Workflow
Review Aggregation & Insight Pipeline
Turn scattered reviews into a monthly product-feedback report.
1 min readupdated 2026-07-04
/ quick answer
Pull reviews from every source, cluster by theme, quantify sentiment, and ship a monthly digest. Turn scattered reviews into a monthly product-feedback report.
Turn scattered reviews into a monthly product-feedback report. The problem it solves: Product teams read reviews ad-hoc; patterns emerge only after months of silence. Pull reviews from every source, cluster by theme, quantify sentiment, and ship a monthly digest. It runs in 5 steps, starting with ingest reviews from app store, play store, g2, trustpilot via api/scrape. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Product teams read reviews ad-hoc; patterns emerge only after months of silence.
Solution
Pull reviews from every source, cluster by theme, quantify sentiment, and ship a monthly digest.
Steps
- 01Ingest reviews from App Store, Play Store, G2, Trustpilot via API/scrape.
- 02Extract structured fields (rating, feature mentioned, sentiment).
- 03Cluster mentions by feature area with embeddings + HDBSCAN.
- 04Rank clusters by volume x negativity delta MoM.
- 05Generate a monthly PDF with top 5 issues and representative quotes.
Tools Used
Related Dictionary
/ frequently asked
What does the Review Aggregation & Insight Pipeline workflow do?
Pull reviews from every source, cluster by theme, quantify sentiment, and ship a monthly digest.
What problem does Review Aggregation & Insight Pipeline solve?
Product teams read reviews ad-hoc; patterns emerge only after months of silence.
How many steps does Review Aggregation & Insight Pipeline take?
5 steps. It starts with ingest reviews from app store, play store, g2, trustpilot via api/scrape. and ends with generate a monthly pdf with top 5 issues and representative quotes..
Which tools does Review Aggregation & Insight Pipeline need?
It uses customer-voice-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
Embedding
A numerical vector representation of text, image or audio that captures meaning for similarity search.
Dictionary↳ linked
Entity Extraction
Pulling structured entities (people, places, orgs, dates) from text.
Dictionary↳ linked
Summarization
Compressing text while preserving meaning and structure.
Tool Stack↳ linked
Customer Voice Intelligence Stack
Collects and synthesizes customer feedback across support, calls, reviews, and surveys.
Tool Stack↳ linked
Ecommerce Ops AI Stack
Automate the boring 80% of running a Shopify store.
Tool Stack↳ linked
Local SMB AI Stack
Small local business running marketing + ops with 1 person + AI.