Remote Sales Team Productivity Log
This dataset provides comprehensive daily productivity logs for remote sales teams, capturing key performance indicators, HR compliance status, engagement scores, and location data. It enables SMBs to monitor sales activities, assess operational efficiency, and ensure regulatory compliance in distributed work environments. The dataset is ideal for performance analytics, workforce optimization, and compliance auditing.
Sample rows
preview · 8 of 70 rows · all 17 columns| log_idstring | team_idstring | revenue_generatedfloat | location_countrystring | employee_idstring | employee_namestring | manager_idstring | datedate | hours_workedfloat | sales_calls_madeinteger | meetings_heldinteger | deals_closedinteger | compliance_check_passedboolean | engagement_scorefloat | notesstring | location_citystring | location_statestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LOG-001 | TEAM-A | 3500.25 | USA | EMP-1001 | Maria Alvarez | MGR-01 | 2024-05-13 | 7.5 | 18 | 3 | 1 | true | 88.2 | Followed up with two pending accounts. | Austin | TX |
| LOG-002 | TEAM-B | 6700 | Canada | EMP-1002 | Samuel Lee | MGR-02 | 2024-05-13 | 8.9 | 25 | 5 | 2 | true | 94.5 | Closed major deal with TechNova. | Toronto | ON |
| LOG-003 | TEAM-C | 0 | Canada | EMP-1003 | Jessica Chen | MGR-03 | 2024-05-13 | 5.2 | 12 | 1 | 0 | true | 78 | Low engagement due to illness. | Vancouver | BC |
| LOG-004 | TEAM-A | 12900.5 | USA | EMP-1004 | Omar Yusuf | MGR-01 | 2024-05-13 | 9.4 | 31 | 7 | 4 | true | 97.3 | Exceeded targets, candidate for bonus. | New York | NY |
| LOG-005 | TEAM-B | 2100 | UK | EMP-1005 | Priya Singh | MGR-02 | 2024-05-13 | 6.8 | 17 | 2 | 1 | true | 85 | Needs more client meetings. | London | England |
| LOG-006 | TEAM-C | 5600 | Germany | EMP-1006 | Lucas Meyer | MGR-03 | 2024-05-13 | 8.1 | 22 | 4 | 2 | true | 92 | Great collaboration in team call. | Berlin | Berlin |
| LOG-007 | TEAM-A | 3000 | Australia | EMP-1007 | Ava Thompson | MGR-01 | 2024-05-13 | 7 | 20 | 3 | 1 | true | 82.7 | Provided market insights in morning briefing. | Sydney | NSW |
| LOG-008 | TEAM-B | 0 | Russia | EMP-1008 | Victor Petrov | MGR-02 | 2024-05-13 | 4.9 | 9 | 1 | 0 | true | 70.1 | No deals, needs coaching. | Moscow | Moscow |
| LOG-009 | TEAM-C | 6100.75 | Portugal | EMP-1009 | Sofia Costa | MGR-03 | 2024-05-13 | 8 | 24 | 5 | 2 | true | 90.4 | Strong follow-up skills. | Lisbon | Lisbon |
| LOG-010 | TEAM-A | 2800 | USA | EMP-1010 | David Kim | MGR-01 | 2024-05-13 | 6.1 | 15 | 2 | 1 | true | 80 | Shared sales strategy tips. | San Francisco | CA |
| LOG-011 | TEAM-B | 8700 | China | EMP-1011 | Emily Wang | MGR-02 | 2024-05-13 | 7.6 | 27 | 6 | 3 | true | 93.8 | Led afternoon team huddle. | Hong Kong | Hong Kong |
| LOG-012 | TEAM-C | 0 | Ireland | EMP-1012 | Jack O'Neil | MGR-03 | 2024-05-13 | 5.7 | 11 | 1 | 0 | true | 76.5 | Helped resolve CRM issue. | Dublin | Leinster |
| LOG-013 | TEAM-A | 5900 | UAE | EMP-1013 | Fatima Hassan | MGR-01 | 2024-05-13 | 8.4 | 23 | 4 | 2 | true | 89.7 | Great client rapport. | Dubai | Dubai |
| LOG-014 | TEAM-B | 2600 | USA | EMP-1014 | James Brown | MGR-02 | 2024-05-13 | 6.5 | 14 | 2 | 1 | true | 84 | blank | Chicago | IL |
| LOG-015 | TEAM-C | 3400 | Mexico | EMP-1015 | Linda Garza | MGR-03 | 2024-05-13 | 7.8 | 19 | 3 | 1 | true | 88.5 | Handled client objections well. | Mexico City | CDMX |
| LOG-016 | TEAM-A | 7050 | Russia | EMP-1016 | Olga Ivanova | MGR-01 | 2024-05-13 | 8.2 | 26 | 5 | 2 | true | 91.7 | blank | St. Petersburg | St. Petersburg |
| LOG-017 | TEAM-B | 3200 | Spain | EMP-1017 | Carlos Martinez | MGR-02 | 2024-05-13 | 7.2 | 20 | 3 | 1 | true | 86 | Needs to improve call efficiency. | Madrid | Madrid |
