OKRs and KPIs: Two Essential, Yet Distinct Metrics

In this episode, Ricardo discusses Meta's recent development of a "self-thought evaluator," which uses synthetic data to train AI models instead of real human-generated data. This innovation could transform project management by creating lessons learned and risk insights from simulated, rather than real, projects. Ricardo highlights the potential for synthetic data to disrupt the field, as it may reduce the competitive advantage of organizations traditionally relying on real experiences and knowledge. He views this advancement as exciting yet unsettling, given the impact it could have on the value of genuine expertise and experience in project management. Listen to the podcast to know more.

In this episode, Ricardo reflects on a conversation with a project manager who claimed it wasn’t his responsibility to consider the long-term impact of his project. Ricardo argues that today’s project managers must go beyond delivering on time and within budget. They should evaluate the ethical and societal impacts of their work, ensuring it aligns with the greater good. He explains that every project professional, regardless of seniority, has a duty to ask questions and act ethically. Being socially responsible, sustainable, and mindful of societal effects is essential in modern project management. Listen to the podcast to know more.

In this episode, Ricardo discusses the concept of value in projects, explaining that true value goes beyond profit. He questions whether delivering projects on time and on budget truly adds value if they do not benefit society. Using the example of building a bridge that “connects nothing to nowhere,” he highlights the importance of sustainability and the social impact of projects. Ricardo also discusses industries such as online gambling, where profit can come at the cost of social harm. He encourages project managers to consider the long-term social value of their work, advocating for responsible project management that positively impacts society and the environment. Listen to the podcast to know more.

In this episode, Ricardo talks about the benefits of implementing Daily Scrums, even in non-Agile projects. These brief, 15-minute stand-up meetings foster open communication, help teams align, and quickly identify problems. By sharing what they did yesterday, what they plan to do today, and any obstacles, team members enhance accountability and collaboration. Daily Scrums improve decision-making, detect problems early, and maintain team focus and momentum. Ricardo highlights that these meetings work best in small groups and can be applied even to large projects with multiple teams. He encourages listeners to try this approach immediately for better synchronization and faster project progress. Listen to the podcast to know more.

In this episode, Ricardo Vargas explores the growing debate around AI's impact on jobs. Last year, Morgan Stanley predicted that AI would disrupt 40% of the workforce (Link to the Article). Last week, Prof Daron Acemoglu from MIT said that everybody overestimates the impact and that the true impact is only 5% (Link to the Article). But for Ricardo, the percentage does not matter; the key is to be prepared for these changes. Ricardo shares his experiences with AI tools and emphasizes the importance of experimenting and adapting. Waiting for the perfect solution won't help—you must act now. Listen to the episode to discover why adaptability is your best strategy in an unpredictable world shaped by AI.

In this episode, Ricardo discusses the volatility of AI projects. He explains that AI projects face volatility due to rapid technological advancements, constant changes in API connections, and their experimental nature. Regulatory and ethical considerations evolve daily, creating uncertainty about legal and public perceptions. Talent shortages compound the challenge, with expertise in high demand and high turnover rates. To manage this volatility, Ricardo suggests adopting agile methods, allowing for flexibility and faster iteration; investing in robust data management to handle large amounts of data and ensure quality; and finally, building multidisciplinary teams that can adapt to evolving AI technologies and collaborate across technical and non-technical areas for long-term success. Listen to the podcast to learn more.

In this podcast, Ricardo explains the concept of delivery cadence, which defines how and when a project delivers products or services. He describes four types: single delivery (everything delivered at the end, rarely used today), multiple delivery (milestones with variable timing), periodic delivery (timeboxed intervals like sprints), and continuous delivery (common in digital projects, where updates are released as soon as they are ready). Ricardo explains that using a delivery cadence improves project predictability by managing stakeholder expectations. Even large capital projects, such as power plants, do not rely on single deliveries, but rather on phased implementations for better financial viability. Listen to the podcast to learn more!

In this episode, Ricardo introduces the AI-Driven Project Manager Certification, explaining the rationale behind this certification. He highlights the growing hype around AI, with many project managers using AI terms without understanding the technology. The certification aims to ensure that professionals have the knowledge needed to manage AI-driven projects effectively. Developed in partnership with APMG, known for its Prince2 and ITIL credentials, the certification is rigorous and severe. Ricardo also highlights the importance of preparing for the future impact of AI on project management, noting that his motivation is not just business-driven but aimed at promoting awareness and readiness among professionals.

In this podcast, Ricardo talks about the common problem of project backlogs that grow instead of shrinking. He offers three practical tips for managing them effectively: (1) Accept that your backlog will never be empty. (2) Prioritize tasks through “radical prioritization,” focusing only on what really matters and delegating or discarding the rest. (3) Control what goes into the backlog, using a “parking lot” for ideas that may not be immediately essential. Ricardo emphasizes the complexity of projects and the importance of making strategic decisions to avoid unnecessary tasks in the project. Listen to the podcast to learn more.

Ricardo talks about PMI’s AI Prompt Engineering for Project Managers course in this episode. He highlights the importance of crafting effective prompts using AI tools like ChatGPT. Essential guidelines include being specific, providing context, setting the right tone, knowing your audience, ensuring clarity, and using structured prompts. Ricardo also stresses the need to experiment, test, and refine prompts for the best results. He encourages PMI members to take the course, praising its value for project management professionals. PMI does not sponsor the episode, but Ricardo shares his genuine appreciation for the course. Listen to the podcast to learn more. ** Check out PMI's Talking to AI course