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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for Multistep Checkout: step funnel as a dashboard

Multistep Checkout splits the WooCommerce checkout into steps and the orders that complete still land in wc_orders with date_created_gmt, status, and total. SleekView Charts reads those rows alongside session data and builds a dashboard with completion KPIs, daily checkout trends, status donuts, and AOV trend lines.

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SleekView Charts dashboard for Multistep Checkout for WooCommerce

Read your multistep checkout as charts, not a settings screen

Multistep Checkout by SilkyPress splits the existing WooCommerce checkout into configurable steps using the same checkout fields, validation, and processing under the hood. Orders that make it through still land in wc_orders with status, total_amount, currency, customer_id, and date_created_gmt. Pending carts sit in wc_sessions until the customer either completes or abandons. The plugin's settings screen owns the step layout; reading whether the new layout actually converts is left to GA or an export.

SleekView Charts reads the same WooCommerce order and session tables and turns them into chart cards on a single dashboard. A Number card counting completed orders for the period, a Donut splitting orders by status to surface failed and pending check-outs, a Bar of average order value per day to track whether step changes shift basket size, and an Area chart of daily completed orders to see the conversion trend after enabling multistep.

This is not session-by-session funnel tracking; that lives in your analytics tool. SleekView Charts focuses on the data WordPress already owns: completed orders in wc_orders, pending sessions in wc_sessions, and the basket totals attached to each. The reading layer makes it easy to compare completion rates and AOV before and after enabling multistep, by date range, by currency, or by status, without opening a single order screen.

Workflow

From wc_orders to a checkout dashboard in four steps

1

Point SleekView at WooCommerce

Add a SleekView data source for wc_orders and wc_sessions. SleekView detects HPOS automatically and falls back to shop_order posts on legacy stores with no extra config.
2

Switch the view to Charts

Flip the saved view from Table to Charts. SleekView opens a blank dashboard ready for cards grouped by order status, date_created_gmt, customer_id, or total_amount.
3

Add checkout chart cards

Pick a chart type, a grouping column, and an aggregation. Cards can compare completed-order volume and AOV across the period before and after enabling multistep checkout to gauge real impact.
4

Save and share the dashboard

Save the chart view, scope it per role for marketing or owners, and optionally embed the dashboard on a frontend page so stakeholders read checkout performance without WordPress admin access.

Sample dashboard

Charts you can build from checkout data

Four cards that turn wc_orders and wc_sessions into a working checkout-conversion dashboard inside WordPress.
Number · Default

Completed orders this period

A single big-number KPI counting orders in wc_orders with status completed or processing for the selected period, with the previous period underneath for context to gauge the conversion change after a step layout change.
Count(id)
Pie · Donut

Orders by status

A donut split across processing, completed, on-hold, failed, and cancelled using the status column on wc_orders, useful for surfacing failed checkouts that may indicate friction inside a specific step.
Count group by status
Bar · Default

Average order value per day

A daily bar of average total_amount per order from wc_orders, useful for spotting whether reorganising checkout steps shifts basket size up or down across the test window.
Average(total_amount) group by date_created_gmt
Area · Gradient

Daily completed checkouts

A gradient area chart of completed orders per day from wc_orders, useful for seeing the conversion trend after enabling multistep checkout or changing the order of step fields.
Count(id) group by date_created_gmt

Comparison

Default checkout reporting vs SleekView Charts

Default WooCommerce reporting

  • Default WooCommerce reports do not separate completion trend before and after a step layout change
  • No saved dashboard combining completed orders, failed orders, and AOV on one screen
  • No frontend embed of conversion KPIs for stakeholders without admin access
  • No saved per-role views for marketing, owners, or conversion specialists
  • Comparing two date ranges side by side usually means manual CSV exports

SleekView Charts

  • Chart cards built directly from wc_orders and wc_sessions
  • Mix Number, Pie, Bar, Line, and Area cards on a single checkout dashboard
  • Group by status, currency, customer, or date for any cut of the order data
  • Saved chart views scoped per role for marketing, owners, or CRO specialists
  • Queries hit existing HPOS indexes on id, status, and date_created_gmt for speed

Features

What SleekView Charts gives you for Multistep Checkout for WooCommerce

Real chart cards on checkout data

Number, Pie, Bar, Line, Area, Radar, and Radial cards built from the wc_orders and wc_sessions data WooCommerce already collects on every checkout attempt.

Works with HPOS and legacy

SleekView detects HPOS and reads wc_orders directly. On legacy stores it falls back to the shop_order post type and postmeta with no config change.

Compare before and after

Date-range comparison built into every card makes it easy to compare conversion and AOV between the period before and after enabling multistep checkout.

Audience

Who builds multistep checkout dashboards with SleekView

Marketing and CRO teams

Watch completed orders, failed orders, and AOV after each step layout change to measure whether the new checkout actually moves the needle.

Owners and operators

Track the completed-orders KPI and the daily area chart to see the impact of checkout changes on revenue at a single glance.

Operations teams

Read the order-status donut to spot bumps in failed and on-hold orders that may correlate with broken validation or new required step fields.

The bigger picture

Step changes need a real conversion dashboard

Multistep Checkout reorganises the existing WooCommerce checkout into steps, which means the data it produces is the same WooCommerce data: orders in wc_orders, sessions in wc_sessions. The question after enabling multistep is always whether it actually converts better than the long-form layout. The default WooCommerce reports answer that across separate screens for revenue, orders, and products, so comparing completion trend, failure rate, and average basket between two date ranges usually means a CSV export.

SleekView Charts reads the same WooCommerce tables and turns them into chart cards on one saved dashboard. Marketing watches completed orders alongside failed orders and AOV. Owners track the daily area chart against the date the layout changed.

Operations spots failed-order bumps that may point to a broken step. Multistep Checkout still owns the step layout and the form behaviour; SleekView Charts adds the reading layer that makes the conversion impact measurable.

Questions

Common questions about SleekView Charts for Multistep Checkout for WooCommerce

No. SleekView Charts reads completed and failed orders from wc_orders plus pending sessions from wc_sessions. True per-step event funnels need a frontend analytics tool. SleekView focuses on the conversion outcome and AOV that WordPress itself records, which is what most teams need to gauge a layout change.

 

Every chart card supports date-range comparison. Set the after window to the days after multistep launched, the before window to the equivalent period prior, and SleekView shows both lines or both bars on the same card for direct visual comparison.

 

Yes. SleekView detects HPOS and reads wc_orders, wc_order_addresses, and wc_orders_meta directly. On legacy stores it falls back to the shop_order post type and postmeta with no config change.

 

Yes. The status column on wc_orders captures failed, cancelled, on-hold, processing, and completed orders. A donut on status surfaces failure spikes that may point to validation friction in a step.

 

Partially. wc_sessions stores active carts that have not yet completed; charting their count over time gives a rough abandonment proxy. For full abandoned-cart analytics, pair SleekView with an abandoned-cart plugin that writes its own logs.

 

Yes. Saved chart views support role-based visibility so marketing reads the conversion dashboard, owners read the revenue KPI, and operations reads the failed-orders donut without sharing every dashboard with every role.

 

Yes. Any saved chart view can be embedded on a frontend page with role-based access, useful for stakeholder pages that need conversion KPIs without giving WordPress admin access.

 

No. Charts read from the order and session tables on dashboard load, not on the checkout page itself. Cards aggregate against existing HPOS indexes on status and date_created_gmt so the checkout flow stays untouched.

 

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