Introduction to
Neural Methodology For Project Management By: Prashant Founder & CEO
Kukde

DeepAffects EI Analytics for Human Resources and Project Management
Allié Merrick Designer
Alex Blăjan Cover Image
1 Definition 2 Science 3 Value 4 Application 5 Artifacts 6 Tools
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Definition of Neural Methodology
“Neural Methodology offers a lightweight framework that includes cognitive, emotional and neural development with iterative training and learning.�
Neural Methodology for Project Management adopts a primary focus on people’s emotions, skills & maturity central to team collaboration and communication in order to increase the success of project or product delivery in an iterative fashion.
As opposed to traditional approaches, Neural Methodology offers a lightweight framework that includes cognitive, emotional and neural development with iterative training and learning. This approach helps organizations deliver projects and products with more efficiency while developing higher performing teams in the process.
Projects progress via a series of iterations (similar to sprints in agile project management). With every iteration tracked, EI (Emotional Intelligence) metrics are identified and quantified producing measurable analytics that when compared to previous stages offer EQ (Emotional Quotient) trends noting the evolution of progress. This Neural Methodology unifies Human Resources (HR) in the form of employee relations with Project Management (PM) in the shape of task, quality & risk management.
Science of Neural Methodology
“Similar to neural networks, people in teams or organizations are responsible for learning and executing tasks based on a common strategy.�
Neural Methodology takes its inspiration from how our brain’s neural network operates, as it pertains to learning and executing a complex task. In an organization, the individuals are the ‘neurons’. The department hierarchy in the organization or team represents the ‘layers in the neural network’. See the conversion below:
The neurons at the initial base layer of the neural network learn particular characteristics of the input. As multiple layers are added, the dense neural network learns additional features and passes the learned knowledge on. Depending on the position of the neurons in the deep layers, the network learns ‘complex logic’ (higher order features) and forwards the learned information to the next layer. Based on the task at hand, the neurons in the last layer of the network provide an informed response. Every time the neural network learns, it optimizes its weights at each layer to reduce errors and increase knowledge.
Similar to neural networks, people in teams and organizations are responsible for learning and executing tasks based on a common strategy. The individuals in the organization are connected and collaborate with others in the execution of multiple tasks. Both knowledge and emotions are communicated in this process. Every individual attempts to maximize their learning based on their Intelligence Quotient (IQ) and Emotional Quotient (EQ), generating a response that is transferred to the other individuals. Within various roles in the organization, responses are course corrected with the intention to minimize the delta between the desired vs real outcomes. These actions of course correction continuously optimize both
individual and team productivity and minimize misalignments in IQ and EQ. After many iterations, the company culture achieves a normalized EQ - a standard of sentiment. This is very similar to model convergence and key to understanding the baseline EI of the organization.
Value of Neural Methodology
“Neural Management puts focus on the success of an individual, not only the completion of a task.�
Neural management puts focus on the success of an individual, not only the completion of a task. By working in iteration, the intention of this methodology is to drive effective team communication and efficient task completion with optimized collaboration.
This contrasts sharply to the more traditional project management approach that is fixated exclusively on tasks without consideration of the emotional state of the individual or the team during the execution of the task. As a result, project delays and budget overages are common, due to a lack of understanding of the team’s behavior.
Application of Neural Methodology for Project Management
“With the application of Neural Methodology, real time EQ metrics are generated and aggregated. These insights are used to produce actionable recommendations and measurable reports.�
Neural Methodology can work in concert with standard project & product management tools. The needed information on individuals and tasks is captured from the existing tools that are already in place in the organization. Data on the communicated emotions of individuals and teams is gathered from collaboration software, processed to identify the relevant emotional states and tracked across project phases. With the application of Neural Methodology, real time EQ metrics are generated and aggregated. These insights are used to produce actionable recommendations and measurable reports. This allows for corrective action to be taken and continuous improvement to be made.
Artifacts of Neural Methodology for Project Management
“The employment of Neural Methodology in project management requires very few artifacts. Instead of concentrating only on the completion of tasks, it focuses on creating and nurturing the environment of innovation and active collaboration.�
The employment of Neural Methodology in project management requires very few artifacts. Instead of concentrating only on the completion of tasks, it focuses on creating and nurturing the environment of innovation and active collaboration.
Team Emotion Log: This is a complete list of the emotional issues/responses anticipated in the team based on the individual team member's profile, which will likely impact task outcomes. This list prioritization is set by the product/project owner identifying the most difficult emotions relevant to success.
Team Emotion Iteration Log: This is a prioritized list of emotions the team needs to address and resolve over the course of single iteration.
Impact Charts: These are used to show the tasks positively or negatively impacted due to emotions in an iteration and provide an effective way to determine at a glance whether the emotions are balanced so the tasks can be completed on schedule.
Tools for Neural Methodology
Get to know DeepAffects.
If you are interested in learning more about integrating Neural Methodology in your project management or HR tools, please visit Deep Affects online (www.deepaffects.com). Here you will learn about available DeepAffects Analytics & APIs and gain access to additional information on the Emotional Intelligence (EI) for Project Management.
DeepAffects EI Analytics for Human Resources and Project Management www.deepaffects.com