Method and system for optimising the cognitive impact of an action plan in project management

Abstract

The invention relates to a technical development for project management for improving the efficiency of an action plan in terms of expected impact on the cognitive abilities of a target audience. The technical development includes a method and system for automating the optimisation of the expected impact. The method consists in evaluating the expected impact, qualitatively and quantitatively, on the basis of a scientific database which is updated according to the specific features of the project, in order to optimise the expected impact when planning and following the action plan. The system automates the analysis of the data in order to evaluate impact indicators and indices and automates the optimisation recommendations from the evaluated indicators and indices. An example of better usage shows how to optimise the expected impact of a communication plan on the cognitive abilities of multiple groups of a target audience. Figures 1, 2 and 3 represent the method, the analysis system and the recommendation system, respectively.

Description

Method and system for optimizing the cognitive impact of an action plan in project management

[0001] The description sets out the invention in six parts: “Technical field”, “Technical problem”, “Technical solution”, “Brief description of the drawings”, “Description of embodiments” and “Example”.

[0002] The invention is a method and system that help optimize the impact of an action plan on the cognitive abilities of a target audience within the context of project management. The invention leverages data from cognitive science research applied to project engineering. The invention consists of evaluating the cognitive impact of an action plan, using qualitative and quantitative measures, and then guiding the action plan to optimize its cognitive impact on the target audience. Technical problem

[0003] Developing an action plan is essential for an organization to operationalize its strategies and achieve its objectives. The action plan is the intermediate step between identifying strategic objectives and implementing the actions to achieve them. It serves to guide projects, planning and monitoring their implementation until project completion. Traditionally, action plans are designed to optimize resources, particularly in terms of budget, human resources, and project timelines.

[0004] In various implementations, the organization's strategic objective involves engaging the target audience and influencing their behavior, knowledge, or perceptions. This requires understanding how the target audience functions in order to design an action plan that facilitates engagement, learning, and changes in perception or behavior. The action plan must then also be designed to maximize its impact on the target audience. For example, in communication, an effective communication plan aims to maximize its impact on the target audience's attention and emotions to deliver information that is memorable. In education and training, an effective training or educational support plan aims to maximize its impact on the learners' capacity to facilitate the development of knowledge and skills.In interim management, an effective change management plan involves optimizing the impact on the engagement of an organization's members during the transition and the adoption of new behaviors in order to manage organizational or behavioral change. In human resources, an effective action plan notably involves optimizing the impact on the value of different roles in order to facilitate candidate recruitment and employee retention.

[0005] The invention is a solution for optimizing the impact of an action plan on the target audience in order to achieve strategic objectives. It falls within the category of solutions that optimize project management, such as WO9512847A1, which helps optimize project resources in terms of duration and cost, or WO02082219, which aims to optimize the environmental impact of an action plan. In the field of training, WO2021092165 offers a process and a system for identifying the necessary skills in order to optimize their acquisition within training plans and achieve educational objectives. In the field of human resources, WO2019046514 offers a process and a system for optimizing the alignment between project actions and the skills of individuals to carry out the projects. These solutions model individual skills to integrate a human and social dimension into action plans.However, these solutions do not model the cognitive abilities that individuals use to engage, learn, change perceptions or behavior.

[0006] The invention is based on research in cognitive science. Cognitive science is a scientific discipline whose objective is to describe the mechanisms underlying behavior and thought. More specifically, research focuses on describing the cognitive abilities necessary to perform activities and the cognitive processes specifically used to perceive and act within the environment. Advances in cognitive science make it possible to identify the set of cognitive abilities required and the cognitive processes involved in engagement, learning, and changes in perception or behavior. These advances are applied to various industrial sectors to help individuals maintain or develop cognitive abilities by stimulating the processes involved in specific environments.In the age of digital technologies, several solutions are proposed to test the cognitive abilities of individuals and personalize experiences in digital environments, by analyzing the behavioral data produced by these individuals.

[0007] The training and education sectors benefit from solutions for personalizing online training plans based on each individual's behavior and performance. US20180096619 and WO2019102280 offer solutions for analyzing each individual's responses to a skills assessment questionnaire and / or analyzing their performance in various activities to personalize training plans. WO2019102280 also provides a recommendation system for selecting educational activities from a list of products and services in a database. WO2022093839 and KR20200068057A offer various electronic devices for analyzing each individual's emotional state in real time to adapt the content of training activities and provide recommendations to trainers.

