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Listen to the audio version of this article: [link] A Product Strategy System The product strategy system in Figure 1 consists of four main parts: people, processes, principles, and tools. Like any system, it is a collection of interconnecting parts that function as a whole. If so, what are they?
This question has led us to develop what we call “heartbeat metrics” – vital signs that instantly tell us if our systems are truly serving their purpose. Modern systems are complex. Multiple heartbeats: How we monitor Engineering reliably at scale means recognizing that complex systems need multiple vital signs.
hours daily fixing problems, with 75% of issues stemming from broken systems rather than employee mistakes. Even more concerning, products typically lose 50% of their innovative value during development as unique ideas get compromised to fit existing systems. Doug shared that the average manager wastes 3.5
It hides inside systems that reward responsiveness and velocity but slowly drain energy, clarity, and motivation. It is systemic. As a product leader, you are in a unique position to influence that system. As a product leader, you are in a unique position to influence that system. And it’s not personal weakness.
Speaker: Dylan Secrest, Founder of Alamo Innovation and Construction Digital Transformation Consultant
Join expert Dylan Secrest to discover how leading contractors are turning payment chaos into clarity using digital workflows, integrated systems, and automation strategies. Build a Scalable Payment Workflow 🚀 Design repeatable, tech-enabled systems that support growth and reduce administrative overhead. The good news?
This weeks Sunday Rewind goes back to 2022 and a #mtpcon SF+Americas 2022 keynote from Scott Williamson, former Chief Product Officer at GitLab, who offers seven signs that you may be in a bad product system, and gives some practical and actionable advice on making meaningful changes.
Brought to you by: • WorkOS —Modern identity platform for B2B SaaS, free up to 1 million MAUs • Productboard —Make products that matter • Wix Studio —The web creation platform built for agencies — Keith Coleman (VP of product) and Jay Baxter (founding ML engineer), the minds behind Community Notes, reveal how (..)
Our more senior engineer might be most interested in system architecture, code reviews, and mentoring other engineers. The most senior engineer might be most interested in system architecture, code reviews, and mentoring other engineers. However, sometimes this doesn’t work for engineering. The team just wasted their discovery efforts.
Understanding OKRs: From Intel to Modern Product Teams The evolution of Objectives and Key Results (OKRs) began at Intel during the 1970s and 1980s, where Andy Grove transformed the traditional Management by Objectives (MBO) system into something more dynamic and outcome-focused.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0
Claude goes one step beyond ChatGPT’s abilities with their Artifact system. Luckily, you can build a prototype using existing patterns and components from free and publicly available design systems like Tailwind or Shadcn UI. Artifacts allow you to run the code within Claude’s interface and deploy to a shareable link.
When I was Head of Product at eBay, one of my primary responsibilities was to lead and build eBay’s new catalog system. We spent months defining how the new catalog system should work. I’ll just say that it was a totally different concept than the existing system’s one. That’s just one of the challenges we had.
Their approach includes: Creating systems for cross-team collaboration Building trust through consistent practices Focusing on employee satisfaction Maintaining strong customer connections Product Led Growth (PLG) in Action James explains that PLG companies like Zoom, ClickUp, and Pendo demonstrate the Launch Code principles naturally.
In this episode of How I PM, Aniket Malvankar, Head of Product (IoT) at Vantiva and Founder of Product Bricks, shares an important reminder for every product manager: support your team, but do not silently cover for broken systems. Product managers often jump into customer service, QA, or internal support.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API.
Turning OKRs into a high-performance system By Kathryn Shepherd-King At a Glance OKRs Aren’t the Problem. The post Turning OKRs into a high-performance system appeared first on Brainmates. It’s How We Use Them. Most teams adopt OKRs to improve focus, alignment, and impact. The issue isn’t the framework. Less theatre. More impact.
They build systems for curiosity, flexible planning, and continuous learning that help their teams thrive even when the path ahead is unclear. Uncertainty is not the exception anymore. It is the environment. The strongest product leaders are not frozen by ambiguity. It is a structure.
This mostly worked, but it required a lot of administrative work to keep our systems in sync. There were dozens more that required that we make changes in all of our systems. At the heart of all of my administrative troubles was the need to move data in between disparate systems and to make sure that all of these systems were in sync.
Perhaps part of the solution lies in product psychology the art of designing systems that prevent bad behaviour before ithappens. If the system flags a mismatchsay, a blue door instead of a red onethe driver could get notified before leaving the order in the wrongspot. P.S., this is a summary from my own article here.
As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
He explains that their approach to innovation deliberately avoided the common pitfall of creating a two-tiered system where only designated “innovators” were responsible for new ideas. Creating an Inclusive Innovation Environment The foundation of PayPal’s innovation success rested on a culture of trust and autonomy.
