Software Feature Usage Frequencies

This dataset logs the frequency of software feature usage across users, organizations, platforms, and time periods, enabling detailed analysis of user engagement and feature adoption. It supports granular tracking of how often each feature is used, by whom, and in what context, empowering data-driven decisions for feature development and prioritization.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Identifying high- and low-usage features to inform product development and roadmap prioritization

Sample rows

preview · 8 of 130 rows · all 11 columns
usage_idstringplatformstringusage_countintegerregionstringfeature_idstringfeature_namestringuser_idstringorganization_idstringusage_period_startdateusage_period_enddatelast_used_atdatetime
A1B2C3D4E5F6G7H8web12USFT001LoginUSR001blank2024-05-012024-05-012024-05-01T18:34:29Z
X8V7C6B5N4M3L2K1android3INFT002Upload FileUSR002ORG0012024-05-102024-05-122024-05-12T15:11:43Z
LONG-LOG-IDENT-01-abcxyzweb86CAFT003Create ReportUSR003ORG0022024-04-012024-04-302024-04-30T23:59:59Z
b7e3f7c4-12e9-4a53-bf2d-1c9e8a9e8b3fios1GBFT004Edit ProfileUSR004blank2024-05-132024-05-132024-05-13T09:14:11Z
CDEFGH12JKL34567api431blankFT005API AccessUSR005ORG0032024-01-012024-06-012024-06-01T21:09:33Z
ABCD-EFGH-1234-IJKLdesktop54DEFT006Export DataUSR006ORG0042024-03-012024-03-312024-03-31T17:22:06Z
U9J8H7G6F5D4S3A2web9KRFT007View DashboardUSR007blank2024-05-082024-05-082024-05-08T08:31:10Z
ZXC123VBN456ASD789desktop2FRFT008Live ChatUSR008ORG0052024-05-042024-05-102024-05-10T20:50:50Z

What the 130 rows show

from the 130-row sample
  • 5median usage_count
  • 19feature names
platform130 rows by value
0204037web28%18ios14%17andro…13%26api20%23deskt…18%9other7%
usage_count130 rows, in bands of 10k
065130127000000003050k100kusage_count →

Median 5, from 1 to 99,999.

region97 rows with a value · 33 left blank
  1. US12
  2. ZA7
  3. GB5
  4. AU5
  5. IN4
  6. DE4
  7. FR4
  8. PL4
  9. SG4
  10. CA3
11 columns by typefrom the column list below
  • string 7
  • integer 1
  • date 2
  • datetime 1

Columns

11 columns in three groups
blueprint · 11 columns
columntypedescriptionexample
Text 7 columns
usage_idstringUnique identifier for each feature usage log entryuniqueA1B2C3D4E5F6G7H8
feature_idstringUnique identifier for the software feature being usedFT001
feature_namestringHuman-readable name of the software featureLogin
user_idstringUnique identifier for the user who used the featureUSR001
organization_idstringUnique identifier for the organization or account the user belongs tooptionalORG001
platformstringPlatform or environment where the feature was used (e.g., web, iOS, Android, API)6 values · optionalweb
regionstringGeographical region or country code where the usage occurredoptionalUS
Numbers 1 column
usage_countintegerNumber of times the feature was used within the aggregation period1 or more12
Dates and times 3 columns
usage_period_startdateStart date of the period over which usage was aggregated2024-05-01
usage_period_enddateEnd date of the period over which usage was aggregated2024-05-01
last_used_atdatetimeTimestamp of the most recent usage of the feature within the aggregation periodoptional2024-05-01T18:34:29Z

Use it for

  • median usage c…5130 rowsmean usage count by p…16.4web4.3ios6.2andr…11.7kapi

    A technology dashboard

    Usage_count by platform and a breakdown of region. Excel, Power BI or Tableau.

  • What pattern can you find in 130 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 130 rows.

  • A software demo

    Believable usages with feature_id, feature_name and user_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 11 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 dataset130 rows11 columns
Yours1,000 rows11 columnsregion: UK only

blueprint · software-feature-usage-frequencies

Behind this dataset

Same schema. As many rows as you need.

These 130 rows came out of a blueprint — 11 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
  • Track usage per feature per user
  • Log last usage timestamp
  • Flag rarely used features
  • Aggregate usage by user type
  • Exclude admin-only features
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
software-feature-usage-frequencies

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