[0008] The fields of communication and marketing also benefit from digital innovations that analyze the characteristics and behaviors of individuals online, with a view to prioritizing actions or adapting the content of those actions. WO2022038394 proposes analyzing demographic data (age, gender, occupation) and psychographic data of individuals (personality, values, needs, attitudes, beliefs, interests, lifestyle, etc.) collected in advertising campaigns to personalize the content and format of messages and to optimize the performance and distribution of interactive digital content. WO2023286087 proposes analyzing user behavior on an e-commerce platform to personalize recommendations made to users.US20230013199 proposes to analyze the interactions of several audience segments with various elements of digital marketing content to optimize user interfaces and services offered.

[0009] To summarize the current state of the art, existing solutions from behavioral and cognitive sciences involve analyzing behavioral data produced by individuals online to personalize action plans in digital environments. However, none of these solutions is suitable for anticipating and measuring the impact of an action plan at the project management level, from planning to project closure. Existing solutions are also inadequate for managing action plans in hybrid environments, with physical, digital, individual, and collective modes of action.It should also be noted that the analysis of behavioral data produced by individuals on digital platforms faces technical and ethical constraints that limit its use, as explained by the data science research collective in their 2021 article published in the journal "Foundations and Trends in Machine Learning." In particular, analyzing data produced by individuals carries the risk of reproducing biases present in the data corpus. Recommendations generated by this type of system may reinforce pre-existing behaviors of the target audience, but they are not optimal for facilitating behavioral change or targeting groups of individuals underrepresented in the data corpus. Furthermore, the analysis of personal data requires the consent of individuals to limit misuse for profiling and targeting. Technical solution

[0010] The invention proposes a method and system for managing an action plan that optimizes its impact on the cognitive abilities of the target audience. The invention is intended for managing projects whose objective is to facilitate engagement, learning, or changes in perception or behavior of a target audience. The method consists of evaluating the cognitive impact of each action and proposing recommendations to guide an action plan based on these results. An analysis system uses a scientific database to qualitatively and quantitatively assess the expected cognitive impact of each action using indicators and indices of cognitive impact. A recommendation system uses these indicators and indices of cognitive impact to guide the action plan, optimizing its cognitive impact during the planning and monitoring phases, up to the project's completion.

[0011] The cognitive impact of an action plan represents the sum of cognitive abilities that can be optimally stimulated by the characteristics of each action within a target audience. The cognitive impact is systematically assessed for each action across several categories of cognitive abilities and for multiple segments of the target audience.

[0012] Cognitive impact is assessed using a database of cognitive science research to identify indicators of cognitive impact and then calculate cognitive impact indices. Cognitive impact is qualified by selecting these indicators. Each indicator represents a cognitive process used to process the characteristics of an action or to perform an action. Each indicator can be assigned to a category of cognitive abilities and to one or more segments of the target audience. The indicators of cognitive impact are selected from an evaluation grid created using the scientific database, structured according to categories of cognitive abilities and segments of the target audience. Cognitive impact is quantified by calculating the cognitive impact indices.Each index is a value representing the expected impact of an action on each category of cognitive abilities and for each segment of the target audience. Cognitive impact indices are standardized, composite scores calculated from cognitive impact indicators, based on cognitive ability categories and target audience segments.

[0013] The recommendations are developed to optimize the cognitive impact of an action plan based on indicators and cognitive impact indices. Cognitive impact indices are used to plan the action plan in order to prioritize actions, target segments of the target audience, and balance the impact across all cognitive abilities. Indicators and cognitive impact indices are used to monitor the action plan in order to design actions, develop actions, implement the action plan, and evaluate its implementation until project completion.

