Organizational Diagnostics

The Future of Workplace Intelligence is Here

Building AI-Powered Organizational Diagnostic Models, Measures and Platforms that Decodes Workplace Dynamics and Predict Issues Before They Impact Your Bottom Line.

The Current Approach to Organizational Diagnosis & Decision Making

Most organizations today rely on outdated and fragmented methods for decision-making which severely limits their ability to effectively respond to contemporary business challenges.

Siloed Data Systems

Important HR, financial, and operational data are living in separate systems with no integration. This makes making informed decisions impossible

Top-Down Diagnostics & Decisions

Deploying top-down diagnostics and decisions impose one-size-fits all solutions to problems without considering the unique needs, insights, challenges and views of employees and other stakeholders.

Periodic Employee Surveys

Static, once-a-year snapshots of organizational health with insights that are outdated before the results are even analyzed.

Focus on Symptoms, Not Causes

They jump to solutions by adressing surface-level issues and outcomes, rather than investigating the underlying causes of problems.

Narrow View of Organizational Functioning

Alms
Almost all organizational diagnostic systems fail to provide a holistic view of organizational health as they gathering intelligence solely from internal stakeholders’ feedback, and excludes crucial insights other stakeholder insights (e.g. customers, suppliers)

Over-Reliance on Self-Report Measures

Most diagnostic solutions rely heavily on static, subjective self-assessed feedback from internal stakeholders that’s rife with bias and doesn’t incorporate objective indicators from internal (e.g. financial systems, HRM data like absenteeism) and external systems (e.g. customer complaints).

Slow Decision-Making and Reactive Problem Solving

Traditional decision making methods are time-consuming and fail to adapt to the fast-paced demands of today’s business environment. Decisions are often made using retrospective data and issues are only addressed after they’ve already caused significant harm to performance, engagement and revenue.

Poor Data Quality Data and Unreliable Insights

Decisions are often made based on incomplete, outdated, or unreliable data which leads to poor decision-making.

Decisions Made from the Gut

In a recent study, 62% of executives admitted to rely on their own personal experience or gut over data when making decisions.

Diagnostics not linked to Hard Performance Metrics

Organizational Diagnostic measures are often not linked to real-world, objective business performance indicators (e.g. EBIT, Financial performance) thus hindering their relevance to provide actual intelligence that will drive growth.

Lack of Real-Time Insights

Current assessments use point-in-time snapshots of organizational functioning which don’t reflect current, dynamically changing realities of the organization.

No Predictive Capability

Most assessment approaches only provide a descriptive overview of the current reality of the organization. As such, they lack the capability to provide deeper diagnostic insights, prescriptive feedback, and to anticipate or prevent future challenges.

The Hidden Costs of Ineffective Diagnostics

Traditional approaches to organisational diagnostics tend hinder rather than help organizations.

These approaches not only forces leaders to make crucial decisions about their people, based on poor data, but costs organizations millions in lost revenue.

The Financial Costs

The financial consequences of poor organizational diagnostics extend far beyond the obvious costs of failed initiatives. When organizations make decisions based on flawed or incomplete data, they not only waste resources on ineffective interventions but also suffer hidden costs through decreased productivity, missed opportunities, and the compound effect of unaddressed issues. The true financial impact becomes evident when we examine the full scope of these losses:

  • Organizations lose up to 30% of their annual revenues due to ineffective decision-making based on incomplete or inaccurate organizational data (Gartner Research, 2023)
  • Failed organizational change initiatives cost large companies an average of $5,000 per employee in lost productivity and direct costs (McKinsey & Company, 2021)
  •  88% of the money spent on training and development initiatives fails to result in measurable business impact due to poor diagnostic alignment (HBR, 2023)
  • Poor organizational diagnostics lead to an average of 23% budget overflow on major change initiatives due to unforeseen issues and complications.

