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<ref>See [[Theories_Behind_the_Framework|here about the theories behind the framework]], and [[Operationalization_of_Concepts|here about the operationalizations of the concepts.]]</ref>.
=Introduction=
=Introduction=
This article presents the general framework built at GRI to analyze the nature, use, and effect of assessment techniques on an organization's performance. Over the years, we have considered a variety of assessment techniques, including behavioral assessments and parallel techniques that we use ourselves privately, and observed the impact those techniques have on leadership, decision-making, communication, and, ultimately, on individuals and a company's performance.
The general framework presented in this article is used at GRI in its research to analyze the nature of assessment techniques and the impact of their use by various users on an organization's performance. The framework was also designed for use in research on leadership and organizational development, as well as in other projects addressing its components, such as social behaviors, social-skills learning, and semiotics.
 
The framework went through three phases over a 20-year period. It was initially designed to analyse executives' use of personality assessment in accordance with academic standards. This first phase demonstrated the unique nature of the assessment tools used in the project, with a factor-based approach. In a second phase, the framework was expanded to include new assessment techniques, users, and uses. It was finalized in a third phase, when GRI began in 2012, with new refinements and methods that could elevate performance assessment to a higher level of accuracy, and with new deployments among users at the executive level to benefit from them in leadership and organizational development, in addition to typical use in recruitment and coaching.
   
   
The general framework was built in three phases over a 20-year period. During that period, we devised the GRI assessment and the adaptive profiles by removing the limiting factors uncovered during the first and second phases of the research. This has allowed us to refine what performance means at the individual and organizational levels and to deploy adaptive profiles to operations for use by individuals in executive positions, in addition to their more classic uses in recruitment, search, coaching, and clinical cases. After a brief history of the framework and its construction in two phases, this article presents and comments on its design and reviews a couple of its aspects.
Working with the framework has enabled many findings, including:
* Clarifying the nature of social behavior, its adaptive, engagement, and performance elements. Social behavior is one facet of personality that is challenged by numerous techniques available. It’s usually presented in many different ways. This needed to be clarified.
* Evidencing the importance of symbolic features and language created by assessment techniques. Those elements can be a structural obstacle to the accuracy of assessment techniques and their use in strategic applications.
* Setting new criteria for analyzing and comparing assessment techniques. Standards were established in the early years of clinical psychology for use by clinicians and psychiatrists. Focusing on users clarified the conditions under which techniques deliver on their promise to improve performance at the strategic level.
* Refining the concepts of social and strategic performance based on social behavior and how they benefit other forms of performance already being studied.  
Devising the GRI assessment, adaptive profiles, and other tools used at GRI on jobs and teams, by removing limiting factors uncovered with competing techniques, and by continually testing the framework.
* Elaborating courses for learning and using the adaptive profiles, in the same way a language is learned.
Throughout its three phases, the framework's development continued to adhere to academic standards, with the intention that it be tested and used by parties other than GRI, or adapted to new, specific projects. GRI’s framework is thus fully disclosed on this wiki, including its creation, coding, hypothesis building, testing, and validation mechanisms with their variables and indicators.
The GRI framework is also used when GRI tools and techniques are deployed in organizations, as a reminder of the numerous variables at play and potential applications, provided that the methods are properly learned and applied. Again, knowledge of adaptive profiles is critical to understanding them and to using them as a new language in numerous applications.
 
After presenting the framework, the article discusses its development and offers a critique of the challenges ahead.


=Initial Framework=
=Framework Design=
The first framework was built from 2002 to 2006, with a thesis demonstrating the positive relationship between leaders' and managers' use of personality assessments and personal and organizational performance. The assessment techniques of the early 2000s were in constant progress. Software packages were providing increasing capabilities for analyzing information and computing statistics. The building of the framework followed social research academic standards, notably those of Miles and Huberman<ref>Miles M.B., Huberman A.M. (2003). Qualitative data analysis; De Boeck University.</ref>, Wacheux<ref>Wacheux, F. (1996). Méthodes Qualitatives de Recherche en Gestion. Economica.</ref>, and Eisenhardt<ref>Eisenhardt K. M. (1989). Building Theories from Case Study Research, Academy of Management Review, vol. 14, n° 4, pp. 532-550.</ref>.
The general framework is represented below. It includes nine independent variables on the use of assessment techniques (in blue), regrouped into two subsets: practical uses in organizational development, leadership, coaching, recruitment, and clinical settings, and abstract uses in self- and social-awareness, learning, language, and signs that span all practical uses.


