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Summary In this episode of the Product Coalition podcast, host Jay Stansell interviews Alex Blinoff, a global product executive with over 15 years of experience. They discuss the evolving role of product managers, the importance of communication and collaboration, and the impact of new technologies on product management.
When stepping into a new product team, it’s easy to fall into the trap of proving yourself by owning everything , including responsibilities that shouldn’t fall on you. In this episode, David Clements reflects on the pressure to deliver quickly, the tension between product and project roles, and the subtle art of staying focused on what actually moves the product forward.
Uncertainty is not the exception anymore. It is the environment. The strongest product leaders are not frozen by ambiguity. They build systems for curiosity, flexible planning, and continuous learning that help their teams thrive even when the path ahead is unclear. In July’s TPG Live roundtable, we brought together product leaders who have guided teams through acquisitions, scaled research-driven cultures, and launched in volatile markets.
As a product manager, I’ve come across all the common obstacles to creating personas. And what I’ve learned is that, besides getting stakeholder buy-in, you need a solid process to collect high-quality data, organize user segments, and create story-driven personas that are easy to follow. Otherwise, you’ll end up with guesswork-based personas that aren’t actionable enough to drive product decisions nor relatable enough to inspire, and the work of all your company’s teams will stay disconnected f
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 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Too many product teams spend months or even millions training AI models that never deliver real value. Why? They never ask the right questions or discover the right data in the first place. This is exactly what happens when you skip structured AI data discovery. To help you avoid this trap, we teamed up with Paweł Huryn – trusted by nearly 200,000 product leaders and thousands of Product Compass subscribers to unpack his actionable AI Data Discovery Framework.
As global manufacturing markets continue to evolve, executive leaders face an increasingly complex question: How do you successfully steer your organization through a landscape defined by constant innovation, shifting customer demands, and intense competition? At the heart of this challenge lies adaptive product portfolio management , the engine that drives growth, revenue, and market positioning.
As global manufacturing markets continue to evolve, executive leaders face an increasingly complex question: How do you successfully steer your organization through a landscape defined by constant innovation, shifting customer demands, and intense competition? At the heart of this challenge lies adaptive product portfolio management , the engine that drives growth, revenue, and market positioning.
In today’s fast-moving business landscape, it’s a common scenario: you have the same ambitious goals and tight deadlines as before, but with fewer team members and tighter budgets than ever. Layoffs, budget cuts, and exhausted teams are a reality for many leaders, from CEOs to VPs of People. So, how do you achieve ambitious targets when resources are constrained?
What’s your biggest challenge with user onboarding? Low user activation rates High drop-off during onboarding Users not discovering key features It takes too long to build and iterate How are you currently building your user onboarding flows? Fully in-house with developer resources Using a basic open-source tour library We don’t have a formal onboarding process yet We’re looking for a no-code onboarding wizard What’s most important in an onboarding wizard solution for you
AI-driven user testing, video insights, plus seamless app distribution and expert resourcesâ discover Centercode 10x. Platform Scalable, Automated, Real-World User Testing Centercode is the leading platform to manage impactful in-the-wild user tests. Start for free , scale as your program grows. Platform Overview Managed Services Compare Plans What's New?
Shuttle Diplomacy is when you have one-on-ones with key stakeholders to understand their priorities and perspectives. During these meetings, share a draft of your roadmap and invite their feedback. This helps avoid unpleasant surprises and grumpy stakeholders when the roadmap is unveiled. Subscribe to my weekly Nano-letter: Sign Up Each stakeholder has their own language, though, so you must “translate” your roadmap into terms your stakeholder understands.
When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.
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. That flexibility is part of the job, but it should not become the default.
Intuit launches agentic AI experiences tailored for mid-market organizations, aiming to save them 17 to 20 hours per month. The new AI solutions are designed to meet the specific needs of mid-sized companies, streamlining processes and increasing efficiency. This move demonstrates Intuit's commitment to providing innovative tools for businesses in this market segment.
What’s your biggest challenge with new user activation? A solid customer lifecycle strategy starts with a strong onboarding experience. Getting users to their “aha!” moment quickly. Guiding different user segments effectively. Understanding where new users get stuck. How do you currently drive feature adoption? Driving users to adopt key features is crucial for long-term retention.
In today's AI-powered workplace, words carry more weight. They determine whether employees feel valued and engaged, or disconnected and disruptive. As companies embrace AI-generated communication, we face a choice: efficiency or humanity? What we say shapes how work gets done. Our words reveal our intentions and determine how effectively teams collaborate.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
Stripe’s rapid growth isn’t just about great products. Behind the scenes, the company is powered by a strong internal framework. Stripe's operating principles guide how Stripes think, communicates, and makes decisions every day. In this guide, we’ll break down Stripe’s principles, explain why they matter, and demonstrate how they’re applied in hiring, communication, and culture.
At Gainsight, we believe the next era of enterprise software will be defined by agentic AI — systems that don’t wait for a prompt, but take action across the customer journey with context, guardrails, and purpose. These systems learn, adapt, and drive outcomes in the background so your teams can focus on what matters most. This is the promise of Atlas , our new generation of AI agents.