The Operational Costs

Operational excellence depends on the ability to identify, understand, and address organizational challenges before they cascade into systemic problems. Traditional diagnostic approaches create dangerous blind spots in operational oversight, leading to a reactive rather than proactive management style. The resulting operational inefficiencies manifest in multiple ways that compound over time:

  • Organizations take an average of 6-9 months to identify significant organizational issues using traditional diagnostic methods, by which time the problem has typically escalated (Deloitte, 2024)
  • 70% of organizational change programs fail to achieve their goals, largely due to poor initial diagnosis and misaligned interventions (BCG, 2020)
  • 82% of organizations report making major strategic decisions without being able to access all relevant organizational data (MIT, 2022).
  • Teams operating under misdiagnosed organizational issues show a 37% decrease in productivity compared to well-aligned teams (Gallup, 2024)
     

The Human Costs

Perhaps the most significant yet often overlooked consequence of poor organizational diagnostics is its impact on people. When organizations fail to accurately diagnose workplace issues, they create a disconnect between institutional actions and employee needs. This misalignment doesn’t just affect individual performance—it fundamentally erodes the human foundation of the organization, leading to a cascade of workforce challenges:

  • 75% of employees report feeling disconnected from organizational strategy due to misaligned interventions based on poor diagnostic data (Global Workplace Report, 2023)
  • 68% of employees lose trust in leadership when organizational changes fail to address real issues, leading to a 34% decrease in engagement (Edelman, 2022).
  • Organizations with poor diagnostic practices experience 3x higher turnover rates among high-performing employees (Bouwers et al., 2022)

Whats Our Solution?

The Persona 360: A Smarter, Science-Driven Methodology

Features

Our Ai-Driven 360º Organisational Health Diagnostic Methodology

At Psynalytics, we develop tailored, science-based, data-driven organizational diagnostic solutions and assessment methodologies that provide meaningful insights.

We design AI-Driven, Multi-trait, Multi-Source, Multi-Method Diagnostic solutions and platforms that provides you with a holistic, real-time view of your organization’s health.

Learn More

The Persona 360 Methodology

Our Methodology

The Persona 360 is an AI-driven organizational diagnostic methodology that helps companies stop wasting billions on interventions that don’t work. Current platforms only provide a narrow, one-dimensional view of organizational health, relying on outdated data and metrics that don’t link to business-critical outcomes like performance or turnover. We’re different.

The Persona 360 gives you a holistic, real-time view of your organization by integrating feedback from employees, customers, and suppliers, and combining both quantitative and qualitative data. Our approach doesn’t just describe the current state of your company; it diagnoses the root causes of problems, predicts future outcomes, and prescribes hyper-personalized action strategies at every level—individual, team, and organizational.

Further, we dont just stop at modelling employee experiences, our method allows companies to link these ‘soft’ metrics, like employee engagement, directly to ‘hard’ business outcomes, like EBIT and turnover. Thus, it provides an accurate reflection of how organizational dynamics affect actual performance, and we can thus provide actionable insights that truly drive growth.

Backed by real science and not just ‘evidence-based’ claims, Persona 360 is built by experts in psychology and AI to ensure your organization grows strategically and efficiently.”

 

Feature Set

Our methodological approach has several key features which makes it distinct from other approaches in the market:

  • Holistic 360-Degree View: Provides a holistic analysis of organisational health by incorporating the views from internal (i.e. employees), and external (e.g. customers, clients, suppliers, communities) stakeholders.
  • Informed by both Subjective and Objective Data Sources: Incorporates the voices of internal/external stakeholders (e.g. self-assessments) as well as objective indicators (e.g. HRIS information, customer complaints, social media monitoring). Fully integrated into internal- and external systems (e.g. CRM)
  • Linked to Direct Business Outcomes: Connects diagnostics directly to core business metrics (e.g. revenue growth) to ensuring relevant and actionable insights.
  • Understanding the Drivers and Outcomes of Org Health: Provide intelligence around the drivers and outcomes of organisational health to ensure that appropriate action can be taken that targets the right stuff.
  • Based on Real-Time Data: Continuous data streaming ensuring decisions are based on the most current information.
  • AI Driven Insights: Uses advanced supervised machine learning to analyse and integrate both qualitative and quantitative data from diverse sources to identify patterns, trends, and correlations that might not be apparent through traditional analysis method. This is used to provide hyper-personalised and multi-leveld action strategies to improve organisational health
  • Provide a multi-faceted understanding of organizational issues, from current state analysis to future predictions: Aggregating and summarizing data to provide insights into current organisational health and performance (Descriptive). Identify root causes of current challenges or risks (Diagnostic). Forecast future trends and potential outcomes based on data analysis (Predictive). Monitor and report on evolving trends in real-time (Real-Time Trends). Recommend specific actions to improve alignment with organizational values (Prescriptive).
  • Dynamic Real-Time Interactive Reporting. Deliver actionable insights to decision-makers in a timely, accessible, and relevant manner.
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting
Providing a Holistic 360-Degree View
Informed by Subjective and Objective Data Sources
Linked to Direct Business Outcomes
Understands Drivers and Outcomes of Organisational Health
Based on Real-Time Data
Advanced AI Driven Analytics and Insights
Advanced Predictive Analytics
Dynamic Real-Time Interactive Reporting

