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

Abstract

The invention is a method, an analysis system, and a recommendation system that help optimize the impact of an action plan on the cognitive abilities of a target audience, within the framework of project management aimed at facilitating engagement, learning, or changes in the target audience's perceptions or behaviors. The method involves using a database derived from scientific research to qualify, quantify, and optimize the action plan's impact on cognitive abilities. The data analysis system qualifies the impact of each action by selecting cognitive impact indicators and quantifies the impact of each action by calculating cognitive impact indices. The recommendation system uses the indicators and cognitive impact indices to help guide the action plan and make decisions during the planning and monitoring phases, up to project completion.

Description

Title of the invention: Method and system for optimizing the cognitive impact of an action plan in project management technical field

[0001] The invention is a method and a system that help optimize the impact of an action plan on the cognitive abilities of a target audience within the framework 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 managing the action plan to optimize its cognitive impact on the target audience. Technical problem

[0002] Developing an action plan is essential for an organization to operationalize its strategies and achieve its objectives. The action plan is the intermediate phase between identifying strategic objectives and implementing the actions to achieve those objectives. The action plan serves to manage projects by planning and monitoring their implementation until project completion. Traditionally, the action plan is designed to optimize resources, particularly budgetary costs, human resources, and the project schedule.

[0003] In various embodiments, the organization's strategic objective involves engaging the target audience and changing their behaviors, knowledge, or perceptions. This implies 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 optimize its impact on the target audience. For example, in communication, an effective communication plan involves optimizing its impact on the target audience's attention and emotions in order to convey information that is memorable. In education and training, an effective training or educational support plan involves optimizing its impact on the learners' learning capacities in order 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 valuation of professions in order to facilitate the recruitment of candidates and the retention of employees.

[0004] 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 proposes optimizing the environmental impact of an action plan. In the field of training, WO2021092165 offers a method and a system for identifying the necessary skills in order to optimize the acquisition of these skills in training plans and achieve educational objectives. In the field of human resources, WO2019046514 offers a method and a system for optimizing the alignment between project actions and the skills of individuals to carry out the projects.These solutions model individuals' 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 their perceptions or behavior.

[0005] 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 consists of 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 necessary and the cognitive processes involved in engagement, learning, and changes in perception or behavior. These advances are applied to various industrial sectors, with a view to helping 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 individuals' cognitive abilities and personalize experiences in digital environments by analyzing the behavioral data produced by these individuals.

[0006] The fields of training and education benefit from solutions for personalizing online training plans based on each individual's behavior and performance. US20180096619 and WO2019102280 propose analyzing each individual's responses to a skills assessment questionnaire and / or analyzing each individual's performance in activities in order to personalize training plans. WO2019102280 also offers 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 states emotional state of each individual in real time in order to adapt the content of training activities and provide recommendations to trainers.

[0007] The fields of communication and marketing also benefit from digital inventions to 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 in order to optimize user interfaces and the services offered.

[0008] To summarize the state of the art, existing solutions from behavioral and cognitive sciences involve analyzing behavioral data produced by individuals online in order to personalize action plans in digital environments. However, none of these solutions is relevant for anticipating and measuring the impact of an action plan at the project management level, from planning to project closure. Existing solutions are not relevant for managing action plans in hybrid environments, with physical, digital, individual, or 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 the article published in 2021 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 and targeting groups of individuals underrepresented in the data corpus. Furthermore, the analysis of personal data requires the consent of individuals in order to limit misuse for profiling and targeting. Technical solution

[0009] The invention proposes a method and system for managing an action plan that optimizes the impact on the cognitive abilities of the target audience. The invention is intended for the Project management aims to facilitate engagement, learning, or changes in perception or behavior within a target audience. The process involves assessing the cognitive impact of each action and proposing recommendations to guide an action plan based on these results. An analysis system leverages a scientific database to qualitatively and quantitatively evaluate the expected cognitive impact of each action using indicators and indices of cognitive impact. A recommendation system then uses these indicators and indices to guide the action plan, optimizing cognitive impact throughout the planning and monitoring phases, from initial planning to project completion.

[0010] The cognitive impact of an action plan represents the set of cognitive abilities that can be optimally stimulated by the characteristics of each action with a target audience. The cognitive impact is systematically evaluated for each action across several categories of cognitive abilities and for several segments of the target audience.