A large exploration field consisted of 1,116 people from 501 companies, met from 1995 to 2006. The organizations were from varied industries, different countries, and of different sizes<ref>See [[Large_Exploration_Field|here the details of the large exploration field and small testing field.]]</ref>. It allowed the collection of information on the uses of assessment techniques, their users, and their effects. The framework was subsequently tested on two organizations, which are referred to as the case studies of the small testing field. The research process followed the diagram below. The arrows represent the interactions between the different fields.
The framework includes four antecedent variables (in yellow): the assessment technique, the user, the environment in which the method is used, and the publisher and consultant.
The dependent variables (in green) include three variables. Strategic performance is measured by the gap between the strategic intent for organizational performance and its realization. Social performance measures how people adapt and engage at the group level by interacting with others. Economic performance includes typical KPIs and KRIs that may, for instance, be of a production or financial nature. Strategic and Social performances are contingent upon how individual performance is measured with the adaptive profiles.


[[File:Use of Assessment Techniques.png|center|700px]]
 
The red arrows from dependent to antecedent variables indicate that learning from the framework continues to deepen understanding and refine the antecedent variables. Again, this framework applies not only to the GRI survey and the deployment of adaptive profiles but also to any other technique<ref>See more information [[Assessment Techniques | here in the wiki about various assessment techniques used in organizations.]]</ref>.
=Framework’s Development=
The first framework was built from 2002 to 2006, with a thesis demonstrating the positive relationship between leaders' and managers' use of personality assessments and organizational performance. Assessment techniques in the early 2000s were continually evolving. Software packages were providing increasingly powerful capabilities for data analysis and statistical computation. The development of the framework followed social research academic standards, notably those of Miles and Huberman<ref>Miles M.B., Huberman A.M. (2003). Qualitative data analysis; De Boeck University.</ref>, Wacheux<ref>Wacheux, F. (1996). Méthodes Qualitatives de Recherche en Gestion. Economica.</ref>, and Eisenhardt<ref>Eisenhardt K. M. (1989). Building Theories from Case Study Research, Academy of Management Review, vol. 14, n° 4, pp. 532-550.</ref>.
 
[[File:Large-Small Field.png|right|350px]]
[[File:Large-Small Field.png|right|350px]]
A large-scale exploration field comprised 1,116 participants from 501 companies whom Frederic Lucas-Conwell met between 1995 and 2006. The organizations were from varied industries, different countries, and of various sizes<ref>See [[Large_Exploration_Field|here the details of the large exploration field and small testing field.]]</ref>.. It allowed the collection of information on the uses of assessment techniques, their users, and their effects. The framework was subsequently tested in two organizations, which are referred to as case studies in the small testing field. The research process followed the attached diagram on the right. The arrows represent the interactions between the large and small fields.
The observations from the large field were from primary sources: direct observations of companies and their people, and secondary sources: testimony from publishing companies, consultants, journalists, and various documents collected. The interaction between the large and small fields happened once the first framework was built. Observations from the small field and between the two case studies stimulated new observations in the large field, and vice versa, as we moved back and forth between the large and small fields only after the testing phase began.


The observations from the large field were from primary sources: direct observations of companies and their people, and secondary sources: testimony from publishing companies, consultants, journalists, and documents. The interaction between the large and small fields happened once the framework was built. Observations from the small field and between the two case studies stimulated new observations on the large field, and vice versa, by going back and forth between the large and small fields, but only after the testing phase started.
The framework was successfully tested on case studies of the small testing field<ref>[[2006 Case Studies|See here nore information about the two case studies used to test the first framework.]]</ref>. The concepts, assessment techniques, and theories supporting the frameworks in psychology, sociology, social interactionism, organizational behavior, leadership, and semiotics (the analysis and philosophy of signs) have been documented<ref>See [[ Theories_Behind_the_Framework | here about the theories beind the framework]], and [[Operationalization_of_Concepts | here about the operationslizations of the concepts.]]</ref>.
The framework was successfully tested on case studies of the small testing field. The concepts, assessment techniques, and theories supporting the framework in psychology, sociology, social interactionism, organizational behavior, leadership, and semiotics (the analysis and philosophy of signs) had been documented<ref>See [[Theories_Behind_the_Framework|here about the theories behind the framework]], and [[Operationalization_of_Concepts|here about the operationalizations of the concepts.]]</ref>.