[0014] The drawings illustrate the main steps of the process, the data analysis system, and the recommendation system. The invention will be better understood, and other features and advantages will become clearer to those skilled in the art, upon reading the description given below. Fig.1

[0015] represents the main steps of the process to optimize the cognitive impact of an action plan from a scientific database, with the qualitative and quantitative evaluation of the cognitive impact, and with recommendations to optimize the cognitive impact during the planning and monitoring of the action plan. Fig. 2

[0016] This represents the scientific database analysis system for assessing cognitive impact using an orthogonal design based on cognitive ability categories and target audience segments. The analysis system includes an assessment grid to qualify cognitive impact by selecting cognitive impact indicators at each level of the orthogonal design, and a dashboard to quantify cognitive impact by calculating standardized scores and composite cognitive impact indices based on the orthogonal design. Fig.3

[0017] This represents the recommendation system for optimizing the cognitive impact of an action plan on the target audience. The recommendations concern the planning of the action plan based on cognitive impact indices, and the monitoring of the action plan based on indicators and cognitive impact indices.

[0018] The invention consists of evaluating the cognitive impact of any type of action aimed at a target audience, regardless of the modality, medium, and relationships between actions. Actions can be digital, physical, or hybrid. They can target individuals or communities. They can be addressed directly to the target audience or indirectly through intermediaries, influencers, or trainers. They can be independent of each other or interdependent and interconnected within an advertising campaign, training program, or transition project.

[0019] Unless otherwise defined, all technical and scientific terms used here have the same meaning as that commonly understood by individuals in the ordinary profession to which this invention belongs.

[0020] UPDATING THE SCIENTIFIC DATABASE: In various embodiments, the first step of the process consists of updating the scientific database relevant to the project's objectives, such as facilitating engagement, learning, or behavioral change among the target audience. This update is based on monitoring research in cognitive science, social sciences, and educational sciences. The update identifies the categories of cognitive abilities relevant to the project's objectives and the cognitive processes optimally implemented within each cognitive ability. In some embodiments, the update involves identifying the target audience segments relevant to the project's objectives and the cognitive processes optimally implemented by each segment.

[0021] QUALIFYING COGNITIVE IMPACT: The second step in the process involves qualifying the cognitive impact based on cognitive impact indicators. A cognitive impact indicator is defined as a qualitative measure that corresponds to a type of cognitive process that can be optimally stimulated by the characteristics of an action with a target audience or a segment of the target audience. According to this process, quantifying cognitive impact involves selecting the relevant cognitive impact indicators for each action. Selecting these indicators means choosing those that characterize the features of each action within the evaluation grid. For each action, all indicators in the evaluation grid are considered exhaustively, but only those that correspond to the action's characteristics are selected.According to the data analysis system, the assessment of cognitive impact relies on an evaluation grid with cognitive impact indicators. This grid is created from the scientific database and includes all cognitive impact indicators relevant to the project's objectives. Depending on the implementation, the evaluation grid structures the cognitive impact indicators into several levels based on categories of cognitive abilities relevant to the project's objectives. In some implementations, the evaluation grid uses an orthogonal design that combines categories of cognitive abilities with segments of the target audience.So, the assessment grid includes several levels that combine the two variables in the most balanced way possible: each category of cognitive abilities, combined with each segment of the target audience, includes an equivalent or as close as possible number of indicators.

[0022] QUANTIFICATION OF COGNITIVE IMPACT: The third step in the process involves quantifying the cognitive impact of each action by calculating cognitive impact indices. A cognitive impact index is defined as a composite score that quantifies the expected impact of an action on the cognitive abilities of a target audience. According to the process, the cognitive impact index of each action is calculated from the cognitive impact indicators selected using the evaluation grid. According to the data analysis system, the cognitive impact indices are calculated in a dashboard with standardized scores and composite scores: The standardized scores are calculated for each level of the orthogonal design.The standardization of cognitive impact indices involves adding together the cognitive impact indicators specifically selected for a given level of the assessment grid, and then dividing the sum by the total number of indicators in that level. The standardized scores range from 0 to 1. The closer the value is to 1, the greater the impact of the intervention on the cognitive abilities of the target audience. This standardization process neutralizes the confounding effects of the total number of indicators, which are not strictly identical across all levels of the assessment grid. Consequently, standardizing the scores at each level allows for the aggregation and comparison of scores between two independent variables: the categories of cognitive abilities and the segments of the target audience.The total number of standardized scores for an action corresponds to the number of levels in the evaluation grid, which is the product of the number of indicator categories and the number of target audience segments. Composite scores include three types of indices: the overall cognitive impact index corresponds to the aggregation of all standardized scores: this score quantifies the overall cognitive impact of an action; the categorized cognitive impact indices are the aggregated scores for a category of cognitive abilities: these scores quantify the cognitive impact of an action on a specific category of cognitive abilities; the segmented cognitive impact indices are the aggregated scores for a target audience segment: these scores quantify the cognitive impact of an action for each specific target audience segment.