[0011] The cognitive impact is assessed from a database from cognitive science research in order to identify indicators of cognitive impact, and then to calculate cognitive impact indices. a. Cognitive impact is assessed by selecting cognitive impact indicators. Each cognitive impact indicator represents a cognitive process implemented to process the characteristics of the 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 cognitive impact indicators are selected from an evaluation grid created using the scientific database, structured according to the categories of cognitive abilities and the segments of the target audience. b. Cognitive impact is quantified by calculating cognitive impact indices. Each index is a value that represents 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 the categories of cognitive abilities and the segments of the target audience.

[0012] The recommendations are developed to optimize the cognitive impact of an action plan based on indicators and indices of cognitive impact: a. 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 on all cognitive abilities. b. Indicators and cognitive impact indices are used to monitor the action plan in order to design actions, develop actions, and implement them. implement the action plan and evaluate the implementation of the action plan until the project is closed. Brief description of the drawings

[0013] The drawing boards 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 more apparent to those skilled in the art, upon reading the description given below.

[0014] [Fig-1] 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.

[0015] [Fig. 2] represents the scientific database analysis system for evaluating cognitive impact using an orthogonal design based on cognitive ability categories and target audience segments. The analysis system includes an assessment grid for qualifying cognitive impact by selecting cognitive impact indicators at each level of the orthogonal design, and a dashboard for quantifying cognitive impact by calculating standardized scores and composite cognitive impact indices based on the orthogonal design.

[0016] [Fig. 3] 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. Detailed description

[0017] The invention consists of evaluating the cognitive impact of any type of action intended for a target audience, regardless of the modality, medium, and relationships between the actions. The actions may be digital, physical, or hybrid. They may target individuals or communities. They may be addressed directly to the target audience or indirectly through intermediaries, influencers, or trainers. They may be independent of each other or interdependent and interwoven within the framework of an advertising campaign, training program, or transition project.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as that commonly understood by individuals in the ordinary trade to which this invention belongs.

[0019] UPDATING THE SCIENTIFIC DATABASE: According to various embodiments, the first step of the process consists of updating the scientific database relevant to the project objectives, such as facilitating The update focuses on engagement, learning, and behavioral change among the target audience. It is based on ongoing monitoring of 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 ability. In some implementations, the update involves identifying the target audience segments relevant to the project's objectives and the cognitive processes optimally implemented by each segment.

[0020] QUALIFYING COGNITIVE IMPACT: The second step of the process consists of 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 likely to be optimally stimulated by the characteristics of an action with a target audience or a segment of the target audience. a. According to the method in [Fig. 1], quantifying cognitive impact involves selecting relevant cognitive impact indicators for each action. Selecting these indicators means choosing those that characterize the features of each action in 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. b. According to the data analysis system in [Fig. 2], the assessment of cognitive impact relies on an evaluation grid with cognitive impact indicators. This evaluation grid is created from the scientific database and includes all cognitive impact indicators relevant to the project's objectives. i. According to various modes of implementation, the evaluation grid structures the cognitive impact indicators into several levels according to the categories of cognitive abilities relevant to the objectives of the project. ii. In some implementations, the assessment grid is structured with an orthogonal design that combines categories of cognitive abilities and segments of the target audience. In other words, the assessment grid comprises 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.

[0021] QUANTIFICATION OF COGNITIVE IMPACT: The third step of the process in [Fig. 1] consists of 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. a. According to the procedure of [Fig.1], the cognitive impact index of each action is calculated from the cognitive impact indicators selected with the evaluation grid. b. According to the data analysis system in [Fig.2], cognitive impact indices are calculated in a dashboard with standardized scores and composite scores: i. Standardized scores are calculated for each level of the orthogonal design. Standardizing the cognitive impact indices involves adding the cognitive impact indicators specifically selected for a given level of the assessment grid, 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. ii. Composite scores comprise three types of indices: 1. The overall cognitive impact index corresponds to the aggregation of all standardized scores: this score quantifies the overall cognitive impact of an action; 2. Categorized cognitive impact indices are aggregate scores for a category of cognitive abilities: these scores quantify the cognitive impact of an action on a specific category of cognitive abilities; 3. Segmented cognitive impact indices are aggregate scores for a segment of the target audience: these scores quantify the cognitive impact of an action for each specific segment of the target audience.

