User Feedback Text Analysis Set

This dataset contains synthetic, multi-domain user feedback entries, each labeled for sentiment, theme, and actionability to support machine learning applications in automated response systems and product improvement. It enables granular analysis of user concerns, trends, and actionable insights across different product areas, making it ideal for customer experience optimization and workflow automation.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Training machine learning models for automated feedback response

Sample rows

preview · 8 of 200 rows · all 12 columns
feedback_idstringactionability_labelstringtheme_labelstringuser_idstringdomainstringsentiment_labelstringcreated_atdatetimeresponse_statusstringproduct_idstringfeedback_textstringsuggested_actionstringresponse_textstring
feedKJ_2024actionablefeature_requestuser_0001mobile_apppositive2024-03-11T15:23:08Zin_progressapp_v4.2I would love to see a dark mode added to the app. It would make night usage much easier and more comfortable.Implement a dark mode feature in the mobile app.Thank you for your suggestion! We're evaluating the dark mode request.
minlen_0002actionableperformanceuser_0002websitenegative2024-03-04T08:24:13Zcompletedwebshop_12The checkout process is slow and sometimes fails to load on my browser.Optimize website checkout speed and fix loading issues.We've updated the checkout module to improve speed and reliability.
edgeTxtA_3needs_clarificationsupportanon_0003customer_servicemixed2024-02-27T17:41:29ZpendingblankYour support team was helpful, but my issue took too long to resolve.blankblank
userEdge_004needs_clarificationpricinguser_0004billingneutral2024-02-17T09:15:01Zpendingsub_2024APlease clarify the charges on my recent invoice. I noticed an unexpected fee.blankblank
legacyU_005not_actionableperformancelegacy_user_005productpositive2024-03-02T11:33:27ZcompletedprodX_5The latest update improved battery life considerably. Well done!blankThanks for your feedback! We're glad you like the update.
edgeLongT06actionablebug_reportuser_0006mobile_appnegative2024-02-22T19:08:12Zin_progressapp_v4.2Every time I try to log in, the app crashes. It happened 7 times today. Please fix ASAP.Investigate and resolve login crash in mobile app.We're aware of the login issue and are working on a fix.
okSimple_007not_actionableotheruser_0007otherneutral2022-11-21T14:05:27ZignoredblankOk.blankblank
prodX7_008actionablefeature_requestuser_0008productpositive2024-03-01T10:10:05ZpendingprodX_7Would be great to have a customizable dashboard with widgets.Add dashboard customization and widget support.blank

What the 200 rows show

from the 200-row sample
  • 4sentiment labels
  • 4response statuses
  • 6domains
actionability_label200 rows by value
060120114actionable57%52not_actionab…26%34needs_clarif…17%
theme_label200 rows · 7 values
  1. support45
  2. feature_request42
  3. other34
  4. performance27
  5. bug_report23
  6. usability21
  7. pricing8
12 columns by typefrom the column list below
  • string 11
  • datetime 1

Columns

12 columns in two groups
blueprint · 12 columns
columntypedescriptionexample
Text 11 columns
feedback_idstringUnique identifier for each user feedback entryuniquefeedKJ_2024
user_idstringIdentifier for the user who submitted the feedback (can be anonymized)user_0001
domainstringDomain or product area relevant to the feedback (e.g., mobile_app, website, customer_service)6 valuesmobile_app
feedback_textstringFull text of the user's feedback1 to 2,000Ok.
sentiment_labelstringCategorized sentiment of the feedbackpositive · neutral · negative · mixedpositive
theme_labelstringPrimary theme or topic of the feedback (e.g., usability, performance, support)7 valuesfeature_request
actionability_labelstringIndicates whether the feedback is actionable and what type of action is suggestedactionable · not_actionable · needs_clarificationactionable
suggested_actionstringBrief description of the recommended action based on feedback (if actionable)up to 256 · optionalImplement a dark mode fea…
response_statusstringIndicates if feedback has been responded to or processedpending · in_progress · completed · ignoredin_progress
response_textstringText of the automated or manual response (if any)up to 2,000 · optionalThank you for your sugges…
product_idstringIdentifier for the product or service referenced in the feedbackoptionalapp_v4.2
Dates and times 1 column
created_atdatetimeTimestamp when the feedback was submitted2024-03-11T15:23:08Z

Use it for

  • rows20012 columnsrows by actionability…114action…52not_ac…34needs_…

    A technology dashboard

    A breakdown of theme_label. Excel, Power BI or Tableau.

  • What pattern can you find in 200 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 200 rows.

  • A software demo

    Believable feedbacks with user_id, domain and feedback_text to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 12 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows12 columns
Yours1,000 rows12 columns

blueprint · user-feedback-text-analysis-set

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 12 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Text samples must be realistic and varied
  • Sentiment labeled as positive, neutral, negative
  • Theme tags included per sample
  • User demographic features anonymized
  • Actionability scored per feedback
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
user-feedback-text-analysis-set

What should your data show?

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