Thematic

getthematic.com ↗

Analyze themes and sentiment across connected customer-feedback sources.

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80/100
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Homepage screenshot
Screenshot of the Thematic homepage

What it does

Thematic ingests unstructured feedback and associated metadata from surveys, support, reviews and other sources. It organizes themes, sentiment and answers linked to customer comments, with reporting, impact analysis and workflow capabilities.

Thematic analyzes existing customer feedback from surveys, reviews and support systems. It connects comments with dates and other fields, so a theme can be examined by location, product or customer group.

For a manual addition, prepare a CSV or XLSX in the accepted dataset format and open Manage data. Your account needs upload permission for that dataset. Further uploads need a Unique ID column. Drop the file into its upload area and wait for confirmation before leaving.

To produce a comparison table, use the download icon in Analysis and choose Download table data. Set filters such as date, location or theme. Under Rows, select how results should be grouped; choose the metrics, such as response count, volume, impact or score, then press Update to preview. Download creates the CSV. This can give a service team a table of delivery-related themes by month without copying values from charts.

Foundation is an annual subscription with up to 25,000 comments and three datasets. Enterprise uses a custom proposal. A comment is an individual review, response or interaction; a dataset is its connected source or file. One-click integrations and CSV uploads carry no additional integration fee, and API or secure file-transfer routes are available. The vendor recommends at least 2,000 rows of written feedback for best fit and offers a custom demo or a paid pilot.

Strengths

  • Links themes and answers to the original customer comments.
  • Connects several feedback channels and associated metadata.

Watch out for

  • Foundation limits both comment volume and the number of datasets.
  • The vendor recommends at least two thousand verbatim rows for best fit.

Best for

  • Customer-experience and insights teams comparing feedback across sources

Sources