Visier exports

Below we list all export types available for the Visier integration. Each export is delivered as a CSV file with a naming convention of tw_<export_type>_{YYYYMM}_{YYYYMMDD}.csv.

Skill Vocabulary

TechWolf syncs data regarding the Skills Vocabulary and your unique Skills Taxonomy to Visier in order to enable insights on Skill Cluster, and Skill (sub) Domain level.

View Skill Vocabulary export details

The Skill Vocabulary export (tw_skills_profile_{YYYYMM}_{YYYYMMDD}.csv) provides an overview of all Skills and their classification within the Taxonomy.The CSV contains one row for every Skill.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Skill ID	Uses ID of vocabulary that is enabled.
Skill Name	Uses Skill name of vocabulary that is enabled.
Skill Category	Skills Taxonomy Skill Domain if the Skill is in the Skills Taxonomy; else “Skills outside of the Taxonomy”.
Skill Category ID	Skills Taxonomy Skill Domain ID if the Skill is in the Skills Taxonomy; else empty.
Skill Sub-Category	Skills Taxonomy Skill Subdomain if the Skill is in the Skills Taxonomy; else default TechWolf Skill Domain.
Skill Sub-Category ID	Skills Taxonomy Skill Subdomain ID if the Skill is in the Skills Taxonomy; else empty.
Skill Group	Skills Taxonomy Skill Cluster if the Skill is in the Skills Taxonomy; else empty.
Skill Group ID	Skills Taxonomy Skill Cluster ID if the Skill is in the Skills Taxonomy; else empty.
Skill Data Source	”TechWolf”.
Skill Description	Uses Skill description of vocabulary that is enabled.

Employee Info

TechWolf syncs some metadata on the Employee to Visier, including a Job Skill Match Score for each Employee to enable Skill gap related insights.

View Employee Info export details

The Employee Info export (tw_employee_{YYYYMM}_{YYYYMMDD}.csv) provides an overview of all Employees.The CSV contains one row for every Employee.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Employee ID
Job ID	The unique ID of the Job the Employee is currently assigned to. Empty when the Employee has no assigned position.
Low Skill Data	Indicates whether or not the Employee has sufficient qualitative input data to build a Skill profile (and to include in data analysis).
Current Job Skill Match Score	Indicates the match score of the Employee with their current assigned position. This enables Skill gap related insights.

Employee Skills

TechWolf syncs all your Employee Skill profiles to Visier. On top of that, we can also sync the Skills these Employees are expected to have based on their current assigned Job, alongside proficiency levels from multiple sources, whether or not these Skills are critical for the Job, the sources from which the Skill was inferred, and whether it was inferred from Employee data.

View Employee Skills export details

The Employee Skills export (tw_employee_skills_{YYYYMM}_{YYYYMMDD}.csv) provides detailed Skill data for every Employee-Skill combination.The CSV contains one row for every Employee-Skill pair.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Date Recognized
Employee ID
Job ID
Skill ID
Employee Skill ID	Format: [employee_id]-[skill_id].
Employee Skill State	”Validated”; “Suggested”; “N/A” if the Skill only exists on the Job side.
Job Skill State	”Validated”; “Suggested”; “N/A” if the Skill only exists on the Employee side.
Employee Suggested Skill Level Code	Skill level inferred by TechWolf (numeric value); -1 if no inference was possible or Skill is not applicable.
Employee Suggested Skill Level Name	Mapped label for the suggested level.
Employee Self-rated Skill Level Code	Skill level self-rated by the Employee (numeric value); 0 if not set/validated; -1 if Skill is not applicable.
Employee Self-rated Skill Level Name	Mapped label for the self-rated level.
Employee Manager-rated Skill Level Code	Skill level rated by a N+1 (numeric value); 0 if not set/validated; -1 if Skill is not applicable.
Employee Manager-rated Skill Level Name	Mapped label for the manager-rated level.
Employee Peer-rated Skill Level Code	Skill level rated by a peer (numeric value); 0 if not set/validated; -1 if Skill is not applicable.
Employee Peer-rated Skill Level Name	Mapped label for the peer-rated level.
Employee Assessed Skill Level Code	Skill level rated via an assessment tool (numeric value); 0 if not set/validated; -1 if Skill is not applicable.
Employee Assessed Skill Level Name	Mapped label for the assessed level.
Employee Acquired Skill Level Code	Final computed Skill level; calculation based on client’s preference; -1 if Skill is not applicable.
Employee Acquired Skill Level Name	Mapped label for the acquired level.
Job Expected Skill Level Code	Required Skill level for the Job, sourced from the Job’s Skill profile. Per-customer setting picks the source: validated (governed Skill level only) or suggested (governed value; falls back to TechWolf-inferred when no governed value is set). -1 if no value is available.
Job Expected Skill Level Name	Mapped label for the expected level.
Critical Skill	Whether the Skill is marked as “Critical” for the Job; 2 when critical, else 0. The same per-customer setting that drives Job Expected Skill Level Code picks the source: validated (governed Critical only) or suggested (governed value; falls back to inferred when no governed value is set).
Sources	Lists the sources from which the Skill was inferred.
Inferred from Employee Data	Indicates whether the Skill was inferred from Employee data or solely based on validation (feedback).

