Artificial Intelligence Training: An Asset for Managers

Optimize decision-making with Artificial Intelligence

In the world of management, many Managers feel overwhelmed by the amount of data available, not always knowing how to exploit it. Artificial Intelligence (AI), through predictive analysis tools, helps to automate this complex process. In practice, a Manager can use AI to monitor team performance in real time, identify missing skills, and adjust workloads to improve efficiency. For example, tools like Copilot can help analyze trends or optimize the allocation of human resources, reducing the risk of errors and boosting overall productivity. These systems can also be used toanticipate the company's future needs in terms of skills or project management, based on historical data and prospective scenarios.

However, it is crucial to formulate the instructions correctly so that the AI produces relevant results. This involves theart of prompting, an essential skill for guiding AI correctly. Inéa Conseil offers a one-day training course enabling you to master this technique, essential for guaranteeing the accuracy of analyses and recommendations generated by AI.

Make your day-to-day managerial tasks easier with AI

The introduction of AI into management should not replace human skills, but rather complement them. AI frees Managers from administrative and repetitive tasks, enabling them to focus on talent development, innovation and human relations management.

For example, using ChatGPT to plan complex projects can make it considerably easier to track deadlines and deliverables. Managers can interact with AI to identify sticking points and receive recommendations on priority management.

Here's an example of a multi-iteration dialog between a Manager and ChatGPT, illustrating how to refine a prompt to obtain more precise and useful results.

First iteration: Initial Prompt

Manager:
"I manage a project with a team of 5 people. The members are: Alice (marketing specialist), Paul (developer), Sarah (designer), Tom (communications manager), and Claire (product manager). The project is to launch a new digital campaign in two months' time. Can you give me an action plan for the first two weeks, with tasks for each team member?"

ChatGPT's answer:
*"Here's a suggested plan of action for the first two weeks:

• Alice: Marketing trend research and competitor campaign analysis (lead time: 7 days).
• Paul: Development of the technical structure for the campaign (deadline: 10 days).
• Sarah: Design of the first visuals (lead time: 10 days).
• Tom: First drafts for communications (deadline: 7 days).
• Claire: Coordination of progress meetings and validation of deliverables (lead time: 10 days). "*.

Second iteration: Refining the action plan

Manager:
"Thanks, that's a good start, but I'd like to include more specific subtasks for each member to better distribute the workload and have intermediate checkpoints. Can you go into more detail about the subtasks for Alice and Paul?"

ChatGPT's reply:
*"Sure, here are the detailed subtasks for Alice and Paul:

• Alice:
  1. Analysis of current trends on social networks (lead time: 3 days).
  2. Identification of competitors' best-performing campaigns (2 days).
  3. Summary of results and proposed recommendations for the campaign (deadline: 2 days).
• Paul:
  1. Preparation of the infrastructure for A/B testing on the platform (lead time: 3 days).
  2. Development of content personalization functionalities (4 days).
  3. Set up a test environment for the team (lead time: 3 days). "*.

Third iteration: Request for weekly follow-up

Manager:
"That sounds good, but I'd also like a weekly monitoring system to make sure each step is progressing as planned. Can you suggest a monitoring plan with weekly checkpoints?"

ChatGPT's answer:
*"Here's a weekly monitoring plan with checkpoints:

• Week 1:
  1. Checking the progress of Alice's searches (target: 50% of analyses completed).
  2. Follow-up with Paul for A/B test configuration (target: platform 50% ready).
  3. Validation with Sarah of the first visual sketches.
• Week 2:
  1. Team meeting for an interim review of Alice's research results.
  2. Testing the functionalities developed by Paul in the test environment.
  3. First review of Tom's content and adjustments based on feedback "*.

Fourth iteration: Adjusting priorities

Manager:
"Now I'd like to prioritize some tasks based on the impact on the project launch. Can you rank the tasks according to their importance for meeting deadlines?"

ChatGPT's reply:
*"Here's a prioritization of tasks:

1. Paul: Preparing the infrastructure for A/B testing (key to validating content).
2. Alice: Analysis of marketing trends (important for defining strategy).
3. Sarah: Design of the first visuals (crucial for validating the visual identity).
4. Tom: First communication drafts.
5. Claire: Coordination and validation (after the first team deliveries) "*.

Fifth iteration: Final clarification

Manager:
"Thank you for these clarifications. Can you add some KPIs to track for each priority task?"

ChatGPT's answer:
*"Here are the KPIs associated with priority tasks:

• Paul: A/B test completion rate (target: 90% of test scenarios ready by the end of the second week).
• Alice: Number of trends and competitors analyzed (target: at least 5 trends and 3 major competitors identified).
• Sarah: Number of visual concepts validated by the team (target: 3 concepts ready for review).
• Tom: Draft communications ready (target: 2 versions ready for feedback). "*.

This dialogue illustrates how a Manager can progressively refine his needs by interacting with ChatGPT, moving from a general request to a precise action plan, accompanied by sub-tasks, checkpoints and performance indicators to better monitor project progress.

On the other hand, it is essential tomaintain a critical view of the results generated by AI. As Joëlle Derville, coordinator of an AI training course, explains, you should never accept the results of a prompt without human verification. To avoid appearing too "robotic", reformulate the results provided by the AI and ensure their reliability before using them.

Other Examples of Prompts for AI and Management

• Human resources optimization:
  "Analyzes my team's current skills and suggests training to fill gaps in relation to the company's future needs."
• Team performance assessment:
  "Provide me with a detailed report on the team's performance over the last three months, highlighting weak points and areas for improvement."
• Creation of a strategic action plan:
  "Proposes an action plan to improve the efficiency of the sales department, taking into account market trends and current performance."

These examples show how Managers can use AI to improve decision-making, while remaining at the center of the creative and strategic process. By combining the technological benefits of AI with strong human management, companies can maximize their potential while maintaining a productive and motivating work environment.