, payload sizes, duty cycle
LoRa Infrastructure StressOperational stress indicators — heatmaps, exposure risk gauges, join request patterns, device joining activity
LoRa Downlink AnalysisCharts covering downlink-specific measurements — Tx power, antenna usage, band usage, payload sizes

You can import additional dashboards from the platform’s dashboard catalog at any time.

Adding a new view#

To install an investigation view that is not yet in your sidebar:

  1. Click the + icon next to the Investigation Views label in the sidebar. This opens the management page.
  2. The management page lists currently installed views with columns for Name, Description, Tags, and Actions.
  3. Click Import Dashboard in the top-right corner.
  4. A dialog opens listing available dashboards. Use the Filter results search bar to narrow the list.
  5. Select the dashboard you want and click Select.
  6. The newly imported dashboard appears in both the sidebar and the management table.

Each installed view in the management table has action buttons for settings, editing, and deletion.

Import dashboard dialog

Dashboard layout#

Every investigation view is a full-page grid of widget cards. The page header shows the dashboard title and two global filter dropdowns in the top-right corner.

Dashboard layout showing the widget grid

Each widget card includes:

  • Widget title — the name of the chart or visualization (for example, “Signal Strength Distribution”).
  • Toolbar buttons — refresh, edit (pen icon), expand to full screen, pin/favorite (star icon), and a three-dot menu for additional options.
  • Chart interaction controls — depending on the chart type: zoom in/out, pan, search, home/reset, and a hamburger menu for chart-specific settings.

Global filters#

Two dropdowns at the top of every dashboard control which data all widgets display.

Time window selector#

The time window dropdown sets the time range for every widget on the dashboard simultaneously. Predefined options include:

  • Last 24 hours
  • Last 2 days
  • Last 1 week
  • Last 2 weeks
  • Last 30 days
  • Last 90 days
  • Custom — select a specific start and end time

Changing the time window is useful for observing how network events evolve across different time scales.

Time window selector dropdown

Traffic source filter#

The traffic source dropdown filters data by origin:

OptionDescription
All TrafficData from all sources
Only InternalTraffic from your own devices only
Only ExternalTraffic from external or foreign devices observed by your gateways

This filter is relevant when your integration receives raw gateway traffic (for example, through ChirpStack or The Things Stack), which can distinguish between your own device traffic and external traffic from neighboring LoRaWAN deployments. Filtering to external-only traffic helps you identify noisy surroundings and diagnose interference.

Traffic source filter options

Chart types#

Investigation dashboards use several visualization types depending on the data:

TypeUsed for
Bar chartsDistributions such as signal strength by dBm bucket, frequency usage, payload sizes
Line chartsTime-series data such as uplink traffic or duty cycle utilization over time
GaugesSingle-value risk indicators such as “Network Exposure Risk”
Heat mapsDay-of-week × hour-of-day activity grids showing traffic intensity across the week
TablesTabular data such as unique devices joining, with Dev EUI, join request counts, and Join EUI columns
Map visualizationsSpatial data rendered with hexagonal cells, point markers, and value-range layers