=General Framework=
The first framework laid the foundation for the second phase, which lasted from 2006 to 2012. Personality research has firmly confirmed the universality and nature of the factors employed. The Internet enabled unprecedented levels of data collection, usage, and analysis. Although observations were saturated after the first framework was created, the rise of coaching, advancements in well-being, and the use of typology assessments created new opportunities for observation. After 2005, major exploration areas became increasingly focused on the U.S., particularly the Bay Area.
The initial framework laid the foundation for the second phase, which lasted from 2006 to 2012. After establishing the first framework, the GRI (Growth Resources Institute) was launched in 2012, offering a new platform for quality assessment and marking the start of the third phase. Personality research firmly confirmed the universality and nature of the factors to be used. The Internet enabled unprecedented levels of data collection, usage, and analysis.


Although observations were saturated after the first framework was created, the rise of coaching, advancements in well-being, and the use of typology assessments created new opportunities for observation. After 2005, major exploration areas became more focused on the U.S. and the Bay Area.
The new framework from phase 2 included assessment techniques such as parallel techniques, rather than relying solely on personality assessments, as in the first phase. The inclusion of new techniques allowed broader analysis and comparison of assessment techniques. As identified in the first phase, assessment techniques both compete with and complement one another.
In 2012, the GRI (Growth Resources Institute) was launched, offering a new platform for quality assessment, marking the start of the third phase. The GRI survey was developed by removing important limitations identified in personality assessment techniques during phases 1 and 2. With the advent of AI and the increasing number of assessment techniques that can be quickly developed, we were prompted to publish more on the origins of the adaptive profiles and methods derived from using GRI’s framework.  
The publication has helped to demonstrate how assessment techniques differ, how their differences are reflected in their use, and what different impacts users with different roles could expect from them.


The new general framework included assessment techniques such as parallel techniques, rather than relying solely on personality assessments, as in the first phase. The inclusion of new techniques allowed broader analysis and comparison of assessment techniques. As identified in the first phase, assessment techniques both compete and complement each other. The GRI survey was developed by removing important limitations identified in personality assessment techniques during phases 1 and 2. With an increasing number of assessment techniques that can be built quickly with AI, it has become urgent to demonstrate how those techniques differ, how their differences are reflected in their use, and what different impacts users with different roles could expect from them. The general framework was built to answer those questions.
=Opening New Perspectives=
Perhaps the most significant barrier to the use of the GRI framework, including its tools, such as the GRI survey and adaptive profiles, is the belief that only specialists can use them.  This belief is rooted in the use of esoteric techniques such as astrology, tarot readings, and crystal balls since the beginning of time, and the practice of using a medium of some sort to provide counsel. In these situations, the quality of the technique is of little importance relative to the story built around it. It occurs similarly with tools based on types used in coaching, as well as with others based on traits for recruitment. Statistics are often part of the story that help exploit the medium effect, regardless of their quality.


=Framework Representation=
The challenge for the market is to recognize that, when adequately built, tools are necessary to address essential, costly human challenges in organizations, beyond subjective and intuitive limitations. Only when this new knowledge becomes part of a company’s culture can it deliver its full potential.
The general framework is represented below. It includes variables on the use of assessment techniques (the independent variable) and the individual, publishers, and the environment in which the techniques are used (the antecedent variable).
The framework dependent variable, the organization’s performance, is contingent upon individual performance. The adaptive profiles measure and represent performance at those two levels, and subsequently assess the gap between the strategic intent on group performance and its realization.
[[File:Use of Assessment Techniques.png|center|700px]]


Different from the first framework, the number of use categories is now nine rather than six. “Clinical” was added, reflecting the increasing use of assessments by clinicians in the workplace. “Coaching” became a new category by itself. With early techniques and techniques used during large events, the framework needed a category to regroup their use, which was named “Medium.
Knowledge of the framework and adaptive profiles is available on this wiki, but only through rigorous learning can the GRI framework language be learned through concrete examples and a step-by-step, incremental path. Often, users begin their journey by comparing the learning to what they have seen in other systems. Because of the nature and scope of the adaptive profiles, the deconstruction and reconstruction of meaning at play, it cannot be learned any other way. The process is counterintuitive, but that’s what makes it ultimately beneficial.
    