Matching Jobs for Employee

TechWolf syncs internal mobility data to Visier. This includes data on which Jobs are best suited for Employees. The simple file shows the matching scores.

View Matching Jobs for Employee export details

The Matching Jobs for Employee export (tw_matching_jobs_{YYYYMM}_{YYYYMMDD}.csv) provides match scores between Employees and Jobs.The CSV contains one row for every Employee-Job match.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Employee ID
Job ID
Matching Score	Indicates the match score between the Employee and a certain Job.

Currently supported configurations are:

Set the score_min_threshold: only include matches with a score above this threshold, higher values mean stricter matching.
Set the max_matches_per_entity: limit how many matching Jobs are shown for each Employee.
Set exclude_low_data_available_entities: when set to true, Jobs with low data availability are excluded from the matching results.
Set mapping_filter: only keep rows where Employee and Job Custom Properties match the configured mapping.
Filters: add custom filters on Custom Properties to further refine the results.

Matching Jobs for Employee Explained

The explained file goes deeper into these matches and shows which Skills are present, covered, or missing.

View Matching Jobs for Employee Explained export details

The Matching Jobs for Employee Explained export (tw_matching_jobs_explained_{YYYYMM}_{YYYYMMDD}.csv) provides a Skill-level explanation of Employee-Job matches.The CSV contains one row for every Skill in each Employee-Job match.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Employee ID
Job ID
Status	Indicates the status of the match: “present” when the Adjacent Skill ID equals the Skill ID, “covered” when the Adjacent Skill ID does not equal the Skill ID, and “missing” when there is no Adjacent Skill ID.
Skill ID	Skill that the Job has.
Adjacent Skill ID	The most similar adjacent Skill that the Employee has; empty if the Skill is missing.
Adjacency Score	Indicates the adjacency score between the required Skill and the adjacent Skill.

Currently supported configurations are:

Set the score_min_threshold: only include matches with a score above this threshold, higher values mean stricter matching.
Set the max_matches_per_entity: limit how many matching Jobs are shown for each Employee.
Set exclude_low_data_available_entities: when set to true, Jobs with low data availability are excluded from the matching results.
Set mapping_filter: only keep rows where Employee and Job Custom Properties match the configured mapping.
Filters: add custom filters on Custom Properties to further refine the results.

Matching Employees for Job

Provides matching scores between Jobs and Employees, indicating how well Employees match a given Job’s requirements. Uses the same schema as Matching Jobs for Employee but from the Job’s perspective.

View Matching Employees for Job export details

The Matching Employees for Job export (tw_matching_employees_{YYYYMM}_{YYYYMMDD}.csv) provides match scores between Jobs and Employees.The CSV contains one row for every Job-Employee match.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Employee ID
Job ID
Matching Score	Indicates the match score between the Job and a certain Employee.

Currently supported configurations are:

Set the score_min_threshold: only include matches with a score above this threshold, higher values mean stricter matching.
Set the max_matches_per_entity: limit how many matching Employees are shown for each Job.
Set exclude_low_data_available_entities: when set to true, Employees with low data availability are excluded from the matching results.
Set mapping_filter: only keep rows where Employee and Job Custom Properties match the configured mapping.
Filters: add custom filters on Custom Properties to further refine the results.

