See what the measure means.
Keep the population, reporting window, definition, and target together. Published shipping standards, warehouse stock, and made-to-order work have distinct measures and evidence.
Analytics & KPIsGet a better
Get a better
read on your day.
Read performance, then open the records behind it. Keep the definition, period, target, and source coverage with each measure.
A result.
With somewhere to look.
Shipping behind its published standard. Customers returning with the same issue. Quote requests still waiting. Follow the measure into the evidence before choosing a fix.
Fulfillment · example completed periodRead the result.
Example dataRead the result.
Inspect the records.
Warehouse · one business day90%
90 of 100 lines shipped in full by their policy deadline
Inspect the late lines
| Order line | Due | Observed shipment |
|---|---|---|
| NW-204 / 1 | Monday | Tuesday · late |
| NW-208 / 2 | Tuesday | Thursday · late |
Keep the source window and promise basis with the result. A policy deadline does not predict when an order will ship.
Ask Letra about this result.The selected KPI and filters stay with the question. Follow the supporting records, and keep a missing source or incomplete period visible.
Current app workflow with fictional records. Features depend on connected sources and workspace access.
Follow the result to its records.
Inspect the orders, fulfillment records, conversations, or quote requests behind a result. Narrow the supported scope, follow a source link, or ask Letra about the selection.
Know when the result is ready.
See source freshness and coverage, settled periods, and incomplete measures. Measured values, proxies, and unavailable results remain distinct; a gap does not become zero.
Questions,
answered.
Can we use our existing KPIs?
We’ll map supported definitions, targets, calendars, and sources. Measures and filters depend on the data available in your workspace.
Is a shipping deadline a delivery forecast?
No. A due date under a published operating policy is a standard to measure against. A source’s actual shipment and carrier delivery evidence are separate records.
Can I inspect and export the evidence?
Yes, where that measure supports a drill-down. The record view supports search, filtering, source links, and export of its loaded rows; any cap is disclosed.
How does this connect to customer risk?
Customers at stake uses repeat-order rhythms and observed non-reorder rates. It shows historical revenue exposure and evidence limits, without treating every service failure as a proven cause of churn.