The Persona 360º Assessment Methodology

We provide a holistic evaluation of the entire business ecosystem by capturing the experiences of all your internal and external stakeholders, to identify the key factors driving your organization’s performance and health.

Diverse Data Sources

Employ both subjective report (i.e. surveys, feedback) and Objective Data (e.g. Integration with HRIS) to better estimate different aspects of organizational health

Interval Assessment Methodology

Tailored Assessment Approach for Quarterly, Monthly, Weekly and Real-Time Insights

Multi-Source Assessment Approach

Building AI-Powered Organizational Diagnostic Models and Measures that Decodes Workplace Dynamics and Predict Issues Before They Impact Your Bottom Line

Multi-Trait, Multi-Measures

Assessing both internal experience, and external perceptions of organizational health as well as identify the Drivers and Outcomes of thereof

Multi-Source Assessment Approach

Building AI-Powered Organizational Diagnostic Models and Measures that Decodes Workplace Dynamics and Predict Issues Before They Impact Your Bottom Line

Diverse Data Sources

Employ both subjective report (i.e. surveys, feedback) and Objective Data (e.g. Integration with HRIS) to better estimate different aspects of organizational health

Multi-Trait, Multi-Measures

Assessing both internal experience, and external perceptions of organizational health as well as identify the Drivers and Outcomes of thereof

Interval Assessment Methodology

Tailored Assessment Approach for Quarterly, Monthly, Weekly and Real-Time Insights

Approach

How we develop tailormade Organizational Diagnostic Models

Adhering to best practices in psychometric test development proposed by Van Zyl & Ten Klooster (2022), we employ a rigorous, multi-phased methodology to design robust assessment models.

Learn More

The Persona 360 Methodology

Our Approach

This multifaceted approach ensures a balanced and comprehensive development process of each of our bespoke diagnostic models. Each phase is meticulously designed to build upon its predecessors, ensuring a comprehensive understanding and accurate measurement, of organizational health within your unique business environment. This methodology guides the development of a robust measurement model and validated diagnostic tools that can provide genuine, meaningful insights.

 

The design process comprises six critical steps:

  1. Development and Operationalization of the Organizational Health Diagnostic Measurement Model
  2. Design of Test Specifications and Assessment Methodology
  3. Development of the Organizational Diagnostic Assessment Measures
  4. Pilot testing and refining the Measures
  5. Psychometric Evaluation and Validation
  6. Development of Scoring and Reporting Systems and Establishing Norms

 

 

 

Operationalising The Persona 360º Diagnostic Framework

Developing a Conceptual Measurement Model

The purpose is to develop a bespoke measurement model centered around the unique environment in which your organization functions.

Here, we identify both what explains what inputs are required to develop the Organizational Health Persona Score and to link the Persona to core business outcomes and stakeholder perceptions.

Read About Our Process

The Persona 360 Methodology

Developing a conceptual process model

The development of a standardized measurement model for organizational health is a critical first step. The measurement model aims to operationalize the core elements of what constitutes Organizational Health from the perspective of all of the organization;s stakeholders and to and to create clarity with regards to the specific, measurable competencies, behaviours and experiences which drive these elements. This measurement model will also aid in facilitating cross-business alignment on what constitutes organizational health by standardizing the understanding of its core elements across the different businesses (whilst also allowing for contextual variations).

 

To develop and operationalise this measurement model, a three step process is followed:

 

  • First, we conduct an indepth conceptual analysis in order to gather insights into and define the core elements of what constitutes organizational health within the goven context
  • Second, to translate the this into a functional competency assessment framework with measurable and easy to understand behavioural indicators.
  • Finally, to design a conceptual measurement model and a theoretical process model that identifies the drivers (i.e. antecedents) and business outcomes of the O&L Persona.