[0023] OPTIMIZING THE COGNITIVE IMPACT OF THE ACTION PLAN: The fourth and final step of the process consists of providing actionable recommendations to help guide an action plan that maximizes its cognitive impact on the target audience. These recommendations are based on the cognitive impact indicators and indices calculated for each action. They can be presented clearly and simply using standard project management tools. The recommendation system helps inform decisions for planning and monitoring the action plan through to project closure. In various implementations, managing the action plan involves planning the actions. According to the process, cognitive impact indices are used to support decision-making throughout the action plan planning phase to optimize cognitive impact.According to the recommendation system, cognitive impact indices are used to help prioritize actions, target one or more segments of the target audience, and balance the impact of all actions. In various implementations, planning an action plan involves prioritizing actions. The recommendation system selects priority actions with the highest overall cognitive appropriation index, sorting actions based on each action's overall score in descending order. In some implementations, action prioritization takes into account other quantitative prioritization criteria, such as budgetary or human resource data. The recommendation system calculates new composite scores, aggregating the cognitive impact indices and other prioritization criteria to prioritize actions with the highest composite score.In some embodiments, action prioritization can be performed specifically for each target audience segment. The recommendation system selects priority actions for a specific segment by sorting actions according to their aggregate scores for that target audience segment, in descending order. In various embodiments, planning an action plan involves targeting target audience segments. According to the recommendation system in [Fig. 3], cognitive impact indices are structured in a dashboard to help target the target audience segment(s) with the highest cognitive impact index. The recommendation system sorts the segmented scores of each action in descending order to identify the segments with the highest cognitive impact and optimize the cognitive impact of the action plan by targeting those segments.In some embodiments, action targeting takes into account targeting criteria other than cognitive impact, such as the number of individuals or relays reached. The recommendation system calculates new composite scores by aggregating cognitive impact indices and other targeting criteria to target segments of the target audience with the highest composite score. In various embodiments, planning an action plan involves balancing the set of actions with various modalities. According to the recommendation system in [Fig. 3], recommendations use cognitive impact indices to help select a set of actions that stimulate all cognitive abilities in a balanced way. The standardized action scores are sorted specifically within each cognitive ability category to select the actions with the highest impact in each category.In some embodiments, the balancing of the action plan on cognitive abilities can be carried out specifically for each segment of the target audience. Aggregate scores are sorted for each cognitive ability category and each target audience segment, with a view to selecting the action with the greatest impact in each cognitive ability category for a specific segment. In various embodiments, the management of the action plan consists of monitoring its implementation until project closure. According to the process described in [the relevant implementation], cognitive impact indicators and indices are used to help make decisions throughout the action plan monitoring process in order to optimize cognitive impact. According to the recommendation system described in [the relevant implementation], cognitive impact indicators are used to help design actions and support stakeholders in the implementation of the action plan.According to the recommendation system, cognitive impact indicators are used to prioritize the development of each action's features and to periodically evaluate implementation until project closure. In various implementation modes, monitoring an action plan involves designing the actions. According to the recommendation system [Fig. 3], cognitive impact indicators help ensure that the design of each action meets expectations to optimize its cognitive impact. The recommendation system retrieves the selected indicators for each action from the analysis system [Fig. 2]. These indicators are used to verify that each action's features meet expectations. The retrieved indicators can be structured in a standard project management tool, such as a checklist.In some embodiments, the design of actions can be tailored specifically to a segment of the target audience. The checklist is then reduced to the indicators specifically associated with that segment. In various embodiments, monitoring an action plan involves facilitating stakeholder support in the implementation of each action. According to the recommendation system in [Fig. 3], cognitive impact indicators help support stakeholders by ensuring that expectations for optimizing cognitive impact are shared by all stakeholders. The recommendation system retrieves the selected indicators for each action from the analysis system in [Fig. 2]. These indicators are used to verify that all stakeholders have the same expectations regarding the cognitive impact of each action.The collected indicators can be structured in a standard management tool, such as a best practices guide. In some implementations, stakeholder support may be specific to a segment of the target audience. The best practices guide is then limited to the indicators specifically associated with that segment. In various implementations, monitoring an action plan involves prioritizing the development of actions based on the priority characteristics of each action. According to the recommendation system in [Fig. 3], cognitive impact indices help prioritize the development of each action's characteristics to achieve its expected cognitive impact. The recommendation system retrieves all the standardized scores calculated for each action in the analysis system in [Fig. 2].The standardized scores are then sorted to prioritize the development of each action's characteristics. The recommendation system then retrieves the subset of cognitive impact indicators corresponding to the highest standardized scores for priority development. In various implementations, monitoring an action plan involves evaluating its implementation periodically or annually until project completion. According to the recommendation system in [Fig. 3], cognitive impact indices help assess the implementation of the action plan to achieve its expected cognitive impact. With each project evaluation, the recommendation system iterates: a new cognitive impact index is calculated by counting the number of indicators used for the priority development of actions.The new index is compared to the cognitive impact index calculated in the previous iteration in order to periodically assess progress until the project's completion.

