• Gaming
  • 19 columns
  • 75 rows
  • 8 formats

Gaming Asset Pipeline Tracker

This dataset provides granular tracking of digital gaming assets as they move through multi-stage development pipelines, capturing status, resource allocation, bottlenecks, and team assignments. It enables studios to identify workflow inefficiencies, optimize resource allocation, and improve supply chain resilience for game production. Ideal for operational analytics, project management, and strategic planning in game development.

  • last updated 24 Nov 2025
  • by GoMask
The brief that made it

Identifying and resolving bottlenecks in asset production pipelines

Sample rows

preview · 8 of 75 rows · all 19 columns
asset_idstringstatusstringresource_allocated_hoursfloatbottleneck_flagbooleanassigned_teamstringasset_namestringasset_typestringproject_idstringpipeline_stagestringstage_start_datetimedatetimestage_end_datetimedatetimeassigned_userstringestimated_completion_datedateactual_completion_datedatepriorityintegerbottleneck_reasonstringresource_used_hoursfloatlast_updated_datetimedatetimenotesstring
AST_1001in_progress60false3D ArtistsMain Hero ModelcharacterPRJ_ALPHAmodeling2024-01-08T10:12:00Zblankjsmith2024-01-15blank1blank21.52024-01-12T16:01:00ZWaiting for concept tweaks approval
AST_1002in_progress35trueTexture ArtistsForest Texture SettexturePRJ_BETAtexturing2024-02-02T14:11:00Zblankmgarcia2024-02-10blank2Awaiting art direction feedback342024-02-08T17:30:00ZWaiting for feedback on color palette
AST_1003completed10falseAudio QAAmbient Forest AudioaudioPRJ_ALPHAQA2024-01-18T09:00:00Z2024-01-21T15:45:00Zzliu2024-01-202024-01-213blank9.52024-01-21T16:00:00ZMinor hiss removed in final
AST_1004delayed40trueAnimatorsEnemy Animation SetanimationPRJ_GAMMAanimation2024-01-25T11:03:00Zblankrwatson2024-02-05blank2Technical constraints on rig382024-02-03T13:10:00ZAwaiting rig fix from tech team
AST_1005on_hold18falseScriptingCity Night ScriptscriptPRJ_BETAintegration2024-02-01T08:45:00Zblankakumar2024-02-07blank3blank5.52024-02-04T09:35:00ZDependency on audio assets
AST_1006completed22falseMusic ProductionMain Menu ThemeaudioPRJ_DELTAcompleted2024-01-06T13:15:00Z2024-01-08T12:00:00Zjcho2024-01-092024-01-081blank202024-01-08T12:05:00ZTheme approved by creative director
AST_1007in_progress16falseConcept ArtCave Environment BlockoutenvironmentPRJ_ALPHAconcept2024-02-03T10:20:00Zblanknmartin2024-02-12blank4blank72024-02-04T14:40:00ZInitial sketches submitted
AST_1008completed7falseAudio QAVillager Voice Male 01audioPRJ_GAMMAQA2024-01-29T15:05:00Z2024-02-01T16:30:00Zbwhite2024-02-012024-02-013blank5.52024-02-01T18:00:00ZPassed QA with minor notes

What the 75 rows show

from the 75-row sample

Delayed status stands out: 10 of its 10 rows have bottleneck_flag = true, against 9 of 65 for the rest.

  • 25%bottleneck_flag = true
  • 16.0median resource_allocated_hours
  • 8asset types
  • 8projects
  • 8pipeline stages
  • 3median priority
Bottleneck flag rate by statusbottleneck_flag = true
0%50%100%3%in_pro…1 of 34100%delayed10 of 100%comple…0 of 19100%blocked6 of 633%on_hold2 of 6
resource_allocated_hours75 rows, in bands of 10
0204015311593203060resource_allocated_hours →

Median 16.0, from 3.0 to 60.0.

assigned_team75 rows · top 10 of 24 values
  1. Texture_Designers_Tokyo8
  2. 3D_Artists_London7
  3. 3D Artists6
  4. Animators6
  5. Texture Artists5
  6. Audio QA5
  7. QA_Sydney5
  8. Tech Art4
  9. Audio_Testers_Calgary3
  10. Rigging_Madrid3
19 columns by typefrom the column list below
  • string 10
  • integer 1
  • float 2
  • date 2
  • datetime 3
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 10 columns
asset_idstringUnique identifier for the digital assetuniqueAST_1001
asset_namestringHuman-readable name of the assetMain Hero Model
asset_typestringType of asset (e.g., character, environment, texture, audio)7 valuescharacter
project_idstringIdentifier for the game project this asset belongs to8 projectsPRJ_ALPHA
pipeline_stagestringCurrent stage of the asset in the development pipeline8 valuesmodeling
assigned_teamstringName or identifier of the team responsible for the asset at this stage3D Artists
assigned_userstringIdentifier or name of the primary user responsible for the asset at this stageoptionaljsmith
statusstringCurrent status of the asset in the pipelinein_progress · delayed · completed · blocked · on_holdin_progress
bottleneck_reasonstringShort description of the reason for bottleneck (if any)optionalWaiting for updated mesh
notesstringAdditional notes or comments about the asset or its pipeline statusoptionalFinal polish approved
Numbers 3 columns
priorityintegerPriority level of the asset (1=highest, 5=lowest)1 to 5 · optional1
resource_allocated_hoursfloatTotal hours allocated to the asset for the current stage0 or more · optional60
resource_used_hoursfloatTotal hours used so far for the asset in the current stage0 or more · optional21.5
Dates and times 5 columns
stage_start_datetimedatetimeDatetime when the asset entered the current pipeline stage2024-01-08T10:12:00Z
stage_end_datetimedatetimeDatetime when the asset exited the current pipeline stage (null if still in stage)optional2024-01-21T15:45:00Z
estimated_completion_datedateEstimated date for completion of the current pipeline stageoptional2024-01-15
actual_completion_datedateActual date the asset completed the current pipeline stageoptional2024-01-21
last_updated_datetimedatetimeDatetime when this record was last updated2024-01-12T16:01:00Z
True or false 1 column
bottleneck_flagbooleanIndicates if the asset is currently experiencing a bottleneckfalse

Use it for

  • bottleneck flag25%19 of 75 rowsmean resource allocat…22.0in_p…19.1dela…16.0comp…18.3bloc…

    A gaming dashboard

    The bottleneck_flag rate, resource_allocated_hours by status and a breakdown of assigned_team. Excel, Power BI or Tableau.

  • Why do 19 of 75 rows have bottleneck_flag = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable assets with asset_name, asset_type and project_id to fill a screen in front of a buyer.

Not quite right?

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This dataset75 rows19 columns
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blueprint · gaming-asset-pipeline-tracker

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 19 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
  • Each asset passes sequentially through defined pipeline stages
  • Track asset revisions, status changes, and responsible team member
  • Flag assets exceeding expected stage duration
  • Aggregate pipeline throughput weekly for trend analysis
  • Assets must be tagged by type and priority
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-asset-pipeline-tracker

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