Analyze a month of reviews: what people ask for most
Buyers keep asking for the same small changes, one review at a time. The agent pulls those asks from Ozon and Wildberries into a ranked list with quotes.
Easy · 15 min · once a month
What you get
Customer requests, March — 214 reviews 1. Lid latch — 34 mentions "the lid slips off when carried, I hold it by hand" 2. Sizing in the description — 19 mentions "ordered M, got a kids size, no size chart anywhere" 3. Spare filters — 11 mentions One-off asks (1-2 mentions) go on a separate sheet.
A sample on made-up data — your numbers will be your own.
Who it fits
- Planning next month's backlog, when ideas come out of your head instead of out of what buyers write.
- You need to split a request for something new from a complaint about something broken.
When it won't work
Only a few dozen reviews a month: two requests are not demand yet.
How the agent does it
Set period and products
Nothing to export — the agent reads the reviews itself. Name the categories or SKUs in scope, or it takes everything and blends different products together.
Run the collection
The agent keeps only requests to change the product, merges different wordings of the same ask and sets aside anything mentioned once.
Check the list
Before you take it to the team, have the agent review its own work: which asks it inferred rather than read, and which products are too thin to judge.
What you set
Ozon and Wildberries seller accounts with review access. By hand: the period, the products or categories, and the cut-off below which an ask is a one-off.
What you'll need
Starter prompt
Copy the prompt or open it straight in a chat with the agent.
From the Ozon and Wildberries reviews for [period] collect only product change requests: what is missing, what people ask to add, what they ask to bring back. Do not take complaints about delivery, packaging and support into this list — count them on a separate line and stop there. Group the requests by meaning, not by wording. For each group: frequency, share of all reviews for the period, [3] verbatim quotes, the SKUs where it occurs. Do not turn a one-off wish into a trend: keep groups with fewer than [5] mentions in the "weak signal" section rather than in the main list. Output a table: request, frequency, share, quotes, SKUs.
Open in chatCheck the list of requests. List: — groups with fewer than [5] mentions that you nonetheless placed higher on the list; — requests merged into one group, and the signal you merged them by; — rows where the request is actually a complaint about delivery or support; — quotes from which the request does not read directly but was inferred by you; — SKUs with too few reviews over the period to draw a conclusion from. What you can regroup yourself — show as an "I propose to change" list, leave the decision to me.
A second prompt — the agent uses it to review its own work and show what's left for you.