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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.
If you’re sprinting with delivery while discovery is stuck in the parking lot, you’re not agile. Most product teams talk about dual-track agile, but few actually do it well. This is your playbook for doing dual track right: grounded in systems, supported by templates, and focused on impact. Discovery gets sidelined.
An AI system, properly implemented, doesn’t have these same motivationsit simply reports what it finds in the data. Unlike traditional research projects that often require extensive planning and formal structure, AI-powered approaches offer more agility and flexibility.
Adapting with Agility: The importance of simplicity and collaboration over complex systems. Common Pitfalls in Product Teams: How teams can fall into delivery or process traps. Customer Insights vs. Assumptions: How to ensure true customer obsession drives decisions.
As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance.
The pace of product management has accelerated exponentially in recent years because of agile development and the relentless focus on metrics. Agile is a great software development methodology but it has consumed product managers to the point where they have almost no capacity to do product management. It’s not AI.
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.
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.
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.
Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Key metrics to monitor when leveraging two container orchestration systems. Containers power many of the applications we use every day.
Introduction: The Rise of the AI-Augmented PM Welcome to the era where product managers don’t just manage products—they orchestrate intelligent systems . Strategic Judgment Use AI as a decision support system—not a decision maker. And no, this isn’t about replacing PMs. It’s about amplifying them.
A product leader with 7+ years of experience in product management or a related field who has successfully built and scaled complex systems at a global level. A person who lacks experience leading agile development or working in fast-paced, iterative environments. Who would be the best fit for this job?
Strong collaboration across product management, engineering, and design helps teams remain agile in a more structured environment. Streamlining Support and Issue Resolution As product complexity grows, so does the need for efficient support systems.
That’s why it’s essential to clearly explain how the product development process works — and why agility is often more valuable than a fixed plan. I need to understand which tech stack will be used so I can choose a compatible design system that works for both design and frontend.
While this is not a deep dive into delivery mechanisms like big room planning or agile rituals, it is about creating the clarity that enables those activities to be effective. A shared system of record helps teams course-correct without losing context. The Strategy-Execution Gap Is Real This gap usually does not start with bad intent.
Ive been working with ML & AI for 7+ years and have shipped products ranging from expert systems to statistical models, to LLM-powered features and convolution-powered recommendation engines. Ship improvements often, use feedback and data to get better, and stay agile with the rapidly evolving AI tech.
Uncertain outcomes: Without real-world validation, predicting an AI systems performance or business impact can be challenging. Greater resource demands: Developing, training, and scaling AI systems can stretch budgets and overwhelm teams.
When teams use different systems, cohesion is lost These challenges are not due to lack of effort – they stem from a lack of shared structure and systems. They build backend systems and APIs to support freemium-specific entitlements, manage feature gating, and enable the dynamic presentation of upgrade opportunities.
The rise of intelligent product development powered by AI and now agentic workflowscalls for a new kind of operating model: one that is agile, continuous, insight-driven, and AI-augmented. Its not just UI/UXits system design that learns and adapts. What is intelligent product development? You can test hypotheses with synthetic data.
Negative user experience = lost customers Users get frustrated when they encounter functional bugs like a payment system failure, a broken feature, or a poorly functioning app. If you're in an agile development environment, you must move quickly to build a stellar product.
This focus on short-term solutions aligns well with the belief in agile and continuous deliverywe need to deliver quickly and provide user value. However, the actual root lies in the classic debate between analytical thinking (breaking things apart) and systems thinking (focusing on interconnectedness).
Stripe, for instance, has turned complex payment systems into an elegant and approachable experience, making developers and businesses fall in love with itsbrand. Its a holistic system that weaves together strategy, design, functionality and authenticity. Your digital brand should connect with users on an emotional level.
What You’ll Learn: The Challenge with Tools: Why existing systems fail to tie strategy, roadmaps, and tasks together effectively. If youve been frustrated by the limitations of roadmapping software, this episode offers insightful reflections on whats needed in the market.
The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using Netflixs world-class content delivery ecosystem. Skills AI/ML integration, product strategy, SaaS platforms, data analytics, cross-functional leadership, and agile execution. How can Spencer benefit your company?
This comes from the Agile Manifesto , reducing our batch sizes. You just set up the system and now you’re regularly getting interviews on your calendar. We have, I think in Agile, they talk about the three-legged stool or the three amigos. I like to encourage teams to work with one opportunity at a time.