[0024] To illustrate the application of the present invention, the example concerns a purpose-driven company that has just defined a new strategic objective: to help young consumers adopt new sustainable behaviors. To achieve this objective, the company's communications department is tasked with developing an action plan to help young people adopt new sustainable behaviors. The target audience includes young people aged 3 to 18, regardless of their location or family's socioeconomic status. The communications department has listed several dozen possible actions, with various digital and physical approaches, addressed directly to young people or through intermediaries such as families, schools, cultural and sports associations, and digital platform providers.As an example, the action list includes: a 30-minute animation in a school setting, 10 educational videos on the company's Youtube page, an eco-delegate competition, a class-wide challenge via an application, an educational program in the classroom with a popular character, a one-minute Instagram video broadcast on the account of a popular influencer.

[0025] The present invention helps communications management make decisions to guide a communications plan that optimizes the impact of actions on the cognitive abilities of young audiences, with the aim of facilitating the adoption of new and lasting behaviors. The present invention allows this list of actions to be transformed into a communications plan that optimizes the impact of each action on the cognitive abilities of various segments of the young audience.

[0026] UPDATING THE SCIENTIFIC DATABASE: According to the process described above, the first step is to update the scientific database. This update is based on scientific monitoring of research in cognitive development, social sciences, and educational sciences. Scientific monitoring helps identify the cognitive abilities and segmentation of young people relevant to facilitating learning and the adoption of new behaviors among this population. Four categories of cognitive abilities are relevant: Attentional abilities: This type of cognitive ability involves cognitive processes involved in sustained attention, selective and inhibitory attention, as well as, more generally, all processes involved in the processing and selective manipulation of information relevant to carrying out an activity.According to cognitive science, these cognitive processes are associated with attentional capacities and executive functions. Memory capacities: this type of cognitive capacity implements cognitive processes involved in the long-term storage and retrieval of information. Information stored in long-term memory can be semantic, episodic, or autobiographical. It can also be associated with automatic behaviors, habits, conditioned responses, or primed responses. According to cognitive science, these cognitive processes are associated with distinct declarative and non-declarative memory systems. Emotional capacities: this type of cognitive capacity implements cognitive processes involved in the identification and regulation of emotions, as well as in the identification and regulation of relational and social behaviors.According to educational science, these cognitive processes are associated with social and emotional learning. Cognitive control skills: this type of cognitive ability involves cognitive processes involved in regulating motivation and problem-solving, particularly in planning activities and achieving goals. According to cognitive science, these cognitive processes are associated with decision-making and cognitive control skills. The segmentation of young learners corresponds to four age groups of normative cognitive development between 3 and 18 years: 3-5 years, 6-10 years, 11-14 years, and 15-18 years.

