Customer Feedback Analysis Tool.
Upload a CSV from reviews, support tickets, and surveys. The tool clusters themes, scores sentiment per theme, and shows volume trends across sources.
The short answer
A customer feedback analysis tool reads unstructured feedback — reviews, support tickets, survey responses, call transcripts — and produces structured output: clustered themes, sentiment scores, volume trends, and cross-source correlation. Indellia's free tool runs on a single CSV upload; the full Indellia platform runs the same analysis continuously across every ingested source and links every piece of feedback to a specific product.
Analyze a feedback CSV.
Accepted format: CSV with a "text" column and optional "source" and "date" columns. Sample report opens in the same window.
Structured output from unstructured feedback.
Raw feedback lives in three inconvenient places: reviews (public, retailer-specific, SKU-tagged), support tickets (private, ticket-system-specific, customer-tagged), and surveys (sampled, quarterly, NPS-adjacent). Teams that treat these as three separate workstreams miss the cross-source signal that's usually where the real story lives.
Theme clustering. The tool reads the "text" column of your CSV and clusters every row into named themes. No pre-built taxonomy required. Themes emerge from the feedback itself and are ranked by volume and sentiment polarity.
Cross-source correlation. If your CSV has a "source" column (reviews, tickets, surveys, returns), the tool shows which themes appear across sources — the strongest signal you can get that an issue is real and widespread, not just a single-channel artifact.
Volume trends. With a "date" column, the tool plots theme volume over time for the top themes, so you can see what's rising and what's stable.
Four steps, a CSV.
Prepare your CSV.
Required column: text — the feedback body. Optional columns: source (e.g., amazon, zendesk, typeform), date (ISO format), and rating (1–5). Headers are case-insensitive. Up to 5,000 rows for the free tool.
Upload and submit.
The tool accepts standard CSV. If you have data in Zendesk, Intercom, or Typeform, their native export works. The free tool retains the file for 30 days for analysis generation, then deletes it.
Themes, sentiment, trends compute.
The Theme Agent clusters every row. Aspect-based sentiment is computed per theme. If the "source" column is present, cross-source correlation is surfaced. If "date" is present, a 90-day trend is drawn for each top theme.
You get a sample report.
The output is a one-page dashboard with theme-level sentiment, a source-distribution donut, and a volume trend chart. For continuous analysis, start a free trial of the Indellia platform.
What the output looks like.
A trimmed preview of the theme panel. See the full sample report.
When to use the full Indellia platform.
The free tool runs on a CSV you upload once. That's enough for a quarterly analysis, a post-launch review, or a pre-exec-meeting sanity check. It isn't enough for running a VoC program.
The Indellia platform ingests continuously — Amazon, Walmart, Best Buy, Costco, Lowe's, Target, Bazaarvoice, Zendesk, Intercom, Freshdesk, Gorgias, Loop Returns, Narvar, Typeform, SurveyMonkey, Qualtrics, Snowflake, and more. It links every piece of feedback to a specific SKU via the SKU Agent. And the Anomaly Agent alerts you when a theme starts rising before a human notices.
If your feedback is flowing continuously and your team needs to act on it within days rather than quarters, the platform is the right surface. See transparent pricing.
Frequently asked questions
What is a customer feedback analysis tool?
A customer feedback analysis tool reads unstructured feedback — reviews, support tickets, survey responses, and similar — and produces structured output: clustered themes, sentiment scores per theme, volume trends over time, and cross-source correlation. It replaces manual tagging and spreadsheet analysis. Indellia's free tool runs on a CSV upload; the full platform runs continuously across every connected source.
What format does the CSV need to be in?
Standard CSV. Required column: text — the feedback body, one row per piece of feedback. Optional columns: source (reviews, tickets, surveys, etc.), date in ISO format, and rating (1–5). Column headers are case-insensitive. Up to 5,000 rows per submission for the free tool.
What sources can the tool analyze?
Any text source that exports to CSV works. Common sources: Amazon reviews (via Seller Central export), Zendesk tickets (via Admin export), Typeform responses, SurveyMonkey exports, and Bazaarvoice review dumps. For continuous ingestion without manual exports, the full Indellia platform has native connectors to 20+ sources.
How does theme clustering work without a taxonomy?
The Theme Agent uses deterministic topic modeling to group feedback by semantic similarity — no pre-built taxonomy required. Themes emerge from the data itself and are named automatically ("setup confusion," "app pairing," "sound quality"). You can merge, rename, or pin themes on the full platform. See the sentiment analysis guide for method details.
Is the feedback data I upload kept private?
Yes. The uploaded CSV is used only to generate your sample report, retained for 30 days for support purposes, then deleted. We never share or resell customer data.
How accurate is the free tool compared to the platform?
The theme-clustering and sentiment-scoring engines are identical between the free tool and the platform. The difference is scope: the free tool runs on one CSV you upload, while the platform ingests continuously, links reviews to specific SKUs across retailers, and runs anomaly detection across the full corpus.
Have a specific question?
Indellia's AI agents answer with citations from real customer feedback across Amazon, Walmart, Best Buy, and 20+ retail channels.
A CSV is a snapshot. Feedback is continuous.
Connect Zendesk, Intercom, Amazon, or Typeform in five minutes. See the same themes update as feedback arrives.