Context
Order Health Dashboard is a reporting functionality that replaces replaces the Failed Order from Elastic.
What does it show?
It shows statistics per Brand and Store levels.
How does it work?
Here's a breakdown of this feature:
Security
The dashboard has a row level security applied - this controls data segmentation.
Data refresh
The data updates live, with a presumed lag of 15 minutes.
Filters
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Store Groups
This filter allows you to select a Store Group which will display data for all of the Stores which sit inside the Store Group. This allows you to quickly filter data down to a set of Stores. You will only see a list of the Store Groups which you have access to within the Management Center
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Store
Store filter allows you to select one Store or particular multiple Stores
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Store Code
Store Code filter allows you to select a Store or multiple Stores by referencing a Brand's internal Store coding system, This will filter down the data just to these set Store(s)
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Timeframe
This one allows you to define the timeframe for which you want to look at the data - it is based on the Orders created at that certain time. By default this is set to 'Last week'. You can either select a predefined option or provide a custom range:
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Comparison
The comparison allows you to define the timeframe for which you want to compare your current data with a comparison period - it is based on the Orders created at a certain time. By default this is set to 'Previous period'. You can either select a predefined option or provide a custom range:
Views
Headline KPIs
- The headline KPIs provides a high-level summary
- The KPIs show the number of Orders, sales value, and and percentage (%) for the period of time and Store(s) selected within the filters
- The KPIs also show the numbers generated for the pervious period of time as defined by the pervious period filter for the time period and Store(s) defined within the filters
- It also shows the delta between the previous and current KPIs
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Total health
The sum of all failed, refunded and cancelled Orders vs total number of Orders for the selected time period -
Failed orders
The sum of all failed Orders vs total number of Orders for the selected time period -
Total refunds
The sum of all refunded Orders vs total number of Orders for the selected time period -
Total Cancelled
The sum of all cancelled Orders vs total number of Orders for the selected time period
Reversed Orders
- In this overview you can see the total percentage of reversed Orders vs their impact to the business. Reversed Orders are defined as cancelled and refunded orders
- You can also see this broken down by number of Orders by cancelled and refunded Orders
- In addition, if you filter by Order Type and Channel, you'll see where they may be issues in a particular flow
- And finally, there's also filter by cancellation reason
Please note: we don't keep data about reasons for refunds.
Trends
The Trends line can also be filtered by Channel or Order Type. You can also view it by different time intervals:
By default the Trend line is set to show as percentage. You can change this to quantity which will show Order count as a bar chart:
Failed Orders
Failed Orders will show as a total percentage of the failed ones impacting the business vs the total number of Orders. This is also the split by error type:
You may filter these charts by Channel or by Order Type:
The error type chart can be drilled down to see a more granular level of detail, like so:
High level overview | Different error reasons | Impacted Order IDs and reasons behind the error |
- You can select a different error reason to update the table of impacted Orders and messages
- You may also return back up the hierarchy level by selecting the pie chart
Failed Orders Trends
Download Data
- You can download the raw data behind the KPIs and charts and graphs based on the filters defined. The data is downloaded in a CSV format
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You may also select a data point to see the raw data in a new pop-up. Apart from that, there's also an option to edit the downloadable data by selecting additional data points of your choice
Data behind the data point Data overview Additional data points and download
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