    
Although the first framework discussed the parallel techniques, it didn’t include them. The new framework allows comparisons of various techniques, including new advanced techniques based on statistics, and early ones. Social performance includes a “quiet diversity” index that didn’t exist before. “Environment" includes the company's general politics, which used to be a moderating variable in the first framework. It seemed more appropriate to consider it an antecedent variable.
The same learning is required for users as when conducting research with the GRI framework using adaptive profiles. Doing so requires the rapid development of new skills and the acquisition of a new language.
 


=Notes=
=Notes=

Revision as of 02:25, 4 January 2026


[1].


Introduction

The general framework presented in this article is used at GRI in its research to analyze the nature of assessment techniques and the impact of their use by various users on an organization's performance. The framework was also designed for use in research on leadership and organizational development, as well as in other projects addressing its components, such as social behaviors, social-skills learning, and semiotics.

The framework went through three phases over a 20-year period. It was initially designed to analyse executives' use of personality assessment in accordance with academic standards. This first phase demonstrated the unique nature of the assessment tools used in the project, with a factor-based approach. In a second phase, the framework was expanded to include new assessment techniques, users, and uses. It was finalized in a third phase, when GRI began in 2012, with new refinements and methods that could elevate performance assessment to a higher level of accuracy, and with new deployments among users at the executive level to benefit from them in leadership and organizational development, in addition to typical use in recruitment and coaching.

Working with the framework has enabled many findings, including:

  • Clarifying the nature of social behavior, its adaptive, engagement, and performance elements. Social behavior is one facet of personality that is challenged by numerous techniques available. It’s usually presented in many different ways. This needed to be clarified.
  • Evidencing the importance of symbolic features and language created by assessment techniques. Those elements can be a structural obstacle to the accuracy of assessment techniques and their use in strategic applications.
  • Setting new criteria for analyzing and comparing assessment techniques. Standards were established in the early years of clinical psychology for use by clinicians and psychiatrists. Focusing on users clarified the conditions under which techniques deliver on their promise to improve performance at the strategic level.
  • Refining the concepts of social and strategic performance based on social behavior and how they benefit other forms of performance already being studied.

Devising the GRI assessment, adaptive profiles, and other tools used at GRI on jobs and teams, by removing limiting factors uncovered with competing techniques, and by continually testing the framework.

  • Elaborating courses for learning and using the adaptive profiles, in the same way a language is learned.

Throughout its three phases, the framework's development continued to adhere to academic standards, with the intention that it be tested and used by parties other than GRI, or adapted to new, specific projects. GRI’s framework is thus fully disclosed on this wiki, including its creation, coding, hypothesis building, testing, and validation mechanisms with their variables and indicators.

The GRI framework is also used when GRI tools and techniques are deployed in organizations, as a reminder of the numerous variables at play and potential applications, provided that the methods are properly learned and applied. Again, knowledge of adaptive profiles is critical to understanding them and to using them as a new language in numerous applications.

After presenting the framework, the article discusses its development and offers a critique of the challenges ahead.

Framework Design

The general framework is represented below. It includes nine independent variables on the use of assessment techniques (in blue), regrouped into two subsets: practical uses in organizational development, leadership, coaching, recruitment, and clinical settings, and abstract uses in self- and social-awareness, learning, language, and signs that span all practical uses.

The framework includes four antecedent variables (in yellow): the assessment technique, the user, the environment in which the method is used, and the publisher and consultant.

The dependent variables (in green) include three variables. Strategic performance is measured by the gap between the strategic intent for organizational performance and its realization. Social performance measures how people adapt and engage at the group level by interacting with others. Economic performance includes typical KPIs and KRIs that may, for instance, be of a production or financial nature. Strategic and Social performances are contingent upon how individual performance is measured with the adaptive profiles.

Use of Assessment Techniques.png

The red arrows from dependent to antecedent variables indicate that learning from the framework continues to deepen understanding and refine the antecedent variables. Again, this framework applies not only to the GRI survey and the deployment of adaptive profiles but also to any other technique[2].

Framework’s Development

The first framework was built from 2002 to 2006, with a thesis demonstrating the positive relationship between leaders' and managers' use of personality assessments and organizational performance. Assessment techniques in the early 2000s were continually evolving. Software packages were providing increasingly powerful capabilities for data analysis and statistical computation. The development of the framework followed social research academic standards, notably those of Miles and Huberman[3], Wacheux[4], and Eisenhardt[5].