Natural Language Processing (NLP) is another game-changer, making it possible for systems to understand and respond to human language. top pick foryou Netflixs Content Recommendation System Netflix leverages AI to predict viewer preferences based on past viewing history, optimizing content recommendations for each user.
This human element helped them: Understand nuanced customer needs that might not appear in data Identify patterns in customer requests before they become trends Build stronger relationships with customers Gather qualitative feedback that improved their AI systems Strategic Partnerships The research also led to strategic partnership opportunities that (..)
A systems integration workshop is crucial for unified content management. Learn how to streamline operations, centralize your CMS, and adapt to regional needs for a cohesive global content strategy The post Why a Systems Integration Workshop is Essential for Unified Content Management appeared first on Development Corporate.
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
As designers, were no longer just creating static interfaces; were shaping dynamic, adaptive systems that learn, respond, and even create alongside us. This article explores seven emerging UI patterns when designing AI-powered products, from collaborative canvases like Figma AI to system-level agents like Rabbit OS orAutoGPT.
It’s about visibility, alignment, and the ability to operate within complex systems. Know when to lead, follow, or reframe the system. PMs at the top of their game influence decision-making systems, planning rhythms, and cross-team collaboration. High-performing PMs know how to: Make their impact seen and felt.
Types of Product Manager Interview Questions Behavioral: “Tell me about a time…” Product Sense: “How would you improve…” Technical: Understanding systems, APIs, and trade-offs Case Study: Real-world scenarios to test your thinking How to Answer: “Tell me about a product you admire” This is a common question to assess your product thinking.
This systemic view helps ensure alignment between product strategy and overall business objectives. Kim explained that being a CPO means having both the right and responsibility to identify challenges and opportunities throughout the organization, not just within product development.
But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world.
An AI system, properly implemented, doesn’t have these same motivationsit simply reports what it finds in the data. This specialized training creates AI systems that are specifically optimized for VOC research rather than general-purpose AI.
He’s an individual contributor (IC) PM who leverages AI tools and a suite of productivity systems to get more done with fewer resources (and management layers). For more: Hire your next product leader | Favorite Maven courses | Lennybot | Podcast | Swag Subscribe now I believe the future of product management looks like Tal Raviv.
But only if your systems are ready for it. In Part 2: Prioritization, Tradeoffs, and Scenario Planning AI isn’t just another roadmap tool. It changes how teams surface tradeoffs, build rationale, and plan with optionality.
Meta is set to use an AI-powered system to assess up to 90% of potential harms and privacy risks in updates for apps like Instagram and WhatsApp. The post Meta to Automate Product Risk Assessments with AI System appeared first on nextbigwhat. This automated approach aims to streamline the evaluation process and improve efficiency.
Learn ten rules that will help you perfect your Kafka system to get ahead. Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it.
In the retail industry, customer feedback is your early warning system, your innovation engine, and your most honest performance review. But this system only works if you take action on the feedback collected.
We can create systems that gently sway judgments and match actions with long-term objectives to combatthis. He proposed the functional triad, which is three basic ways users view or respond to computing technologies; Primary Task Support, Dialogue Support, and System Credibility Support.
Many apps, like Twitter , offer an auto-switching feature based on system settings. Companies often tweak their branding slightly for dark mode to maintain consistency across boththemes. Always Give Users a Choice Some people love dark mode, others prefer light. The Future: AI-Powered Adaptive DarkMode Dark mode is only getting smarter.
In the first part of this series, we explored the fundamentals of stakeholder dynamics, focusing on communication, influence, and transparency. However, product managers often face even greater challenges when navigating high-stakes situations with senior leadership or dealing with conflicting priorities across departments.
Learn 10 rules that will help you perfect your Kafka system to get ahead. Apache Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it.
Align All Choices into a Coherent System Conflicting decisions will cancel each other out. These “limiting” choices created a system that was unbeatable on price, punctuality, and frequency. Because the whole system is coherent and extreme. Crucially, assess the consequences of each choice, not just the “pros and cons.”
Her background is in developer tools and distributed systems. These metrics are designed to be used together as a system to provide a balanced look at overall team performance. It’s important that this metric is used only as a system health metric, and always alongside other metrics in the framework.
Our digital twin spotted a potential system collapse before any alarms went off. While your actual system handles the day-to-day operations, its twin runs scenarios, spots potential issues, and gives you insights you never knew you needed. Last month, I was having a virtual coffee with Sara, the CTO of a rapidly growing SaaS platform.
In Part 1: Discovery, Research & Early Exploration We explore how AI is transforming the earliest stages of product work and why product leaders must redesign their discovery systems before speed turns into noise.
Key metrics to monitor when leveraging two container orchestration systems. Download this eBook to learn about: The changing state of containers in the cloud and explore why orchestration technologies have become an essential part of today’s container ecosystem.
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