Distributed Team Incident Response Times

This dataset provides detailed tracking of incident response times and processes for remote and distributed teams, including escalation paths, communication channels, and bottleneck identification. It enables organizations to analyze operational efficiency, identify process improvements, and enhance resilience by pinpointing delays and optimizing team workflows.

  • last updated 14 Dec 2025
  • by GoMask
The brief that made it

Analyze incident response efficiency and identify bottlenecks in distributed teams

Sample rows

preview · 8 of 75 rows · all 28 columns
incident_idstringprioritystringresponse_time_minutesfloatescalatedbooleanescalated_to_team_idstringincident_typestringreported_by_user_idstringreported_by_user_namestringreported_by_user_emailstringreported_atdatetimeteam_idstringteam_namestringinitial_response_atdatetimeinitial_responder_user_idstringinitial_responder_user_namestringescalation_atdatetimeescalated_to_team_namestringresolution_atdatetimeresolved_by_user_idstringresolved_by_user_namestringcommunication_channelsstringescalation_time_minutesfloatresolution_time_minutesfloatresolution_statusstringbottleneck_identifiedbooleanincident_descriptionstringresolution_summarystringbottleneck_descriptionstring
INC-10001critical1.8trueTEAM-03system outageUSR-201Jessica Linjlin@nonprofitdata.org2024-04-08T09:16:21TEAM-01DevOps East2024-04-08T09:18:04USR-208Oscar Ramirez2024-04-08T09:26:20Cloud Platform2024-04-08T10:37:12USR-212Abdul MajeedSlack8.380.9resolvedtrueProduction database became inaccessible, impacting all users.Database connection reestablished after restarting services.Delayed escalation approval due to unclear protocol.
INC-10002medium5.5falseblankperformance issueUSR-202Liam Foxliam.fox@smbeast.co2024-03-12T14:55:10TEAM-04Web Services2024-03-12T15:00:41USR-203Clara Nguyenblankblank2024-03-12T16:07:16USR-203Clara NguyenTeamsblank72.1resolvedfalseWebsite response times increased during peak traffic.Traffic distributed using load balancer, performance normalized.blank
INC-10003high3.4trueTEAM-05security breachUSR-204Syed Rahmansyed.rahman@nptech.org2024-05-05T18:20:38TEAM-02Security Response2024-05-05T18:24:04USR-205Maya Patel2024-05-05T18:40:00Management2024-05-05T20:02:15USR-206Alex GreenEmail15.9101.6resolvedtrueUnauthorized access detected in customer portal.Compromised accounts locked, root cause analyzed.Management unavailable for escalation for 15 minutes.
INC-10004low20.4falseblankotherUSR-207Rachel Kimrachel.kim@donateplus.net2024-04-01T11:08:45TEAM-04Web Services2024-04-01T11:29:10USR-203Clara Nguyenblankblank2024-04-01T12:02:21USR-203Clara NguyenSlackblank53.6resolvedfalseBroken link found on donation page.Replaced broken link and verified page.blank
INC-10005high4.6falseblankservice degradationUSR-208Oscar Ramirezoscar.ramirez@nptech.org2024-03-25T21:33:12TEAM-01DevOps East2024-03-25T21:37:50USR-212Abdul Majeedblankblank2024-03-25T22:10:44USR-212Abdul MajeedTeamsblank37.5resolvedfalseAPI requests returned 503 errors intermittently.Restarted API service, monitored for errors.blank
INC-10006critical3.1trueTEAM-05system outageUSR-209Emily Sunemily.sun@nonprofitdata.org2024-04-28T07:43:10TEAM-03Cloud Platform2024-04-28T07:46:15USR-210David Choi2024-04-28T07:51:38Management2024-04-28T09:04:59USR-206Alex GreenPhone5.481.8resolvedtruePower failure at remote data center, services offline.Failover initiated, full service restored.Coordination delay between on-site and cloud teams.
INC-10007medium3.5falseblankperformance issueUSR-210David Choidavid.choi@nptech.org2024-03-29T13:14:19TEAM-02Security Response2024-03-29T13:17:50USR-204Syed Rahmanblankblank2024-03-29T13:49:21USR-205Maya PatelSlackblank35resolvedfalseMobile app login took over 60 seconds for multiple users.Cleared cache and optimized login endpoints.blank
INC-10008high4.3falseblanksecurity breachUSR-211Priya Singhpriya.singh@smbeast.co2024-04-13T10:11:04TEAM-02Security Response2024-04-13T10:15:22USR-205Maya Patelblankblank2024-04-13T11:04:21USR-205Maya PatelEmailblank53.3resolvedfalsePhishing attempt detected in internal communications.Blocked sender, notified affected staff.blank

What the 75 rows show

from the 75-row sample

Critical priority stands out: 14 of its 14 rows have escalated = true, against 11 of 61 for the rest.