Matching Employees for Job Explained

Provides a Skill-level breakdown of Job-Employee matches. Uses the same schema as Matching Jobs for Employee Explained but from the Job’s perspective.

View Matching Employees for Job Explained export details

The Matching Employees for Job Explained export (tw_matching_employees_explained_{YYYYMM}_{YYYYMMDD}.csv) provides a Skill-level explanation of Job-Employee matches.The CSV contains one row for every Skill in each Job-Employee match.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Employee ID
Job ID
Status	Indicates the current status of the match: “present” when the Adjacent Skill ID equals the Skill ID, “covered” when the Adjacent Skill ID does not equal the Skill ID, and “missing” when there is no Adjacent Skill ID.
Skill ID	Skill that the Job has.
Adjacent Skill ID	Adjacent Skill in the Employee’s Skill profile.
Adjacency Score	Indicates the adjacency score between the required Skill and the adjacent Skill.

Currently supported configurations are:

Set the score_min_threshold: only include matches with a score above this threshold, higher values mean stricter matching.
Set the max_matches_per_entity: limit how many matching Employees are shown for each Job.
Set exclude_low_data_available_entities: when set to true, Employees with low data availability are excluded from the matching results.
Set mapping_filter: only keep rows where Employee and Job Custom Properties match the configured mapping.
Filters: add custom filters on Custom Properties to further refine the results.

Job Info

TechWolf syncs data regarding the Jobs and their fields.

View Job Info export details

The Job Info export (tw_job_info_{YYYYMM}_{YYYYMMDD}.csv) provides an overview of all Jobs.The CSV contains one row for every Job.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Job ID
Job Name
Job Family
Job Family Group
Low Data Availability	Indicates whether or not the Job has sufficient qualitative input data to build a Skill profile (and to include in data analysis).
Active	Indicates whether the Job will be used in internal mobility. It will not be used in matching if it is False. This is useful when a Job is being phased out.
Last Updated

Job Skills

Provides detailed Skill information for each Job, including proficiency levels from different rating sources and the Skill’s state.

View Job Skills export details

The Job Skills export (tw_job_skills_{YYYYMM}_{YYYYMMDD}.csv) provides detailed Skill data for every Job-Skill combination.The CSV contains one row for every Job-Skill pair.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Date Recognized
Job ID
Skill ID
Job Skill ID	Format: [job_id]-[skill_id].
Job Skill State	”Validated”; “Suggested”.
Job Suggested Skill Level Code	Skill level inferred by TechWolf (numeric value); -1 if no inference was possible.
Job Suggested Skill Level Name	Mapped label for the suggested level.
Job Validated Skill Level Code	Skill level validated in the TechWolf Console; 0 if not validated.
Job Validated Skill Level Name	Mapped label for the validated level.
Job Expected Skill Level Code	Required Skill level for the Job. Per-customer setting picks the source: validated (governed Skill level only) or suggested (governed value; falls back to TechWolf-inferred when no governed value is set). -1 if no value is available.
Job Expected Skill Level Name	Mapped label for the expected level.
Job Validated Critical Skill Value	Whether the Skill is marked as “Critical” for the Job based on the governed (validated) value; 2 when critical, else 0.
Job Suggested Critical Skill Value	Whether the Skill is inferred as “Critical” for the Job by TechWolf; 2 when critical, else 0.

Work Intelligence exports

The following exports are only available when the Work Intelligence feature is enabled. They provide Task-level data for Jobs, including AI impact metrics.

Task Info

Master table containing unique Task information, including Task hierarchy and AI impact classification.

View Task Info export details

The Task Info export (tw_task_info_{YYYYMM}_{YYYYMMDD}.csv) provides an overview of all Tasks.The CSV contains one row per unique Task across all Jobs.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Task	Raw Task description as identified in Job.
Task ID	Unique identifier for the Task.
Canonical Task	Standardized/canonical version of the Task (level 4); empty is labeled as “Not Classified”.
Canonical Task ID	Unique identifier for the Canonical Task; empty when the Task is not classified.
Cluster	Task Cluster in hierarchy (level 3); empty is labeled as “Not Classified”.
Cluster ID	Unique identifier for the Cluster; empty when the Task is not classified.
Subdomain	Task Subdomain in hierarchy (level 2); empty is labeled as “Not Classified”.
Subdomain ID	Unique identifier for the Subdomain; empty when the Task is not classified.
Domain	Task Domain in hierarchy (level 1); empty is labeled as “Not Classified”.
Domain ID	Unique identifier for the Domain; empty when the Task is not classified.
AI Impact	AI impact classification: “automatable”, “augmentable”, or “human”.
HAS_level	HAS (Human-AI Spectrum) level: “H1”, “H2”, “H3”, “H4”, or “H5”.
AI Impact Rationale	Explanation for the AI impact classification.
task_source	Origin of the Task: `vocabulary` (work taxonomy) or `custom` (tenant-authored).