[0022] OPTIMIZING THE COGNITIVE IMPACT OF THE ACTION PLAN: The fourth and final step in the process of [Fig. 1] consists of providing operational recommendations to help guide an action plan that optimizes its cognitive impact on the target audience. The recommendations are based on the cognitive impact indicators and indices calculated for each action. These recommendations can be presented clearly and simply using standard project management tools. The recommendation system helps in making decisions for planning and monitoring the action plan through to project closure. a. In various implementations, steering the action plan involves planning the actions. According to the process in [Fig. 2], cognitive impact indices are used to help make decisions throughout the action plan planning process in order to optimize cognitive impact. According to the recommendation system in [Fig. 3], 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. i. In various embodiments, planning an action plan involves prioritizing actions. The recommendation system selects priority actions with the highest overall cognitive appropriation index, sorting actions according to each action's overall score, in descending order. 1. In some implementations, the prioritization of actions takes into account other quantitative prioritization criteria, such as budgetary or human resource data. The recommendation system calculates new composite scores by aggregating the cognitive impact indices and other prioritization criteria to prioritize the actions with the highest composite score. 2. In some embodiments, the prioritization of actions can be performed specifically for each segment of the target audience. The recommendation system selects priority actions for a specific segment by sorting the actions according to their aggregate scores for that segment of the target audience, in descending order. ii. In various embodiments, planning an action plan involves targeting segments of the target audience. 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 are identified. The recommendation system sorts the segmented scores of each action in descending order to identify the segments with the strongest cognitive impact and optimize the cognitive impact of the action plan by targeting these segments. 1. In some embodiments, the targeting of actions 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, aggregating the cognitive impact indices and the other targeting criteria to target segments of the target audience with the highest composite score. iii. In various embodiments, planning an action plan involves balancing the set of actions with various modalities. According to the recommendation system in [Fig. 3], the recommendations use cognitive impact indices to help select a set of actions that stimulate all cognitive abilities in a balanced way. The standardized scores of the actions are sorted specifically within each category of cognitive abilities, with a view to selecting the actions with the strongest impact in each category. 1. In some embodiments, the balancing of the action plan on cognitive abilities can be carried out specifically for each segment of the target audience. The aggregate scores are sorted for each category of cognitive abilities and each segment of the target audience, with a view to selecting the action with the strongest impact in each category of cognitive abilities for a specific segment. b. In various implementations, action plan management involves monitoring the implementation of the action plan until project closure. According to the process in [Fig. 2], indicators and cognitive impact indices are used to support decision-making throughout the action plan monitoring process in order to optimize cognitive impact. According to the recommendation system in [Fig. 3], cognitive impact indicators are used to help design actions and support stakeholders. in the implementation of the action plan. According to the recommendation system in [Fig.3], cognitive impact indices are used to prioritize the development of the characteristics of each action and to periodically evaluate the implementation until the project is closed. i. In various embodiments, monitoring an action plan involves designing the actions. According to the recommendation system in [Fig. 3], cognitive impact indicators help to verify that the design of each action meets expectations in order to optimize its cognitive impact. The recommendation system retrieves the selected indicators for each action from the analysis system in [Fig. 2]. These indicators are used to verify that the characteristics of each action meet expectations. The retrieved indicators can be structured in a conventional monitoring tool, such as a checklist. In some embodiments, the design of the actions can be carried out specifically for a segment of the target audience. The checklist is then reduced to the indicators specifically associated with that segment of the target audience. ii. In various implementations, 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 retrieved 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 reduced to indicators specifically associated with a segment of the target audience. iii. 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 The system prioritizes the development of each action's characteristics to achieve its expected cognitive impact. It retrieves all standardized scores calculated for each action from the analysis system [Fig. 2]. These standardized scores are then sorted to prioritize the development of each action's characteristics. The system then retrieves the subset of cognitive impact indicators corresponding to the highest standardized scores to prioritize their development. iv. In various implementations, monitoring an action plan involves periodically or annually assessing its implementation 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. At each project evaluation, the recommendation system operates iteratively: a new cognitive impact index is calculated by counting the number of indicators used for the priority development of actions. This new index is compared to the cognitive impact index calculated in the previous iteration to periodically assess progress until project completion. Examples

[0023] 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 the school setting, 10 educational videos on the company's Youtube page, an eco-delegate competition, a class-wide challenge via an application, a program. educational classroom activity with a popular character, a one-minute Instagram video posted on the account of a popular influencer.

[0024] The present invention helps the communications department to make decisions to guide a communications plan that optimizes the impact of actions on the cognitive abilities of young audiences, with a view to facilitating the adoption of new, sustainable behaviors. The present invention makes it possible to transform this list of actions into a communications plan that optimizes the impact of each action on the cognitive abilities of various segments of the young audience.