 

Step 1: A Conceptual Analysis of Organizational Health

The purpose of the conceptual analysis is to gain insights into and define the core elements of organizational health from the perspective of the organization’s key stakeholders and what types of information will be needed in order to create an overall Organizational Health Persona Score. The process involves the following:

 

  • Conducting in-depth interviews with executive leadership to understand their vision, the organization’s growth goals, strategic imperatives, key performance indicators, business growth strategy and the ecological systems in which it functions and how these relate to the O&L Persona.
  • Analyze existing documentation (e.g., strategy documents, corporate values, mission statements, brand guidelines) to identify the foundational elements and drivers that define the organizational health
  • Conducting in-depth interviews and focus groups with key internal stakeholders from the different subsidiaries (e.g., executive leadership, department heads, and employees across various levels) and human resources to understand their perceptions of whats important within the organization
  • Engage external stakeholders (e.g., customers, suppliers, and community members) through interviews to capture their experiences and expectations related to organizational health
  • Synthesize this data to conceptually map out the attributes, competencies, behaviors, values, and experiences that are consistently associated with organizational health and how these are expressed through internal- and experienced by external stakeholders.

 

Step 2: Developing an Assessment Framework with Measurable Behavioural Indicators

The purpose of this step is to help translate the things that constitute organizational health into measurable behaviours and experiences through an active process of co-creation between stakeholders. The aim is to co-create a competency framework that aligns with the attributes of what constitutes organizational health which was identified in the previous step.

 

To develop this framework a participatory action research (PAR) approach will be employed with key internal and external stakeholders in order to collaboratively co-create the core competencies and experiences that reflect the essence of each of the telements underpinning organizational health. PAR is an applied, iterative research methodology that focuses on collaboration and active involvement between the consultant and participants/stakeholders as a process of knowledge creation through self-inquiry, and social change. PAR involves conducting multiple rounds of (1) Planning (designing activities to explore and define competencies), (2) Action (implementing these activities), (3) Observation (collecting data on outcomes) (5) Reflection (analyzing results and planning next steps) and (5) Refinement (presenting results back to participants for further refinement). In practical terms, this iterative process will involve the following process:

 

  • Identify Key Stakeholders Across All Business Units and Levels within the organization
  • Conduct a kick-off workshop with these key stakeholders to introduce the PAR methodology, to collectively define the objectives of the process, and to start exploring their collective understanding of the organizational health and its underlying elements
  • Conduct multiple rounds of data collection with these key stakeholders through participatory focus groups
  • Hosting collaborative analysis sessions with these stakeholders to collectively analyse the data to help identify and refine emerging themes which can be translated into competencies and measurable experiences. The data will be processed through AI-driven thematic content analysis.
  • Once data saturation is achieved, we will co-create a draft competency model based on the collectively analysed data
  • These competencies will then be translated into specific individual and collective behavioural indicators that can be observed and measured.
  • The competency framework and behavioural indicators and the associated external experience framework will then be validated through workshops with internal stakeholders and executive leadership to ensure it truly reflects whats important and to ensure that it resonates with the different business.
  • The assessment framework will then be refined based on feedback and we will create a finalized measurement model that will serve as the foundation for the diagnostic tool.

 

Step 3: Developing a conceptual model and theoretical predictive process model

The step involves understanding what experiences and processes from the various internal and external stakeholders will be required to develop an overall Organizational Health Score and what subjective (e.g. self-report measures) and objective data sources (e.g. financial performance) will be required to constitute the score. This will act as the architecture for designing the the assessment measures and the associated predictive process model.

 

The second process aims to identify the drivers (i.e. antecedents) of organizational health and how the this affects important business and people outcomes. By understanding the drivers, it affords the opportunity to identify the specific areas that can be targeted to improve the O&L Persona score. Further, by linking the Persona to tangible hard and soft metrics such as customer satisfaction, employee engagement, and financial performance, this model provides a clear framework for measuring and improving organizational health. This ensures that the model is not just a conceptual ideal but a practical tool for driving consistent, positive results in all areas of the business.