Job Task

Junction table linking Jobs to their constituent Tasks with time allocation.

View Job Task export details

The Job Task export (tw_job_task_{YYYYMM}_{YYYYMMDD}.csv) provides the relationship between Jobs and Tasks.The CSV contains one row per Job-Task relationship.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Job ID	External identifier for the Job.
Job Title	Title of the Job.
Task	Raw Task description.
Task ID	Unique identifier for the Task (FK to Task Info).
Weekly Hours	Number of hours per week spent on this Task.
Validation State	Validation state in the governance cycle: “suggested”, “rejected”, or “validated”.

Job Task Skill

Junction table linking Jobs and Tasks to the Skills required to perform them.

View Job Task Skill export details

The Job Task Skill export (tw_job_task_skill_{YYYYMM}_{YYYYMMDD}.csv) provides the Skills linked to each Job-Task combination.The CSV contains one row per Job-Task-Skill relationship.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Job ID	External identifier for the Job.
Job Title	Title of the Job.
Task	Raw Task description.
Task ID	Unique identifier for the Task (FK to Task Info).
Linked Skills ID	Unique identifier for the Skill.
Linked Skills	Name of the Skill.
Validation State	Validation state in the governance cycle: “suggested”, “rejected”, or “validated”.

Job Info (Work Intelligence)

Master table containing Job metadata and aggregated AI impact metrics.

View Job Info (Work Intelligence) export details

The Job Info Work Intelligence export (tw_job_info_wi_{YYYYMM}_{YYYYMMDD}.csv) provides Job data enriched with AI impact scores.The CSV contains one row per unique Job.Business rules:

augmentable + automatable + human = 1.00 (always sum to exactly 1.00).
Proportions are calculated by weighting Task-level AI impact by weekly_hours.
Overall potential is the category with the highest proportion.

Field	Note
Snapshot Date	Format: YYYY-MM-DD.
Job ID	External identifier for the Job.
Job Name	Title/name of the Job.
Job Family	Job Family classification.
Job Family Group	Job Family Group classification.
Augmentable	Proportion of Job that is augmentable by AI (decimal, 0.00-1.00).
Automatable	Proportion of Job that is automatable by AI (decimal, 0.00-1.00).
Human	Proportion of Job requiring human-only work (decimal, 0.00-1.00).
Overall potential	Dominant AI impact category for the Job: “augmentable”, “automatable”, or “human”.
Low Data Availability	Flag indicating low data quality for this Job.
Active	Whether the Job is currently active.
Last Updated	Date Job information was last updated.

Integrations

Datasource Integrations

Employee Skill Assistant

TechWolf Analyst Agent

Skill Sync Integrations

Reporting

Webhooks

References

Skill Vocabulary

Employee Info

Employee Skills

Matching Jobs for Employee

Matching Jobs for Employee Explained

Matching Employees for Job

Matching Employees for Job Explained

Job Info

Job Skills

Work Intelligence exports

Task Info

Job Task

Job Task Skill

Job Info (Work Intelligence)

​Skill Vocabulary

​Employee Info

​Employee Skills

​Matching Jobs for Employee

​Matching Jobs for Employee Explained

​Matching Employees for Job

​Matching Employees for Job Explained

​Job Info

​Job Skills

​Work Intelligence exports

​Task Info

​Job Task

​Job Task Skill

​Job Info (Work Intelligence)

Skill Vocabulary

Employee Info

Employee Skills

Matching Jobs for Employee

Matching Jobs for Employee Explained

Matching Employees for Job

Matching Employees for Job Explained

Job Info

Job Skills

Work Intelligence exports

Task Info

Job Task

Job Task Skill

Job Info (Work Intelligence)