Portfolio Managers Focus Group
R&D Metrics Reloaded: The impact of code and technical debt – Remus Pereni
Through the R&D Metrics exercises performed on select portfolios last year, we have seen how much code debt and technical debt the products have. Even if we all feel this can’t be good, evaluating the impact on development productivity and bugs was elusive. In this iteration, we try to show what the research says in this domain and whether the research results can be translated/measured in our projects.
Besides presenting the overall results on the R&D metrics performed and whether there have been any improvements for the companies to decide to re-run them, we are also going deeper into the actual impact of tech and code debt and measures to address them. In the group discussions, we’ll discuss best practices and lessons learned by the group in handling code complexity and technical debt, as well as determining what a good engineering culture is and how to foster it.
Download the presentation here.
Product management maturity: Putting a number on software waste – Bogdan Chiorean
Product management plays a pivotal role in driving the success of organizations, yet its impact is often difficult to assess and quantify. In this session, we will introduce an easy-to-use framework for evaluating the influence of product management on the organizations your MDs manage. This framework will equip you with a playbook for asking the right questions and engaging in meaningful discussions, helping you uncover critical insights into how your portfolio manages product development.
Join us for a thought-provoking conversation on sharing best practices and leveraging collective knowledge to optimize product management strategies toward the end.
Download the presentation here.
Generative AI: Understanding the gap between the AI-promised land and the AI reality land – Paul Cirstean
Artificial Intelligence has rapidly evolved in recent years, transforming from a complex, costly technology into an accessible and affordable tool for businesses of all sizes. AI tasks that once required months of development by PhD-level experts can now be completed in weeks by skilled software developers. As AI becomes more integrated into core business processes, it is crucial for business leaders to move beyond the hype to understand the limitations and capabilities of this technology and focus on practical applications that drive value.
Bill Gates once said, “We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten.” This is especially relevant for AI in 2025. Join us to explore best practices for tracking AI-based initiatives and preparing your portfolio companies to navigate the rapidly changing AI landscape.
Download the presentation here.
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