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Workflow

Review Aggregation & Insight Pipeline

Turn scattered reviews into a monthly product-feedback report.

1 min readupdated 2026-07-04

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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
  1. 01Ingest reviews from App Store, Play Store, G2, Trustpilot via API/scrape.
  2. 02Extract structured fields (rating, feature mentioned, sentiment).
  3. 03Cluster mentions by feature area with embeddings + HDBSCAN.
  4. 04Rank clusters by volume x negativity delta MoM.
  5. 05Generate a monthly PDF with top 5 issues and representative quotes.
Tools Used
Related Dictionary
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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.

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Related concepts

The vocabulary this page depends on.

  • Embedding

    A numerical vector representation of text, image or audio that captures meaning for similarity search.

  • Entity Extraction

    Pulling structured entities (people, places, orgs, dates) from text.

  • Summarization

    Compressing text while preserving meaning and structure.

  • AI Copilot

    An in-product AI assistant that helps a user complete a task inside an existing workflow.

all dictionary

Related workflows

Turn this into a repeatable process.

all workflows

Related tool stacks

The tools that run it in production.

all tool stacks

Related prompts

Reusable prompts for this job.

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Related use cases

How people apply it, and what came out.

all use cases