Find recurring product pain points in reviews

Created by

Signal Lab

Actor

Review Pain Intelligence for Product Teams

Cluster repeated complaints from product reviews and rank actionable pain themes by frequency, severity, and recency.

Try for free

Review Pain Intelligence for Product Teamssignal_lab/review-pain-intelligence

Product

Topic

Opportunity score

Mentions

+6 fields

Input

Review records

product:ExampleCRM+4

rating:1+4

date:2026-09-04+4

text:Support never responds to our tickets.+4

url:https://example.com/reviews/1

Recent trend window:30

Minimum pain mentions:2

Maximum pain clusters:20

Output fields

Product

Topic

Opportunity score

Mentions

Negative share

Average rating

Trend rate

Keywords

Recommendation

Evidence

How it works

Sign up on Apify or log in

The Review Pain Intelligence for Product Teams Actor is ready to run with the inputs already set for "Find recurring product pain points in reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find recurring product pain points in reviews" task

The Review Pain Intelligence for Product Teams Actor will start running based on the input automatically. You can also change all the input fields, like review records, recent trend window, and more, to match your specific use case.

Receive the "Find recurring product pain points in reviews" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product, topic, opportunity score, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Find recurring product pain points in reviews" task via API.