In today’s fast-paced digital environment, Artificial Intelligence (AI) is paving the way for a novel management approach focused on concrete results: Deliverables-Driven Management. This framework aims to boost team productivity by prioritizing the creation of deliverables – the tangible outputs of our efforts.
To understand this approach, let’s begin by defining “productivity” as the generation of these deliverables. If we refer to deliverables as the primary outcome of an employee, we can include employees that don’t produce anything, per se, but perform a function, like a secretary. For knowledge workers who primarily operate in the digital realm, this process involves two key components:
- Applications or Domains: The specific software, tools, or knowledge areas utilized to create and refine the deliverables.
- Rate of Change: The pace at which the files, data, or information being worked on are modified and improved.
In order to effectively manage teams within this deliverables-driven framework, we need a way to track and measure both of these factors – the applications in focus, and the rate of file or data change.
The AI Advantage
This is where AI’s capabilities come to the fore. AI-powered tools can:
- Monitor Application Usage: By analyzing digital footprints, AI can identify the software and platforms team members are actively using, providing valuable insights into the work processes and tools contributing most to deliverable creation.
- Auto Classification: AI can automatically classify the apps and domains which are in use, marking those responsible for the creation of deliverables as ‘Producers’. Inspira’s patent-pending system goes a step further to classify all apps and domains as Producers, Contributors, Maintainers or Distractors. This classification allows for a unique dissection of the data, for true attribution towards productivity (deliverables).
- Track user inputs: AI can capture real-time user inputs into these apps and domains. User inputs are the agents of change.
- The combination of user inputs and domain classification provides the data for a new way of scoring and calculating productivity. We call this new metric the “pScore”.
Implementing Deliverables-Driven Management
With these AI-powered insights, managers can implement a more effective, results-oriented approach to managing their teams:
- Set Clear Deliverable Goals: Define clear, measurable objectives for each team member and project, focusing on the specific deliverables to be produced.
- Monitor Progress with AI: Utilize AI tools to track application usage and the rate of change in files and data, gaining real-time visibility into progress and potential bottlenecks.
- Provide Targeted Support: Identify areas where team members might be struggling based on their application usage and rate of change. Offer targeted support, training, or resources to enhance their productivity.
- Foster a Results-Oriented Culture: Emphasize the importance of tangible outcomes and celebrate the successful completion of deliverables. Encourage a culture of accountability and continuous improvement.
The Future of Work
Deliverables-driven management, powered by AI, represents a significant shift in the way we approach productivity and teamwork. By focusing on tangible results and leveraging AI’s analytical capabilities, organizations can optimize their processes, enhance collaboration, and achieve new levels of success in the digital age.
Note: The specific AI tools and technologies used to implement deliverables-driven management will vary depending on the organization and its needs. It is important to carefully select and implement tools that align with the company’s goals and work processes.