Claim Processing Step Timings

This dataset provides a detailed breakdown of insurance claim processing workflows, capturing the timing, status, and responsibility for each individual step. It enables granular analysis of process efficiency, identification of bottlenecks, and supports operational improvement initiatives. With step-level timing and status data, organizations can optimize claims handling and enhance customer satisfaction.

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

Identifying process bottlenecks and inefficiencies in claim handling

Sample rows

preview · 8 of 105 rows · all 11 columns
claim_step_idstringdepartmentstringstep_sequenceintegerstep_namestringclaim_idstringstep_statusstringstep_start_datetimedatetimestep_end_datetimedatetimeduration_secondsfloatassigned_user_idstringnotesstring
step_0001Claims1Initial Reviewclaim_A1001completed2024-05-10T09:31:05Z2024-05-10T10:01:39Z1834user_021Reviewed required documents.
step_0002Fraud2Fraud Checkclaim_A1001completed2024-05-10T10:01:45Z2024-05-10T10:17:12Z927user_104No suspicious activity detected.
step_0003Underwriting3Approvalclaim_A1001pending2024-05-10T10:17:15Zblankblankuser_205Awaiting final approval.
step_0004Claims1Initial Reviewclaim_B2042completed2024-06-01T13:19:40Z2024-06-01T13:29:02Z562user_033blank
step_0005Assessment2Assessmentclaim_B2042completed2024-06-01T13:29:08Z2024-06-01T13:51:11Z1323user_228Follow-up required for some details.
step_0006Underwriting3Final Approvalclaim_B2042completed2024-06-01T13:51:15Z2024-06-01T13:53:50Z155user_300blank
step_0007Claims1Initial Reviewclaim_C3907completed2024-04-21T08:45:12Z2024-04-21T09:04:33Z1161user_044blank
step_0008Fraud2Fraud Checkclaim_C3907completed2024-04-21T09:04:40Z2024-04-21T09:13:12Z512user_194Minor flag, resolved.

What the 105 rows show

from the 105-row sample

Underwriting department stands out: mean step_sequence is 2.8, against 1.4 for the rest.

  • 2median step_sequence
  • 4step statuses
  • 875median duration_seconds
Mean step_sequence by department100 rows
0241.1Claims48 rows2.8Under…25 rows2.0Fraud13 rows2.0Asses…8 rows1.7Suppo…3 rows2.0Manag…3 rows
step_sequence105 rows, in bands of 0.2
025504200004000023123step_sequence →

Median 2, from 1 to 3.

step_name105 rows · top 10 of 11 values
  1. Initial Review41
  2. Approval13
  3. Fraud Check11
  4. Final Approval11
  5. Assessment8
  6. Manual Review7
  7. Special Handling5
  8. Document Upload3
  9. Manager Review3
  10. Special Investigation2
11 columns by typefrom the column list below
  • string 7
  • integer 1
  • float 1
  • datetime 2

Columns

11 columns in three groups
blueprint · 11 columns
columntypedescriptionexample
Text 7 columns
claim_step_idstringUnique identifier for each claim processing step recorduniquestep_0001
claim_idstringUnique identifier for the insurance claim associated with this stepclaim_A1001
step_namestringName of the specific processing step (e.g., 'Initial Review', 'Fraud Check', 'Approval')11 namesInitial Review
step_statusstringStatus of the processing step (e.g., 'completed', 'in_progress', 'pending', 'failed')completed · in_progress · pending · failedcompleted
assigned_user_idstringIdentifier for the user or agent responsible for this stepoptionaluser_021
departmentstringDepartment or team responsible for the step (e.g., 'Claims', 'Fraud', 'Underwriting')6 departments · optionalClaims
notesstringOptional notes or comments about the step, such as reasons for delay or special circumstancesoptionalAwaiting final approval.
Numbers 2 columns
step_sequenceintegerOrder of the step within the claim processing workflow1 or more1
duration_secondsfloatTotal time taken to complete the step, in seconds (null if not completed)0 or more · optional1834
Dates and times 2 columns
step_start_datetimedatetimeTimestamp indicating when the processing step began2024-05-10T09:31:05Z
step_end_datetimedatetimeTimestamp indicating when the processing step endedoptional2024-05-10T10:01:39Z

Use it for

  • median step se…2105 rowsmean step sequence by…1.1Clai…2.8Unde…2.0Fraud2.0Asse…

    An insurance dashboard

    Step_sequence by department and a breakdown of step_name. Excel, Power BI or Tableau.

  • Why do the 25 Underwriting rows have a mean step_sequence of 2.8?

    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 claim steps with claim_id, step_name and step_sequence 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.

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This dataset105 rows11 columns
Yours1,000 rows11 columns

blueprint · claim-processing-step-timings

Behind this dataset

Same schema. As many rows as you need.

These 105 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
  • Each claim progresses through all steps
  • Timestamp recorded at entry and exit of each step
  • Highlight steps averaging >48 hours
  • Claims with missing steps are flagged
  • Final resolution date must be present
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
claim-processing-step-timings

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