[0027] ASSESSING COGNITIVE IMPACT: According to the methodology, the second step consists of quantifying the cognitive impact of each communication action. This assessment is carried out in two sub-steps: creating the evaluation grid and selecting the cognitive impact indicators for each communication action. According to the analysis system, the evaluation grid includes all relevant cognitive impact indicators to facilitate the learning of new behaviors. An indicator corresponds to a cognitive process that is optimally stimulated for a segment of the young audience.The assessment grid is structured according to an orthogonal plan that distributes all relevant indicators, in the most balanced way possible, across different levels that combine two variables: the categories of cognitive abilities relevant for learning to adopt new behaviors and the segments of the young audience according to their age range of cognitive development. Thus, the assessment grid comprises a total of 16 levels of cognitive indicators, corresponding to 4 categories of cognitive abilities, combined with 4 age ranges.The assessment grid includes 4 levels of cognitive abilities, with indicators distributed within each level: The level of attentional abilities: each cognitive impact indicator represents a characteristic of an action that stimulates a process of attentional abilities; The level of memory abilities: each cognitive impact indicator represents a characteristic of an action that stimulates a process of memory abilities; The level of emotional abilities: each cognitive impact indicator represents a characteristic of an action that stimulates a process of emotion regulation and social relations abilities; The level of cognitive control abilities: each cognitive impact indicator represents a characteristic of an action that stimulates a process of cognitive control abilities.The assessment grid comprises four levels of target audience segmentation, combined with four levels of cognitive abilities, with indicators distributed across each segmentation level: the 3-5 year, 6-10 year, 11-14 year, and 15-18 year levels include indicators that correspond to a cognitive process that has reached maturity in a specific age group, according to a normative cognitive development model. According to the analysis system, the assessment grid is used to qualify the cognitive impact of each action by selecting indicators that comprehensively represent the characteristics of each action for all levels of the assessment grid.

[0028] QUANTIFICATION OF COGNITIVE IMPACT: According to the process, the third step consists of quantifying the cognitive impact of each action by calculating cognitive impact indices. According to the process, the cognitive impact indices for each action are calculated in two sub-steps: According to the analysis system, standardized scores are calculated specifically for each level of the assessment grid. Thus, for each action, the analysis system calculates 16 standardized scores for 4 categories of cognitive abilities, combined with the 4 segments of the young audience.According to the analysis system, the standardized scores are aggregated to obtain three types of composite score for each action: the overall cognitive impact index: this composite score assesses the cognitive impact on all categories of cognitive abilities and the entire young audience; the categorized indices for the four categories of cognitive abilities: The attention index assesses the expected impact of an action on the attentional abilities of the young audience; The memory index: this index assesses the expected impact of an action on the memory abilities of the young audience; The emotion index: this index assesses the expected impact of an action on the young audience's ability to identify and regulate emotions and relational and social behaviors; The cognitive control index: this index assesses the expected impact of an action on the young audience's ability to regulate motivation, solve problems and achieve goals.The third type of composite cognitive impact indices are the segmented indices for the four segments of the young audience based on the age ranges of normative cognitive development.

[0029] OPTIMIZING THE COGNITIVE IMPACT OF THE ACTION PLAN: The fourth and final step in the process involves providing operational recommendations to help guide the communication plan and optimize the impact of communication activities on the cognitive abilities of young audiences. The recommendation system operates in two main stages: planning and monitoring the action plan until project completion. According to the recommendation system, cognitive impact indices are used to help plan the action plan to optimize cognitive impact. The recommendation system helps prioritize actions with the strongest cognitive impact for each of the four segments of the young audience. The cognitive impact indices are specifically sorted for each segment to identify the actions with the strongest expected cognitive impact for the 3-5 year old, 6-10 year old, 11-14 year old, and 15-18 year old segments.The recommendation system helps target specific segments of young audiences. Cognitive impact indices are sorted specifically for each communication action to identify the segment of young audiences with the highest expected cognitive impact. The recommendation system helps balance the action plan. Cognitive impact indices are sorted specifically for each category of cognitive abilities to identify the set of communication actions with the highest expected impact across all cognitive abilities. According to the recommendation system, indicators and cognitive impact indices are used to help track the implementation of the action plan until project completion in order to optimize cognitive impact.The recommendation system specifically retrieves cognitive impact indicators, selected from the analysis system for each prioritized action within the recommendation system, to help design action characteristics that optimize cognitive impact. The recommendation system specifically retrieves cognitive impact indicators, selected from the analysis system for each prioritized action and each targeted segment within the recommendation system, to support stakeholders in implementing the action plan, such as families, schools, cultural and sports associations, and digital platform actors.The recommendation system retrieves cognitive impact indices, calculated in the analysis system for each prioritized action and each targeted segment in the recommendation system, to assign a priority order in the development of the characteristics of each action. The recommendation system works iteratively at each stage of the project, calculating new cognitive impact indices based on the indicators that were taken into account in the development and implementation of each action, and comparing these new indices to those of the previous stage of the project to assess the project's progress until closure.