Ask yourself: Can I confidently write a spec or collaborate on system design? Download my PM Role Clarity Canvas its a great starting point for self-assessment. So… Where Do You Stand? Heres the part where I challenge you. Am I comfortable poking around in data (even just a little)?
Just as the standardisation of brands through corporate brand guidelines once signalled the end of exploration in advertising agencies, the standardisation of user interfaces through unified patterns and design systems now marks a similar trend in digital product design.
By asking, What systemic issues are contributing to this problem? For example, the product mindset was instrumental in developing anti-lock braking systems (ABS) for cars, which dramatically reduced accidents by addressing the root issue of skidding during sudden stops.
Development: Frontend, backend, API integration, agile sprints. A global retailer engaged an external partner for endtoend development of a mobile loyalty app, including integration with POS systems, analytics dashboards, and thirdparty loyalty providers. Conduct unit, integration, system, and user acceptance testing.
In this role, you will define and execute the mobile product strategy, enhancing the user experience for field service professionals while driving seamless integrations with enterprise systems. A person who lacks experience leading agile development or working in fast-paced, iterative environments. Who would be a BAD fit for this job?
Garrett discusses how PlateRate offers a loyalty system that incentivizes repeat visits to restaurants by rewarding customers for trying the highest-rated menu items. Learn how this innovative approach is reshaping customer retention for restaurants.
Leverage robust APIs to connect to any data source, enabling real-time insights across multiple systems. Real-Time Monitoring: From spotting trends to addressing issues before they escalate, real-time analytics unlocks agile decision-making and operational efficiency.
It’s reshaping how software teams build products by shifting engineers from writing every line of code to curating intelligent systems. From writing code to curating systems: A new way of working In the past few years, engineers have moved from writing code to curating systems.
Learn about delta testing Resources By Type ïª Blog ï Ebooks & Guides ï¬ Events & Webinars ï Case Studies ï Podcast ï Community Featured Content The Definitive Guide to Delta Testing What is delta testing and how are tech leaders using it to deliver customer insights throughout agile development?
Learn about delta testing Resources By Type ïª Blog ï Ebooks & Guides ï¬ Events & Webinars ï Case Studies ï Podcast ï Community Featured Content The Definitive Guide to Delta Testing What is delta testing and how are tech leaders using it to deliver customer insights throughout agile development?
Agentic AI systems will become mainstream In the next three years, software development will increasingly focus on building agentic AI systems designed to autonomously take action, be collaborative, and adapt to achieve some goal. Reinforcement learning will enable agentic AI systems to adapt and improve continuously.
What you’ll learn: Why traditional Agile and Scrum methods often lead teams into endless cycles of work without meaningful shipping milestones. The “appetite-driven” approach to product development where teams set fixed timeboxes (usually six weeks maximum) and vary the scope instead of expanding timelines.
Learn about delta testing Resources By Type ïª Blog ï Ebooks & Guides ï¬ Events & Webinars ï Case Studies ï Podcast Featured Content The Definitive Guide to Delta Testing What is delta testing and how are tech leaders using it to deliver customer insights throughout agile development? This guide has all the answers.
It sounded like the perfect blueprint for agile success. It was a fresh take on scaling agile practices, and many companies were eager to adopt it. And success doesn’t prove a system works. Squads, tribes, chapters, and guilds. We tried implementing it, but quickly realized it was too much structure for a team of 20.
Whether youre navigating a tricky workplace conflict, rethinking a personal goal, or addressing a systemic obstacle, better questions guide you toward better answers. A Year of Breakthroughs This year, challenges are inevitablebut so are opportunities. Every question you ask is a chance to uncover something meaningful.
To help you build smarter (not just faster), we sat down with Matt LeMay – author of Agile for Everybody product discovery evangelist, and creator of the One Page / One Hour method – to learn how to keep discovery grounded in real business impact. Thats what Im mostly looking at these days.
Learn about delta testing Resources By Type ïª Blog ï Ebooks & Guides ï¬ Events & Webinars ï Case Studies ï Podcast ï Community Featured Content The Definitive Guide to Delta Testing What is delta testing and how are tech leaders using it to deliver customer insights throughout agile development?
Skills Product strategy, growth hacking, A/B testing, user research, community building, API literacy, data analysis, SaaS, customer engagement, stakeholder management, cross-functional leadership, Agile methodologies. He establishes scalable product and operational systems that align teams and maximize efficiency.
Localization and multilingual support: The platform supports over 80 languages for global reach SCORM and LMS integration: It integrates with SCORM-compliant LMS systems for training rollouts, but youll still need technical vetting and configuration before it goes live. Heres why: 1.
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