[0025] UPDATING THE SCIENTIFIC DATABASE: According to the procedure in [Fig. 1], the first step consists of updating the scientific database. The update is carried out using scientific monitoring of research in cognitive development, social sciences, and educational sciences. Scientific monitoring makes it possible to identify the cognitive abilities and segmentation of young people relevant to facilitating learning and the adoption of new behaviors among young people. a. Four categories of cognitive abilities are relevant: i. Attentional capacities: This type of cognitive capacity 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 performing an activity. According to cognitive science, these cognitive processes are associated with attentional capacities and executive functions. ii. Memory capacities: This type of cognitive capacity involves 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 responses, habits, conditioned responses, or primed responses. According to cognitive science, these cognitive processes are associated with distinct systems of declarative and non-declarative memory. iii. Emotional capacities: This type of cognitive capacity involves cognitive processes implicated in the identification and regulation of emotions, as well as in the identification and regulation of relational and social behaviors. According to educational sciences, these cognitive processes are associated with social and emotional learning. iv. Cognitive control abilities: This type of cognitive ability involves cognitive processes involved in regulating motivation and solving problems, particularly in planning activities and achieving goals. According to cognitive science, these cognitive processes are associated with decision-making and cognitive control abilities. b. The segmentation of the young audience 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.

[0026] QUALIFICATION OF COGNITIVE IMPACT: According to the procedure in [Fig. 1], the second step consists of quantifying the cognitive impact of each communication action. The qualification is carried out in two sub-steps: creating the evaluation grid and selecting the cognitive impact indicators for each communication action. a. According to the analysis system in [Fig. 2], the assessment grid includes all relevant cognitive impact indicators to facilitate the learning of new behaviors. An indicator corresponds to a cognitive process 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. i. The assessment grid comprises 4 levels of cognitive abilities, with indicators distributed within each level: 1. The level of attentional capacities: each indicator of cognitive impact represents a characteristic of an action that stimulates a process of attentional capacities; 2. The level of memory capacity: each indicator of cognitive impact represents a characteristic of an action that stimulates a memory capacity process; 3. The level of emotional capabilities: each indicator of cognitive impact represents a characteristic of an action that stimulates a process of emotion regulation and social relationship capabilities; 4. The level of cognitive control capabilities: each indicator of cognitive impact represents a characteristic of an action that stimulates a process of cognitive control capabilities. ii. The assessment grid includes 4 levels of target audience segmentation, combined with the 4 levels of cognitive abilities, with indicators distributed in 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. b. According to the analysis system of [Fig.2], the evaluation grid is used to qualify the cognitive impact of each action by selecting the indicators that represent the characteristics of each action, exhaustively for all levels of the evaluation grid.

[0027] QUANTIFICATION OF COGNITIVE IMPACT: According to the method in [Fig. 1], the third step of the method consists of quantifying the cognitive impact of each action by calculating the cognitive impact indices. According to the method, the cognitive impact indices of each action are calculated in two sub-steps: a. According to the analysis system in [Fig. 2], standardized scores are calculated specifically for each level of the assessment grid. That is, 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. b. According to the analysis system in [Fig.2], the standardized scores are aggregated to obtain three types of composite score for each action: i. the overall cognitive impact index: this composite score assesses the cognitive impact on all categories of cognitive abilities and the entire young audience; ii. Categorized indices for the four categories of cognitive abilities: 1. The attention index assesses the expected impact of an action on the attentional capacities of young audiences; 2. The memory index: this index assesses the expected impact of an action on the memory capacities of young people; 3. 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; 4. 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. iii. The third type of composite cognitive impact indices are the segmented indices for the four segments of the young audience according to the age ranges of normative cognitive development.