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Claims

A method for optimizing the effectiveness of an action plan in terms of expected impact on the cognitive abilities of a target audience, with a view to applying technical and scientific requirements systematically and rigorously, improving performance and reducing the costs of the action plan, characterized in that it includes the following steps: the definition of a strategic objective in terms of expected impact on the cognitive abilities of a target audience and the list of actions to be considered to achieve this objective with an action plan, with a view to integrating technical and scientific expertise on the behaviors and cognitive abilities of the target audience from the beginning of the project;the collection and updating of scientific data from the results of studies in cognitive and behavioral sciences, with a view to integrating technical and scientific requirements in a systematic and rigorous manner, without collecting new behavioral data requiring confidentiality considerations; the qualitative analysis of scientific data to create and select indicators that characterize the effectiveness of an action in terms of expected impact on different cognitive capacities, with a view to applying technical and scientific requirements and evaluating the effectiveness of actions in a systematic and rigorous manner; the quantitative analysis to calculate indices of the effectiveness of an action in terms of expected impact on different cognitive capacities, with a view to quantifying, aggregating and comparing the effectiveness of each action in a systematic and rigorous manner;the generation of recommendations to optimize the expected impact of the action plan on cognitive abilities during the planning and monitoring of the action plan, with a view to achieving careful planning, limiting late and costly technical redesigns from the early stages of the project, and improving and adapting actions at each stage of the project. System for automating the implementation of the method according to claim 1, characterized in that it comprises: a scientific data update module, configured to automate the collection of results of scientific studies and to store these results in a database, with a view to systematizing the integration of technical and scientific requirements; a qualitative impact analysis module for the expected impact of actions on cognitive abilities, configured to automate the creation and selection of indicators from scientific data, with a view to systematizing the application of technical and scientific requirements and the evaluation of the effectiveness of each action; a quantitative impact analysis module for the expected impact of actions on cognitive abilities, configured to automate the calculation of indices from the selected indicators, with a view to systematizing the quantification, aggregation and comparison of the effectiveness of each action;a planning recommendation module for an action plan, configured to assist decision-making based on calculated indices and to automate the application of technical and scientific requirements from the earliest stages of the project; a monitoring recommendation module for the action plan, configured to assist decision-making based on selected indicators and calculated indices and to automate the application of technical and scientific requirements at each stage of the project. A method according to claim 1, characterized in that the step of defining a strategic objective of an action plan further includes defining the expected impact of a communication, change management, training or educational support plan, with a view to further facilitating the change in perception or behavior, engagement or learning of a target audience, by having an effect on their cognitive abilities. A method according to claim 1, characterized in that the step of qualitative analysis of scientific data includes transforming the results of scientific studies into indicators that describe the effects of the characteristics or functionalities of an action on cognitive capacities, with a view to applying the technical and scientific requirements systematically and rigorously in all stages of the project. Analysis system according to claim 2, characterized in that the indicator selection module further comprises an evaluation grid structured according to a multi-variable cognitive capacity model with several levels, in order to systematize the evaluation of the effectiveness of actions in terms of expected impact on different cognitive capacities. Analysis system according to claim 2, characterized in that the index calculation module further comprises a dashboard to present standardized scores and composite indices for each variable included in a cognitive abilities model, in order to systematize the comparison of the effectiveness of each action in terms of expected impact on different cognitive abilities. Recommendation system according to claim 2, characterized in that the action plan planning recommendation module further comprises a user interface configured to assist in decision-making on prioritizing actions, targeting target audience segments and balancing the expected impact of the action plan, with a view to systematizing careful planning from the early stages of the project and limiting late and costly technical redesigns of the action plan. Recommendation system according to claim 2, characterized in that the action plan monitoring recommendation module further comprises a user interface configured to assist in decision-making on the design, development and evaluation of the implementation of actions, as well as the support of project stakeholders, with a view to systematizing the improvement and adaptation of actions at each stage of the project to achieve the expected impact on cognitive abilities.

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