Platform Documentation

Clear insight, built on a trusted process.

Cultara transforms anonymized organizational communication signals into clear, decision-ready insight. This guide explains the process at a high level, including how data is prepared, protected, analyzed, and translated into reliable findings without exposing sensitive information or unnecessary technical complexity.

Built around three principles
Privacy by design
Sensitive information is anonymized before communication data is made available to Cultara.
Evidence-based analysis
Findings are grounded in patterns found within real workplace communication, not survey responses alone.
Decision-ready results
Complex cultural signals are translated into clear findings, risks, strengths, and recommended actions.
How Cultara works

A controlled path from communication data to decision-ready insight.

Cultara separates data preparation, protected processing, analysis, and reporting into distinct stages. This creates clear control points for privacy, security, data quality, and responsible use throughout the assessment.

Stage 01

Assessment scope is defined

The customer defines the business objective, participating organizations or groups, assessment period, and intended use of the results before any analysis begins.

Stage 02

Data is prepared securely

Communication data is prepared within the customer-controlled environment. Personal and sensitive identifiers are removed before the approved, anonymized dataset is made available to Cultara.

Stage 03

Organizational patterns are evaluated

Cultara evaluates broad behavioural patterns across the approved dataset. Findings are based on recurring evidence across many communications rather than isolated messages or individual activity.

Stage 04

Results are validated and presented

Evidence is consolidated into findings, confidence indicators, risks, strengths, and recommended actions aligned with the stated business objective and assessment design.

Each stage has a distinct purpose and control boundary.

The sections below explain the safeguards, responsibilities, and quality controls applied at each stage without exposing Cultara’s proprietary analytical methods.

Platform governance

Access remains under customer control.

Cultara provides clear administrative controls around who can access the platform, how work is separated, and how important activity is recorded. These controls begin when an organization is created and continue throughout the assessment lifecycle.

Agreement before processing

Acceptance of the Data Processing Agreement is built into organization creation. This establishes the terms for handling customer data before an assessment dataset is uploaded or processed.

Controlled and flexible access

The Organization Owner controls membership and organization-level permissions. Access can also be separated by workspace so users only see the assessments, data, and results relevant to their role.

Reviewable activity history

Critical administrative and assessment activities are recorded in a readable audit history, supporting internal oversight, security reviews, investigations, and compliance reporting needs.

Governance is customer-controlled.

Organization Owners determine who can access the environment, which workspaces users can see, and who can create, edit, or review assessments. Cultara is designed to evaluate organizational patterns, not individual employee performance.

Secure data preparation
Sensitive information is removed before Cultara receives the data.
Data is prepared inside the customer-controlled environment. Cultara’s local parser uses Microsoft Presidio to detect and replace sensitive identifiers before the approved dataset is provided for analysis.
Preparation stays within the customer environment
The customer selects the source data, date range, and output location. Prepared files remain under customer control until they are reviewed and approved.
Customer-selected data
The customer chooses the approved sources, dates, and participants. Cultara does not connect directly to customer email or messaging systems.
Local anonymization with Microsoft Presidio
Presidio detects identifiers such as names, email addresses, and telephone numbers. Detected values are replaced with non-identifying tokens.
Reviewable output
The parser creates anonymized content and limited processing metadata. The customer can review the output before approving it.
What Cultara receives
Only the prepared data needed for the approved assessment.
Anonymized communication content
Approved message dates and metadata
Limited processing metadata
Cultara does not require
Direct system access, raw communication files, employee credentials, or persistent platform connections.
Raw data remains under customer control.
Analysis begins only after preparation is complete and the customer approves the anonymized dataset.
Protected processing
Anonymized data is processed within a controlled environment.
Cultara applies access controls, isolated storage, and monitored processing to protect each customer environment throughout the assessment.
Isolated customer environments
Customer data is separated by organization, workspace, and assessment to reduce the risk of unauthorized cross-customer access.
Controlled access
Access is limited to authorized users and services based on their role and processing responsibility.
Monitored processing
System activity and operational events are monitored to support security, reliability, and issue investigation.
Processing is limited to the approved assessment purpose.
Cultara uses customer data only to deliver the authorized assessment and does not use it to train shared artificial intelligence models.
Analysis quality
Confidence comes from the strength and depth of the evidence.
Cultara uses more than 20 trained models, with additional models added as the platform evolves, to detect behavioural signals associated with organizational culture. Findings are produced only after those signals are evaluated, compared, and consolidated across the approved dataset.
A multi-stage approach to evidence
Each stage narrows the evidence to the signals most relevant to the behaviour being examined before results are calculated.
Trained cultural models
More than 20 trained models detect different behavioural signals across decisions, collaboration, accountability, communication, adaptability, and other cultural dimensions.
Behaviour-specific evidence
Signals are assessed against the specific behaviour under review, helping reduce the influence of unrelated or weakly relevant communication.
Broad evidence coverage
Results are based on recurring evidence across many communications rather than individual messages, participants, or isolated events.
Consolidated assessment
Supporting signals are combined into an organizational finding with a score, confidence level, and representative evidence.
How confidence is determined
Confidence reflects the quality and sufficiency of the evidence supporting each result.
Evidence volume
How many meaningful signals support the behaviour being examined.
Evidence strength
How clearly the detected signals demonstrate the relevant behaviour.
Evidence consistency
Whether the pattern appears repeatedly across the dataset rather than in isolated examples.
Limited evidence is treated as limited evidence.
When the available signals are insufficient, inconsistent, or weak, the confidence level reflects that limitation rather than overstating the result.
Results and responsible use
Findings are designed to support informed action.
Cultara converts complex cultural signals into clear findings, supporting evidence, risks, strengths, and recommended actions tied to the assessment objective.
What the assessment provides
Results are organized to help leaders understand what is happening, why it matters, and where action may be required.
Clear cultural findings
Scores and summaries show the prevailing cultural patterns and how they relate to the business objective.
Supporting evidence
Representative anonymized excerpts help authorized users understand the basis for each finding.
Risks and strengths
Results highlight areas that may create friction as well as cultural strengths that can support execution.
Recommended actions
Practical actions connect cultural findings to the priorities and outcomes defined for the assessment.
Designed for responsible interpretation
Cultara provides decision support. Results should be considered with business context and human judgement.
Organizational focus
Findings describe group-level cultural patterns rather than individual employee performance.
Human review
Leaders review findings, evidence, and context before deciding what action is appropriate.
No automated personnel decisions
Cultara is not intended to make hiring, termination, promotion, or other automated employment decisions.
Evidence remains connected to the result.
Authorized users can review representative anonymized evidence and confidence information alongside findings, reducing reliance on unexplained scores or unsupported conclusions.
Ready to put Cultara into action?
Now that you have seen how Cultara approaches privacy, security, and analysis, follow the Getting Started guide to create your organization, prepare your data, and launch your first assessment. Our team is also available if you have questions.
Getting Started  → Contact Us