Insurance Inquiry Response Times

This dataset provides granular tracking of customer insurance inquiries, capturing response times, channels, agent assignments, and customer satisfaction ratings. It enables detailed analysis of service performance, bottlenecks, and customer experience, supporting operational improvements and compliance monitoring in the insurance sector.

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

Monitor and optimize customer service response times for insurance inquiries

Sample rows

preview · 8 of 55 rows · all 12 columns
inquiry_idstringinquiry_typestringcustomer_satisfaction_ratingintegeragent_idstringcustomer_idstringinquiry_channelstringinquiry_datetimedatetimeresponse_datetimedatetimeresponse_time_minutesfloatresponse_statusstringpolicy_idstringnotesstring
INQ10001quote5AGT3001CUST2001web2024-04-15T10:24:182024-04-15T10:41:0316.75respondedPOL4001Customer requested auto insurance quote.
INQ10002claim4AGT3002CUST2002email2024-04-13T15:10:072024-04-13T17:40:21150.23respondedPOL4002Initial claim for storm damage.
INQ10003policy_question5AGT3003CUST2003phone2024-04-18T11:05:202024-04-18T11:06:321.2respondedPOL4003Asked about coverage for rental car.
INQ10004coverage_change4AGT3004CUST2004in_person2024-04-20T09:12:442024-04-20T09:14:301.77respondedPOL4004Customer requested increased liability coverage.
INQ10005other5AGT3005CUST2005chat2024-04-19T13:54:012024-04-19T13:55:481.78respondedblankAsked for a copy of latest policy document.
INQ10006claim3AGT3006CUST2001phone2024-04-21T10:22:302024-04-21T10:40:0017.5respondedPOL4005Follow-up on claim status.
INQ10007policy_questionblankAGT3002CUST2006email2024-04-21T14:49:582024-04-21T16:21:1091.2pendingPOL4006Asked about deductible options.
INQ10008quote4AGT3001CUST2007web2024-04-20T17:24:112024-04-20T17:32:598.8respondedblankInterested in home insurance.

What the 55 rows show

from the 55-row sample

Claim (inquiry type) stands out: mean customer_satisfaction_rating is 2.6, against 4.2 for the rest.

  • 4median customer_satisfaction_rating
  • 4response statuses
  • 5inquiry channels
  • 12.1median response_time_minutes
Mean customer_satisfaction_rating by inquiry_type49 rows
0484.5quote10 rows2.6claim10 rows4.3policy…12 rows4.0covera…10 rows3.9other7 rows
customer_satisfaction_rating49 rows, in bands of 0.5
09182040901717135customer_satisfaction_rating →

Median 4, from 1 to 5.

agent_id55 rows · top 10 of 21 values
  1. AGT30015
  2. AGT-1194
  3. AGT30023
  4. AGT30033
  5. AGT30043
  6. AGT30083
  7. AGT-1153
  8. AGT-1173
  9. AGT-1203
  10. AGT-1163
12 columns by typefrom the column list below
  • string 8
  • integer 1
  • float 1
  • datetime 2

Columns

12 columns in three groups
blueprint · 12 columns
columntypedescriptionexample
Text 8 columns
inquiry_idstringUnique identifier for each customer insurance inquiryuniqueINQ10001
customer_idstringUnique identifier for the customer making the inquiryCUST2001
inquiry_typestringType of insurance inquiry (e.g., quote, claim, policy question, coverage change)quote · claim · policy_question · coverage_change · otherquote
inquiry_channelstringChannel through which the inquiry was received (e.g., email, phone, web, in-person, chat)6 valuesweb
agent_idstringUnique identifier for the agent or representative who respondedAGT3001
response_statusstringStatus of the response (e.g., responded, pending, escalated, closed)responded · pending · escalated · closedresponded
policy_idstringUnique identifier for the insurance policy related to the inquiry (if applicable)optionalPOL4001
notesstringAdditional notes or comments related to the inquiry or responseoptionalCustomer requested auto i…
Numbers 2 columns
response_time_minutesfloatTime taken to respond to the inquiry, measured in minutes0 or more16.75
customer_satisfaction_ratingintegerCustomer satisfaction rating for the inquiry response (1-5 scale, optional if not provided)1 to 5 · optional5
Dates and times 2 columns
inquiry_datetimedatetimeDate and time when the inquiry was received2024-04-15T10:24:18
response_datetimedatetimeDate and time when the first response was sent to the customer2024-04-15T10:41:03

Use it for

  • median custome…449 rowsmean customer satisfa…4.5quote2.6claim4.3poli…4.0cove…

    An insurance dashboard

    Customer_satisfaction_rating by inquiry_type and a breakdown of agent_id. Excel, Power BI or Tableau.

  • Why do the 10 claim rows have a mean customer_satisfaction_rating of 2.6?

    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 inquiries with customer_id, inquiry_type and inquiry_channel to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 12 columns, your size and your rules. See 20 rows before you pay.

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This dataset55 rows12 columns
Yours1,000 rows12 columns

blueprint · insurance-inquiry-response-times

Behind this dataset

Same schema. As many rows as you need.

These 55 rows came out of a blueprint — 12 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
  • Record inquiry and response timestamps
  • Flag responses over 3 business days
  • Summarize average response times monthly
  • Segment by inquiry type
  • Identify agents with fastest responses
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
insurance-inquiry-response-times

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