| LOG-018 | TEAM-C | 2100 | UK | EMP-1018 | Sarah Green | MGR-03 | 2024-05-13 | 6.3 | 13 | 2 | 1 | true | 79.5 | blank | Manchester | England |
| LOG-019 | TEAM-A | 9700 | Indonesia | EMP-1019 | Anwar Rahman | MGR-01 | 2024-05-13 | 8.5 | 28 | 5 | 3 | true | 94.2 | Hosted training session for new hires. | Jakarta | Jakarta |
| LOG-020 | TEAM-B | 2800 | Italy | EMP-1020 | Lucia Rossi | MGR-02 | 2024-05-13 | 7.9 | 21 | 3 | 1 | true | 88.9 | blank | Rome | Lazio |
What the 70 rows show
from the 70-row sampleTEAM-A (team id) stands out: mean revenue_
- 2,485median revenue_
generated - 8managers
- 7.7median hours_
worked - 18median sales_
calls_ made - 2median meetings_
held - 1median deals_
closed
Median 2,485, from 0.0 to 12,901.
- string 9
- integer 3
- float 3
- date 1
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
log_id | string | Unique identifier for each productivity log entryunique | LOG-001 |
employee_id | string | Unique identifier for the remote sales team member | EMP-1001 |
employee_name | string | Full name of the sales team member | Maria Alvarez |
team_id | string | Identifier for the sales team or group8 teams | TEAM-A |
manager_id | string | Unique identifier for the manager overseeing the employee8 managers | MGR-01 |
notes | string | Additional notes or comments from the employee or manageroptional | Strong follow-up skills. |
location_city | string | City where the employee was working remotelyoptional | Austin |
location_state | string | State or region where the employee was working remotelyoptional | TX |
location_country | string | Country where the employee was working remotelyoptional | USA |
| Numbers 6 columns | |||
hours_worked | float | Total hours worked by the employee on the given date0 to 24 | 7.5 |
sales_calls_made | integer | Number of sales calls made by the employee on the given date0 or more | 18 |
meetings_held | integer | Number of client meetings held by the employee on the given date0 or more | 3 |
deals_closed | integer | Number of sales deals closed by the employee on the given date0 or more | 1 |
revenue_generated | float | Total revenue generated by the employee on the given date0 or more | 3500.25 |
engagement_score | float | Score reflecting employee engagement (e.g., participation in team activities, responsiveness)0 to 100 · optional | 88.2 |
| Dates and times 1 column | |||
date | date | Date of the productivity log entry | 2024-05-13 |
| True or false 1 column | |||
compliance_check_passed | boolean | Indicates whether the employee met HR compliance requirements for the day | true |
Use it for
A human resources dashboard
Revenue_
generated by team_ id and a breakdown of location_ country. Excel, Power BI or Tableau. Why do the 12 TEAM-A rows have a mean revenue_
generated of 5,929? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs70LOG-0013500.25TEAM-ALOG-0026700TEAM-BLOG-0030TEAM-C
A software demo
Believable logs with employee_
id, employee_ name and team_ id to fill a screen in front of a buyer.
This dataset70 rows17 columns
Yours10,000 rows17 columnslocation_city: UK only
blueprint · remote-sales-team-productivity-log
Behind this dataset
Same schema. As many rows as you need.
These 70 rows came out of a blueprint — 17 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 entry represents a unique sales team member's weekly summary.
- Productivity score calculated from meetings attended, calls made, and deals closed.
- Compliance flag must be set if required documentation is missing.
- Engagement rating (1-5) is manager-assigned based on observed participation and responsiveness.
- Remote location must be specified for all team members working outside HQ.
Open the blueprint in Data Factory
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- remote-sales-team-productivity-log