The Sendocki dashboard answers a simple question: how is your store doing right now? It groups about a dozen blocks that cover operations, commercial, and quality — from executive KPI to delivery times via performance by city and by product.Documentation Index
Fetch the complete documentation index at: https://help.sendocki.io/llms.txt
Use this file to discover all available pages before exploring further.

How the dashboard is structured
The dashboard is composed of blocks stacked vertically, from the most executive (Hero KPIs) to the most detailed (lead times, product performance). You can scroll freely or click on a block to zoom in.Main blocks
🎯 Hero KPI
The North Star of your store: delivery rate + delivered cohort revenue. Two figures that sum up everything at a glance.
📊 Period Cards
12 cards with the period’s key counters and amounts: orders created, confirmed, delivered, returned, cancelled, revenue, average basket, WhatsApp.
📈 Daily evolution
Day-by-day chart of orders created, delivered and revenue. Visualizes period trends.
🪜 Pipeline & Order journey
Current distribution of orders by pipeline stage + transition rates between stages (“Confirmed → Shipped: 87%”).
🏙️ Orders by city
Top most active cities, delivery rate per city. Identifies your strong zones and local issues.
🛍️ Product performance
Top selling products, return rate per product. Identifies your best-sellers and problem products.
⏱️ Lead times
Average delays between stages: creation → confirmation, confirmation → shipping, shipping → delivery. Measures your operational efficiency.
💰 Revenue cascade
From created revenue to net delivered revenue (delivered revenue minus return costs). Understand where your revenue dissipates.
👥 Customer segmentation
Distribution of your base by segment (Top buyers, Loyal, New, etc.). See Customer segmentation.
🧑💼 Agent performance
For call center teams: conversion quality and action volume per agent. Identify your best elements.
⚠️ Quality banner
Alerts if your configuration is incomplete (unmapped stages, missing reasons). This makes your KPIs partially incomplete — to fix as a priority.
The 2 modes: Transition vs Creation
The dashboard has a toggle that changes the meaning of several KPIs: Transition mode or Creation mode.| Mode | How a figure reads |
|---|---|
| Transition (default) | Counts by period event — e.g. “320 orders delivered during the period” (regardless of their creation date) |
| Creation | Counts by creation cohort — e.g. “320 orders created during the period that were delivered (at some point)” |
For 90% of your daily use, the Transition mode is what you want: “how many I delivered today”. The Creation mode is useful to analyze the performance of a specific cohort over the long term (“how many of my January orders ended up delivered?”).
Choose the analysis period
At the top of the dashboard, you choose the period on which all KPIs apply:- Today
- Yesterday
- This week / Last week
- This month / Last month
- Custom range (date picker)

Trend indicators
Each KPI displays a trend pill compared to the equivalent previous period:- 🟢 +X% — improvement vs previous period
- 🔴 -X% — degradation vs previous period
- ⚪ = — no significant change
- ⚫ No history — not enough data to compare
Visibility modes per role
Depending on the user’s role, some financial KPIs (revenue, margin, average basket) are hidden:| Role | Visible financial KPIs |
|---|---|
| Owner | ✅ All |
| Manager | ✅ All |
| Confirmation agent | ❌ Hidden |
| Delivery agent | ❌ Hidden |
| Custom | ⚙️ According to your configuration |
Behaviors when a KPI is incomplete
You may sometimes see badges on certain KPIs:| Badge | Meaning | Action |
|---|---|---|
| Incomplete | Partial data (e.g. pipeline stage not configured) | Go to Pipeline → link missing stages |
| Restricted | You don’t have permission to see this KPI | See with your Manager |
| To configure | A stage or parameter is missing | Follow the link to configuration |
| Trend unavailable | Not enough data in the previous period to compare | Wait a few days of history |
What’s next?
KPI guide
Each indicator explained: what it measures, how to interpret it, what is good or bad
Configure your pipeline
So that all KPIs work correctly
