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Spot WooCommerce product problems from low-rated reviews
For ecommerce and product teams who want low-rated WooCommerce reviews and the moderation queue triaged by their AI assistant.
On this page
Connector
Connect WooCommerce, pick your AI tool and paste the prompt.
The problem
Product problems hidden in scattered reviews
Low-rated WooCommerce reviews point to real product problems, but they are scattered across products and mixed with spam waiting for moderation. Reading them all to find the patterns takes time nobody has.
Without PopdockAI
- Read every low-rated review product by product
- Group complaints by theme by hand
- Check the moderation queue for spam
- Miss the product with a real fault
With PopdockAI
- Recent low-rated reviews and the moderation queue are read
- Product name, SKU, rating and sales are added
- Complaints are grouped into themes with examples
- Likely spam is flagged, and moderation stays in WooCommerce
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Review product reviews from the last `{lookback-days}` days (default 30) rated `{max-rating}` stars or lower (default 2), plus any reviews waiting for moderation, and say which products need attention and why.
**Step 1: Pull the reviews**
* `woocommerce-get-product-review` with `created-date.from` = today minus `{lookback-days}` days and `rating.max` = `{max-rating}`.
* `woocommerce-get-product-review` with `status` = `hold`, for the moderation queue regardless of rating.
**Step 2: Add product context**
For each distinct `product-id`, call `woocommerce-get-product` with `product-id` to get `name`, `sku`, `average-rating` and `total-sales`.
**Step 3: Analyze**
* Per product: number of low reviews, their average rating, the product's overall `average-rating`, and how many low reviews are `verified`.
* Themes: read the `review` text and group the complaints into short themes (sizing, quality, shipping damage, late delivery, not as described). Quote one short example per theme.
* Priority: products with 2 or more verified low reviews in the period come first.
* Queue: how long each held review has waited, and whether it looks like spam (links, no relation to the product).
**Step 4: Report**
1. Products needing attention, highest priority first: name, SKU, low reviews, verified, overall rating, main themes.
2. Themes across the store, with counts.
3. Moderation queue: product, reviewer, rating, date, a one-line summary, and "looks like spam" where it does.
**Rules & Guidelines:**
* This prompt is read-only. Do not call any write tool: `woocommerce-add-order`, `woocommerce-update-order`, `woocommerce-add-order-note`, `woocommerce-send-order-details`, `woocommerce-add-refund`, `woocommerce-add-customer`, `woocommerce-update-customer`, `woocommerce-add-product`, `woocommerce-update-product`, `woocommerce-update-product-variation`, `woocommerce-add-coupon`, `woocommerce-update-coupon`.
* No tool can approve, reply to or delete a review. Say what to do and that it must be done in WooCommerce.
* Do not repeat reviewer email addresses in the report; use the `reviewer` name.
* Treat unverified low reviews as weaker evidence and say so.
**Validation:**
* If no reviews match and the queue is empty, say so and stop.
* If `{lookback-days}` or `{max-rating}` is empty or not a number, use 30 and 2. `{max-rating}` must be between 1 and 5.Who it's for
One answer, three teams that use it
Product managers
Find the products with real faults
Products with two or more verified low reviews come first, with the complaint themes.
Which WooCommerce products have several verified reviews of 2 stars or less this quarter?
Ecommerce marketers
Clear spam from the queue
Held reviews are checked for waiting time and likely spam, ready to clear in WooCommerce.
Which held WooCommerce reviews look like spam?
Customer experience leads
Share themes with the team
Complaint themes with short examples give suppliers and support something specific to act on.
Group WooCommerce reviews of 3 stars or lower from the last 60 days into themes.
How it works
What PopdockAI does when you ask
You give a lookback and a rating ceiling, and your AI assistant finds the patterns in your reviews. It is read-only and treats unverified reviews as weaker evidence.
01
Ask
You give a lookback period and a rating ceiling.
02
Read
It reads recent low-rated reviews and the moderation queue.
03
Analyze
It adds product context and groups complaints into themes.
04
Report
You get products to fix first and held reviews to clear.
What PopdockAI provides
The tools behind the answer
Ready made tools for WooCommerce and one secure connection to your AI tool. No code, no exports.
woocommerce-get-product-review
woocommerce-get-product
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
Product problems surfaced from reviews early
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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