  • 33%escalated = true
  • 5.5median response_time_minutes
  • 5incident types
  • 5communication channelses
  • 8.3median escalation_time_minutes
  • 45.9median resolution_time_minutes
Escalated rate by priorityescalated = true
0%50%100%0%low0 of 90%medium0 of 3255%high11 of 20100%critical14 of 14
response_time_minutes75 rows, in bands of 2.5
015301322111087121012.522.5response_time_minutes →

Median 5.5, from 1.4 to 20.4.

escalated_to_team_id25 rows with a value · 50 left blank
  1. TEAM-0513
  2. TEAM-APAC-SEC-ESC3
  3. TEAM-US-SEC-ESC3
  4. TEAM-EMEA-ESC2
  5. TEAM-031
  6. TEAM-EMEA-SEC-ESC1
  7. TEAM-APAC-PAY-ESC1
  8. TEAM-APAC-FILE-ESC1
28 columns by typefrom the column list below
  • string 19
  • float 3
  • datetime 4
  • boolean 2

Columns

28 columns in four groups
blueprint · 28 columns
columntypedescriptionexample
Text 19 columns
incident_idstringUnique identifier for each incident reporteduniqueINC-10001
incident_typestringCategory or type of the incident (e.g., system outage, security breach, service degradation)5 valuessystem outage
incident_descriptionstringDetailed description of the incidentProduction database becam…
reported_by_user_idstringUnique identifier for the user who reported the incidentUSR-201
reported_by_user_namestringName of the user who reported the incidentJessica Lin
reported_by_user_emailstringEmail address of the user who reported the incidentjlin@nonprofitdata.org
team_idstringUnique identifier for the distributed team handling the incidentTEAM-01
team_namestringName of the distributed team assigned to the incidentDevOps East
prioritystringPriority level assigned to the incidentlow · medium · high · criticalcritical
initial_responder_user_idstringUnique identifier for the user who first responded to the incidentUSR-208
initial_responder_user_namestringName of the user who first responded to the incidentOscar Ramirez
escalated_to_team_idstringUnique identifier for the team to which the incident was escalated8 teams · optionalTEAM-03
escalated_to_team_namestringName of the team to which the incident was escalated8 names · optionalCloud Platform
resolved_by_user_idstringUnique identifier for the user who resolved the incidentUSR-212
resolved_by_user_namestringName of the user who resolved the incidentAbdul Majeed
resolution_summarystringSummary of how the incident was resolvedDatabase connection reest…
communication_channelsstringPrimary communication channel used during incident response (e.g., Slack, Email, Teams)6 valuesSlack
resolution_statusstringFinal status of the incident resolutionresolved · unresolved · duplicate · invalidresolved
bottleneck_descriptionstringDescription of the bottleneck identified (if any)optionalDelayed escalation approv…
Numbers 3 columns
response_time_minutesfloatTime taken (in minutes) from incident report to initial response0 or more1.8
escalation_time_minutesfloatTime taken (in minutes) from initial response to escalation (if applicable)0 or more · optional8.3
resolution_time_minutesfloatTotal time (in minutes) from incident report to resolution0 or more80.9
Dates and times 4 columns
reported_atdatetimeTimestamp when the incident was reported2024-04-08T09:16:21
initial_response_atdatetimeTimestamp when the first response to the incident occurred2024-04-08T09:18:04
escalation_atdatetimeTimestamp when the incident was escalated (if applicable)optional2024-04-08T09:26:20
resolution_atdatetimeTimestamp when the incident was resolved2024-04-08T10:37:12
True or false 2 columns
escalatedbooleanIndicates whether the incident was escalated to a higher support tier or managementtrue
bottleneck_identifiedbooleanIndicates if a communication or process bottleneck was identified during the incident responsetrue

Use it for

  • escalated33%25 of 75 rowsmean response time mi…13.5low6.2medi…6.1high4.4crit…

    A technology dashboard

    The escalated rate, response_time_minutes by priority and a breakdown of escalated_to_team_id. Excel, Power BI or Tableau.

  • Why do 25 of 75 rows have escalated = 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 incidents with incident_type, incident_description and reported_by_user_id to fill a screen in front of a buyer.

Not quite right?

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blueprint · distributed-team-incident-response-times

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 28 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 row represents a distinct incident requiring team response.
  • Capture timestamps for incident creation, escalation, and resolution.
  • Include incident severity level (Low/Medium/High/Critical).
  • Associate each incident with the responding team and location.
  • Calculate total response time and flag responses exceeding SLA thresholds.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
distributed-team-incident-response-times

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