Large-Small Field.png

A large-scale exploration field comprised 1,116 participants from 501 companies whom Frederic Lucas-Conwell met between 1995 and 2006. The organizations were from varied industries, different countries, and of various sizes[6].. It allowed the collection of information on the uses of assessment techniques, their users, and their effects. The framework was subsequently tested in two organizations, which are referred to as case studies in the small testing field. The research process followed the attached diagram on the right. The arrows represent the interactions between the large and small fields.

The observations from the large field were from primary sources: direct observations of companies and their people, and secondary sources: testimony from publishing companies, consultants, journalists, and various documents collected. The interaction between the large and small fields happened once the first framework was built. Observations from the small field and between the two case studies stimulated new observations in the large field, and vice versa, as we moved back and forth between the large and small fields only after the testing phase began.

The framework was successfully tested on case studies of the small testing field[7]. The concepts, assessment techniques, and theories supporting the frameworks in psychology, sociology, social interactionism, organizational behavior, leadership, and semiotics (the analysis and philosophy of signs) have been documented[8].

The first framework laid the foundation for the second phase, which lasted from 2006 to 2012. Personality research has firmly confirmed the universality and nature of the factors employed. The Internet enabled unprecedented levels of data collection, usage, and analysis. Although observations were saturated after the first framework was created, the rise of coaching, advancements in well-being, and the use of typology assessments created new opportunities for observation. After 2005, major exploration areas became increasingly focused on the U.S., particularly the Bay Area.

The new framework from phase 2 included assessment techniques such as parallel techniques, rather than relying solely on personality assessments, as in the first phase. The inclusion of new techniques allowed broader analysis and comparison of assessment techniques. As identified in the first phase, assessment techniques both compete with and complement one another.

In 2012, the GRI (Growth Resources Institute) was launched, offering a new platform for quality assessment, marking the start of the third phase. The GRI survey was developed by removing important limitations identified in personality assessment techniques during phases 1 and 2. With the advent of AI and the increasing number of assessment techniques that can be quickly developed, we were prompted to publish more on the origins of the adaptive profiles and methods derived from using GRI’s framework. The publication has helped to demonstrate how assessment techniques differ, how their differences are reflected in their use, and what different impacts users with different roles could expect from them.

Opening New Perspectives

Perhaps the most significant barrier to the use of the GRI framework, including its tools, such as the GRI survey and adaptive profiles, is the belief that only specialists can use them. This belief is rooted in the use of esoteric techniques such as astrology, tarot readings, and crystal balls since the beginning of time, and the practice of using a medium of some sort to provide counsel. In these situations, the quality of the technique is of little importance relative to the story built around it. It occurs similarly with tools based on types used in coaching, as well as with others based on traits for recruitment. Statistics are often part of the story that help exploit the medium effect, regardless of their quality.

The challenge for the market is to recognize that, when adequately built, tools are necessary to address essential, costly human challenges in organizations, beyond subjective and intuitive limitations. Only when this new knowledge becomes part of a company’s culture can it deliver its full potential.

Knowledge of the framework and adaptive profiles is available on this wiki, but only through rigorous learning can the GRI framework language be learned through concrete examples and a step-by-step, incremental path. Often, users begin their journey by comparing the learning to what they have seen in other systems. Because of the nature and scope of the adaptive profiles, the deconstruction and reconstruction of meaning at play, it cannot be learned any other way. The process is counterintuitive, but that’s what makes it ultimately beneficial.

The same learning is required for users as when conducting research with the GRI framework using adaptive profiles. Doing so requires the rapid development of new skills and the acquisition of a new language.


Notes

  1. See here about the theories behind the framework, and here about the operationalizations of the concepts.
  2. See more information here in the wiki about various assessment techniques used in organizations.
  3. Miles M.B., Huberman A.M. (2003). Qualitative data analysis; De Boeck University.
  4. Wacheux, F. (1996). Méthodes Qualitatives de Recherche en Gestion. Economica.
  5. Eisenhardt K. M. (1989). Building Theories from Case Study Research, Academy of Management Review, vol. 14, n° 4, pp. 532-550.
  6. See here the details of the large exploration field and small testing field.
  7. See here nore information about the two case studies used to test the first framework.
  8. See here about the theories beind the framework, and here about the operationslizations of the concepts.