Diversity Recruiting Pipeline Metrics

This dataset provides granular tracking of candidate progression through diversity-focused recruitment stages, including job requisition details, diversity attributes, and stage outcomes. It empowers HR leaders to analyze hiring equity, identify pipeline bottlenecks, and benchmark diversity recruiting performance across roles and departments.

  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Analyzing diversity representation and progression at each recruitment stage

Sample rows

preview · 8 of 200 rows · all 21 columns
candidate_idstringstage_appliedstringsalary_expectationfloatdiversity_groupstringfull_namestringemailstringphone_numberstringjob_requisition_idstringjob_titlestringdepartmentstringapplication_datedatecurrent_stagestringstage_entry_datedatestage_exit_datedatestage_outcomestringdiversity_group_valuestringsourcestringlocation_citystringlocation_statestringlocation_countrystringhired_datedate
C001Applied48000EthnicityMiguel Alvarezmiguel.alvarez@jobboard.com+34 612-345-678JR2101Data AnalystAnalytics2023-12-02Interview2023-12-092023-12-15AdvancedHispanicJob BoardMadridMadridSpainblank
C002Applied15000GenderPriya Nairpriya.nair@campusevent.edublankJR2102Finance InternFinance2023-12-05Assessment2023-12-10blankPendingFemaleCampus EventBangaloreKarnatakaIndiablank
C003Referred123500GenderJonathan Leejonathan.lee@referral.com+1-415-234-5678JR2103Software EngineerEngineering2023-12-08Offer2023-12-15blankPendingMaleReferralSan FranciscoCAUSAblank
C004Sourced58000GenderSophie Müllersophie.muller@agency.de+49 170-123-4567JR2104UX DesignerProduct2023-12-11Screening2023-12-152023-12-19AdvancedFemaleAgencyBerlinBerlinGermanyblank
C005Applied63000blankJackson Smithjackson.smith@jobboard.com+1-646-555-1234JR2101Data AnalystAnalytics2023-12-13Interview2023-12-18blankPendingblankJob BoardNew YorkNYUSAblank
C006Sourced70000EthnicityChen Weichen.wei@agency.cn+86 138-1234-5678JR2105QA TesterQuality Assurance2023-12-17Screening2023-12-212023-12-25AdvancedAsianAgencyBeijingBeijingChinablank
C007Applied90000blankFatima Al-Mansourifatima.mansouri@jobboard.ae+971 50-123-4567JR2106Operations LeadOperations2023-12-20Assessment2023-12-262023-12-29RejectedblankJob BoardDubaiDubaiUAEblank
C008Sourced55000GenderLucas Rossilucas.rossi@agency.com.br+55 11-91234-5678JR2107Marketing SpecialistMarketing2023-12-22Interview2023-12-282023-12-31AdvancedMaleAgencySão PauloSPBrazilblank

What the 200 rows show

from the 200-row sample
  • 78,000median salary_expectation
  • 4stage outcomes
  • 4sources
  • 6current stages
  • 10diversity group values
  • 11departments
stage_applied200 rows by value
065130125Applied63%54Sourced27%21Referred11%
salary_expectation200 rows, in bands of 100k
0801601533900006020500k900ksalary_expectation →

Median 78,000, from 15,000 to 850,000.

diversity_group114 rows with a value · 86 left blank
  1. Gender56
  2. Ethnicity37
  3. Veteran11
  4. Disability10
21 columns by typefrom the column list below
  • string 16
  • float 1
  • date 4

Columns

21 columns in three groups
blueprint · 21 columns
columntypedescriptionexample
Text 16 columns
candidate_idstringUnique identifier for each candidate in the recruitment pipeline.uniqueC001
full_namestringCandidate's full legal name.Miguel Alvarez
emailstringCandidate's email address.uniquesophie.muller@agency.de
phone_numberstringCandidate's primary contact phone number.optional+34 612-345-678
job_requisition_idstringUnique identifier for the job requisition the candidate applied to.JR2101
job_titlestringTitle of the job position for which the candidate is being considered.Data Analyst
departmentstringDepartment or business unit associated with the job requisition.11 departments · optionalAnalytics
stage_appliedstringInitial stage at which the candidate entered the pipeline (e.g., Applied, Sourced).Applied · Sourced · ReferredApplied
current_stagestringCurrent stage of the candidate in the recruitment pipeline.7 valuesInterview
stage_outcomestringOutcome of the candidate at the current stage (e.g., Advanced, Rejected, Withdrawn, Hired).Advanced · Rejected · Withdrawn · Hired · Pending · optionalAdvanced
diversity_groupstringCandidate's self-identified diversity group (e.g., Gender, Ethnicity, Disability, Veteran).4 groups · optionalEthnicity
diversity_group_valuestringSpecific value for the diversity group (e.g., Female, Hispanic, Disabled, Veteran).10 values · optionalHispanic
sourcestringHow the candidate was sourced (e.g., Job Board, Referral, Campus Event, Agency).4 sources · optionalJob Board
location_citystringCity where the candidate is based or applied from.optionalMadrid
location_statestringState or region where the candidate is based or applied from.optionalMadrid
location_countrystringCountry where the candidate is based or applied from.optionalSpain
Numbers 1 column
salary_expectationfloatCandidate's stated salary expectation for the role.0 or more · optional48000
Dates and times 4 columns
application_datedateDate when the candidate submitted their application.2023-12-02
stage_entry_datedateDate when the candidate entered the current stage.2023-12-09
stage_exit_datedateDate when the candidate exited the current stage (if applicable).optional2023-12-15
hired_datedateDate when the candidate was officially hired (if applicable).optional2024-04-29

Use it for

  • median salary …78,000200 rowsmean salary expectati…95.8kApplied109.8kSourced76.2kReferr…

    A human resources dashboard

    Salary_expectation by stage_applied and a breakdown of diversity_group. 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 candidates with full_name, email and phone_number to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset200 rows21 columns
Yours1,000 rows21 columnslocation_city: UK only

blueprint · diversity-recruiting-pipeline-metrics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 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
  • Candidate ethnicity and gender must be present.
  • Each application includes timestamps for every stage.
  • Stage outcomes are limited to pass, fail, or withdraw.
  • Role type and department are mandatory fields.
  • Applicants may appear in multiple stages.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
diversity-recruiting-pipeline-metrics

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