Why is this in your inbox? Because How I AI , hosted by Claire Vo, is part of the Lenny’s Podcast Network. Every Monday, we share a 30- to 45-minute episode with a new guest demoing a specific, practical, and impactful way they’ve figured out how use AI to work better or faster. No pontificating—just real actionable advice.
What’s your biggest challenge with user onboarding communication? Reaching users with the right message at the right time. Personalizing communication based on user behavior. Effectively announcing new features to drive adoption. How do you currently segment users for onboarding messages? Based on user behavior and in-app actions. Based on user profile data or persona.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Developers and product managers should approach MCP with structured curiosity to maximize its potential while addressing practicalities and risks. The post 7 Key Questions Your Developers and Product Managers Should Be Asking About MCP appeared first on nextbigwhat.
Modus Create achieves AWS Life Sciences Competency status By Modus Create Posted in News Published on: July 24, 2025 Last update: July 24, 2025 RESTON, Va. --( BUSINESS WIRE )-- Modus Create, a global digital consultancy specializing in product engineering, today announced it has achieved Amazon Web Services (AWS) Life Sciences Competency status. This designation recognizes Modus Create for its demonstrated expertise in delivering secure, cloud-native solutions that help pharmaceutical and life
Nearshoring isn’t just a trend — it’s the new competitive edge. As U.S. tech companies race to build high-performing teams without breaking the bank, Latin America has become the go-to talent hub. Among the top contenders, Argentina and Mexico stand out as nearshoring powerhouses, but for very different reasons.
Listen now: YouTube // Apple // Spotify Brought to you by: Sauce —Turn customer pain into product revenue LucidLink —Real-time cloud storage for teams Fin —The #1 AI agent for customer service Benjamin Mann is a co-founder of Anthropic, an AI startup dedicated to building aligned, safety-first AI systems. Prior to Anthropic, Ben was one of the architects of GPT-3 at OpenAI.
Stand out in your product management interview with guidance from Priyanka Upadhyay, an experienced product leader and Stanford Online program coach. In this guide, Upadhay dives into five key competencies interviewers will likely want to assess. She provides sample questions with detailed answers spanning: Product strategy Product design Execution Market estimation Teamwork Confidently land the product management role you want by pre-empting what interviewers are looking for and demonstrating y
What’s the biggest hurdle in your EdTech user onboarding? Low initial engagement from students or educators Users getting lost or stuck in the platform Onboarding isn’t personalized to different user roles Lack of visibility into where users drop off How do you currently encourage feature adoption post-onboarding? Primarily through email campaigns and newsletters Generic in-app pop-ups and announcements We hope users discover features on their own Contextual hints based on user behav
A former Anthropic executive has raised $15 million to establish an AI insurance startup aimed at assisting enterprises in safely deploying artificial intelligence agents by offering standards and liability coverage. The funding will support efforts to ensure responsible AI deployment and help startups navigate potential risks associated with AI technologies.
Below, we'll show you how to reverse a downlevel offer in your engineering interviews. 📌 Scenario : Suppose you've been interviewing for a staff engineer position. When the offer comes back, it's for a senior role. Sound familiar? Welcome to the club. If you've been downleveled or suspect it's about to happen, you can reverse it.
Imagine this: You walk into work on a normal Tuesday, coffee in hand, only to be called into an emergency all-hands meeting. Your division is being dissolved. In an instant, everything changes. The post Finding Your Footing When The Ground Shifts Beneath You appeared first on Nir and Far.
Effective risk management in product development balances safety, compliance, and opportunity. Risks can't be eliminated, but they can be mitigated through structured assessments, clear documentation, and expert guidance. Engaging specialists ensures efficiency, regulatory adherence, and product security while reducing costly oversights. A well-executed risk management plan includes frequent evaluations, defined assessment criteria, and a structured decision-making process.
eG Enterprise version 7.5 introduces advanced capabilities for detailed SSL Certificate Monitoring including monitoring for web servers and apps using SSL. Monitoring SSL certificates is essential to ensure secure connections, prevent service outages, and maintain user trust. Here are a few things you need to monitor and questions you should ask to keep your services and apps running reliably and securely.
What’s the biggest hurdle in your EdTech user onboarding? Low initial engagement from students or educators Users getting lost or stuck in the platform Onboarding isn’t personalized to different user roles Lack of visibility into where users drop off How do you currently encourage feature adoption post-onboarding? Primarily through email campaigns and newsletters Generic in-app pop-ups and announcements We hope users discover features on their own Contextual hints based on user behav
Anthropic research uncovers that AI models exhibit decreased performance with prolonged reasoning time, contradicting industry beliefs about test-time compute scaling in business applications. This discovery challenges the conventional understanding of AI model optimization and deployment strategies. The post AI Models Perform Worse with Extended Reasoning Time, Anthropic Researchers Find appeared first on nextbigwhat.
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