 

To develop the conceptual model and the predictive process model the following approach will be employed:

 

  • Conducting a literature review to explore existing models of similar corporate personas, brand identities, and their impact on business performance.
  • Developing a conceptual model for the Organizational Health Score and what subjective and objective data will be required. The specific factors to be measured can only be decided upon after through consultation with the various stakeholders.
  • Developing a conceptual predictive process model that hypothesizes the antecedents of organizational health (e.g. managerial relationships, appreciative feedback) and highlights the relationship between the such and key hard business- (e.g. customer satisfaction, financial performance) and people outcomes (e.g., employee engagement, turnover intentions)
  • Use data from the initial exploration to development process to refine the model to ensure that it accurately reflects the unique dynamics of the organization’s unique business environment
  • Present the theoretical model to executive leadership and other stakeholders for validation and adjust as necessary based on their input.

The purpose is to develop a bespoke predictive process model to identify the drivers (i.e. antecedents) of your organization’s health and how this affects important business and people outcomes.

By understanding the drivers, it affords the opportunity to identify the specific areas that can be targeted to improve the Organizational Health.

Developing a Predictive Process Model

Analytics

Unlock Actionable Insights Through Advanced Analytics

Gain a deeper understanding of your organization with five powerful levels of insights designed to guide strategic decision-making and drive success.

Learn More

The Persona 360 Methodology

The 4 Layers of Insights

  1. Descriptive Insights: Provides a snapshot of the current state of your organization thus offering a clear view of  your strengths and areas for improvement.
  2. Diagnostic insights: We explore the underlying causes of the current state. This involves identifying the root causes of any issues, discrepancies, or risk factors
  3. Predictive Insights: Forecast future trends and challenges by analyzing current patterns, thus empowering long-term strategic planning.
  4. Prescriptive Insights: Provides clear, tailored, data-driven recommendations to improve organizational performance and alignment based on predictive insights.

Why Our Approach Outperforms Traditional Diagnostics

All Features
Traditional
Psynalytics
Scientifically Valid
Multi-Source Data Integration
Integrates multi-source data (self-reports, operational metrics, sentiment analysis, and AI-driven insights).
Real-Time Insights
Real-time data collection and analysis for proactive decision-making.
Tailored to Your Organization
Fully tailored diagnostics aligned with unique organizational challenges and goals.
Extensive Diagnostic Capabilities
Provides diagnostic (e.g. root cause analysis; Risk propensity) and predictive capabilities (e.g. turnover probability) and links human metrics to key hard performance metrics (e.g. revenue growth).
Predictive Capabilities
AI-powered predictive models to foresee risks, trends, and opportunities.
External Stakeholder Inclusion
Multi-level assessments including employees, customers, suppliers, and other stakeholders.
Hyper-Personalized Recommendations
Delivers hyper-personalized, actionable strategies tailored to specific teams, roles, and challenges.
Links to Key Business Metrics
Directly relates employee metrics with organizational outcomes like EBIT, retention, and growth.
Continuous Adaptability
Continuously adapts using AI and machine learning to align with emerging trends and challenges.
Real-Time Feedback
Continuously adapts using AI and machine learning to align with emerging trends and challenges.
Scalable for Large Organizations
Scalable solutions designed to handle complex, multi-unit, and global organizational structures.
Clear Return on Investment (ROI)
Demonstrates clear ROI by linking diagnostics and interventions to measurable business outcomes.
Align Workforce and Strategy
Improve Employee WellBeing
Improve Workplace Performance
Measure and Manage Costs of Workplace Risks
Enhance Diversity Management
Link Human Factors to Business Metrics
Optimize Workplace Models
Predict and Reduce Staff Turnover
Improve Organizational Decision Making
Support At-Risk Employees
Evaluate The Entire Business Ecosystem

Stop Making Million-Euro Decisions with Thousand-Dollar Data

Every day you continue with traditional diagnostics is another day of:

Missed Opportunities

Your competitors are already moving to predictive analytics. Don’t fall behind..

Hidden Sunken Costs

30% of your revenue could be lost to poor decision-making this year alone.

Risking Talent Turnover

Your best people might be heading for the door without you knowing.

Get Strategic Insights To Help Your Organization MAke Better Decisions

Discover how AI-powered diagnostics can predict and prevent issues before they impact your bottom line.