SleekView Charts for YITH Bulk Product Editing: bulk edit dashboards
Bulk Product Editing stores each bulk job as a ywbpe_job custom post with affected products, field changes, and timestamp meta. SleekView Charts aggregates those records into a dashboard showing job volume, field hot spots, and SKU coverage across the catalog over time.
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Bulk edit activity as a real signal
Bulk Product Editing accelerates catalog maintenance, but the default admin never tells you how often the team uses it or which fields they touch most. Each bulk job stores as a ywbpe_job custom post with affected product ids, field changes, and timestamp in postmeta. The history is queryable, but no admin screen aggregates it into a workload signal or a catalog-coverage view.
SleekView Charts reads wp_posts for the ywbpe_job type and parses the job postmeta directly. Total jobs run this month surfaces as a Number KPI. Top edited fields rank on a Bar so the team sees whether price, stock, or attributes dominate the workload. Distribution of jobs by editor user lays out on a Donut showing which staff drive catalog changes. Daily job volume plots on an Area trend so a pre-sale or supplier-pricing event is visible against background catalog work.
For a catalog with thousands of SKUs and a handful of editors, this dashboard turns invisible catalog maintenance into measurable team capacity and audit trail. Leads see where their team spends time, audits see who changed what, and operations sees the next process to automate.
Workflow
Bulk edit dashboards in four steps
Connect job data
Build activity cards
Save segment dashboards
Drill and export
Sample dashboard
Charts you can build from YITH Bulk Product Editing data
Total bulk jobs this month
Count
Top edited fields
Count
group by edited_field
Jobs per editor
Count
group by post_author
Daily bulk job volume
Count
group by post_date
Comparison
Default Bulk Product Editing admin vs SleekView Charts
Default plugin admin
- Total bulk jobs count not surfaced as a workload KPI
- Top edited fields not ranked across job history
- Jobs per editor distribution not graphed for capacity planning
- Daily activity volume not graphed for audit trails
- Change-history audits require manual SQL on ywbpe_job
SleekView Charts
- Total bulk jobs as one Number workload KPI card
- Top edited fields ranked on a Bar for process insight
- Jobs per editor on a Donut for capacity planning
- Daily volume on an Area for audit and incident reviews
-
ywbpe_jobcustom posts drive every aggregation directly
Features
What SleekView Charts gives you for YITH Bulk Product Editing
Workload KPI
Number card counts bulk jobs run this month so leadership tracks catalog maintenance volume over time. A growing total signals either more catalog work or more efficient teams adopting bulk editing instead of one-by-one product changes.
Field hot spots
Bar chart of top edited fields surfaces where the team spends time. Operations identifies the next process worth automating with a sync, an import script, or a dedicated tool instead of bulk-editing the same field manually month after month.
Editor capacity
Donut chart of jobs per editor shows team workload distribution. Capacity planning gets evidence rather than guesses and concentration risk surfaces before the catalog stops moving when one person is on vacation or transitions out of the role.
Audience
Teams getting clarity from Bulk Product Editing data
Operations
Top edited fields Bar identifies the next process to automate. Repetitive price syncs or attribute fixes become candidates for an integration once the chart shows how often the team runs them by hand each month.
Audit
Daily job volume Area against editor Donut provides a clean change-history audit trail. Compliance reviews and incident retros pull from the same chart instead of digging through ywbpe_job post lists manually after the fact.
Team management
Jobs per editor Donut supports capacity planning and onboarding. Leads see where new team members ramp up and where senior editors carry concentration risk for catalog change throughput in the next quarter.
The bigger picture
Why bulk edit activity is invisible without a dashboard
Bulk editing is the unsung workhorse of any large WooCommerce catalog, and almost nobody can describe how much of it actually runs. YITH stores each job as a ywbpe_job post with editor, fields changed, and timestamp in clean postmeta, but the default admin shows the job list with no aggregation, no ranking, and no workload signal. Leadership cannot tell whether the catalog team is operating efficiently or grinding through manual changes that should be automated.
Audits cannot reconstruct change history without raw SQL. SleekView Charts reads the ywbpe_job posts directly and renders volume, field hot spots, editor distribution, and daily trend as cards so catalog operations turns into a measurable function instead of invisible work.
Questions
Common questions about SleekView Charts for YITH Bulk Product Editing
Yes. ywbpe_job postmeta stores affected product ids per job. SleekView Charts can pivot from a workload card to a per-product change-count Bar so audits and post-incident reviews quickly identify which SKUs were touched most often in the period under examination.
 Yes. Each job stores its field-change set in postmeta. The top edited fields Bar groups across all jobs, and clicking through to the SleekView job table view exposes the individual change record per job so audits get the full before-and-after context for any specific SKU edit.
 Yes. Scheduled jobs store as ywbpe_job posts with a future scheduled_for meta and a pending status. The dashboard separates pending from completed so operations sees the upcoming workload alongside the historical volume without mixing the two and skewing analysis.
 Yes. Joining ywbpe_job on post_author to wp_users and wp_usermeta gives every card a role filter. Leadership scopes the workload analysis to shop managers, admins, or catalog editors separately when capacity planning needs role-level resolution rather than per-user analysis.
 Yes. Bulk Product Editing supports rollback for completed jobs and stores the rollback action as a separate ywbpe_job entry tied to the original. The dashboard separates net-effective jobs from rollback pairs so workload reporting doesn't double-count efforts that were ultimately reverted.
 Yes. A coverage chart computes the share of SKUs touched by at least one bulk job in the period. Leadership sees whether catalog maintenance reaches the long tail or concentrates only on top SKUs, which guides decisions about scheduled maintenance and audit cadence.
 Yes. In multisite catalogs, ywbpe_job posts live in each site's posts table. The dashboard scopes to the current site by default and can union across sites when the question requires a network-wide workload view across multiple connected stores or brand portfolios.
 Yes. Every chart card pairs with a SleekView table view containing the underlying ywbpe_job records and their change meta. Filter to any editor, field, or date range and export to CSV for an audit package or compliance handoff without writing a custom query.
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