[0028] OPTIMIZING THE COGNITIVE IMPACT OF THE ACTION PLAN: The fourth and final step of the process consists of providing operational recommendations to help guide the communication plan in order to optimize the impact of communication actions on the cognitive abilities of young audiences. The recommendation system operates in two main stages: planning and monitoring the action plan until the project's completion. a. According to the recommendation system in [Fig. 3], cognitive impact indices are used to help plan the action plan to optimize cognitive impact: i. The recommendation system helps prioritize actions with the strongest cognitive impact for each of the four segments of the young audience. Cognitive impact indices are sorted specifically for each segment in order 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. ii. The recommendation system helps target segments of young audiences. Cognitive impact indices are specifically sorted for each communication action in order to identify the segment of young audiences with the strongest expected cognitive impact. iii. The recommendation system helps to balance the action plan. Cognitive impact indices are specifically sorted for each category of cognitive abilities in order to identify the set of communication actions with the strongest expected impact on all cognitive abilities. b. According to the recommendation system of [Fig.3], indicators and indices of cognitive impact are used to help track the implementation of the action plan until the project's closure in order to optimize cognitive impact. i. The recommendation system specifically retrieves the cognitive impact indicators selected from the analysis system for each action prioritized in the recommendation system, with a view to helping design the characteristics of actions that optimize cognitive impact. ii. The recommendation system specifically retrieves the cognitive impact indicators, selected in the analysis system for each prioritized action and each targeted segment in the recommendation system, in order to support stakeholders in the implementation of the action plan, such as families, schools, cultural and sports associations, and digital platform actors. iii. The recommendation system retrieves the 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. iv. 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. List of documents cited

[0029] Miller, HR (1993). Resource allocation method (WO9512847).

[0030] Rosenbum, E., Byers, L F., Harris, RW (2001). Process for planning, communicating and evaluating projects with environmental impacts (WO02082219).

[0031] Celano, M., Grieco, W., Gobie, M., Hu, Y., Bowers, C., Bassett, E. (2019). Objective-based skills training systems and processes (WO2021092165).

[0032] Hancock, J., Germano, J., Micciche, D., Murphy, M., Dolan, D. (2017). System and method for providing optimized matching between projects and individuals with relevant skills (WO2019046514).

[0033] Fuka, KA (2017). Time-use based recommendation system enabling the improvement of a user's skill set and associated method (WO2019102280).

[0034] Marggraff, LJ, Publicover, NG (2018). Method and apparatus for helping self-development using artificial intelligence learning (KR20200068057A).

[0035] Parvez, V., Parvez, V. (2020). Method and system for providing efficient generation and distribution of interactive online digital content (WO2022038394).

[0036] Kumar, K., Mahale, V., Pagote, A., Prabhu, J., Bhowmik, S. (2021). Providing personalized recommendations based on user behavior on an e-commerce platform (WO2023286087).

[0037] Goldman, OL, Jacobs, TWR, Edmonds, KA, Smith, KG, Javangula, PS, Still, AM (2017). Digital media environment for analysis of audience segments (US2023013199).

[0038] KAIROUZ, Peter, MCMAHAN, H. Brendan, AVENT, Brendan, et al. Advances and open problems in federated learning. Foundations and trends® in machine learning, 2021, vol. 14, no. 1-2, p. 1-210.

Claims

Demands

1. A method and system for optimizing the impact of an action plan on the cognitive capacities of a target audience, intended for project management whose objective is to facilitate engagement, learning, change in perception or behavior of the target audience, characterized in that the method includes a qualitative and quantitative evaluation of the cognitive impact of each action in order to help steer the action plan and make decisions during the planning and monitoring of implementation up to the closure of the project.

2. A method according to claim 1, characterized in that: a. The cognitive impact of the action plan represents the set of cognitive capacities of the target audience that can be stimulated by all the actions; b. Cognitive impact is assessed from a database derived from cognitive science research to select indicators of cognitive impact, then calculate cognitive impact indices, and then optimize cognitive impact in order to stimulate the cognitive abilities of a target audience.

3. Data analysis system, according to claims 1 and 2, characterized in that: a. Cognitive impact is qualified by selecting the indicators of cognitive impact that represent cognitive processes that can be stimulated by the characteristics of an action; b. Cognitive impact indicators are selected from an assessment grid, created from the scientific database and structured according to an orthogonal plan which combines several levels of cognitive abilities and segments of the target audience; c. cognitive impact is quantified by calculating cognitive impact indices whose value represents the expected impact of each action on the cognitive abilities of the target audience; d. Cognitive impact indices are standardized, composite scores calculated from cognitive impact indicators, according to an orthogonal design that combines multiple levels of cognitive abilities and segments of the target audience.

4. Recommendation system, according to claims 1 and 2, characterized in that: a. Cognitive impact indices help to plan the action plan and, more specifically, to prioritize actions, target segments of the target audience, and balance the action plan, with a view to optimizing the cognitive impact of the action plan; b. Cognitive impact indicators and indices help to monitor the implementation of the action plan and, more specifically, to design actions, prioritize the development of action characteristics, support stakeholders in the implementation of the action plan and evaluate the implementation of the action plan, with a view to optimizing the cognitive impact of the action plan until the project's closure.

Images