Sean Storlie

Exciting to see Adaptive tackling the slow payments issue in construction with innovative financial management tools! 🏗️ It's clear their platform addresses crucial inefficiencies in the payment chain, benefiting small- and medium-sized businesses in the industry. The team has closed their $19 million Series A round—looking forward to seeing how they expand and enhance financial workflows for even more construction companies. 💡 A great example of tech-driven solutions making a big impact where it's needed most! 🚀 #ConstructionTech #FinancialInnovation #SMBs https://lnkd.in/eBJq3Q93

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Ethics and product management - perhaps one of the tougher questions we face today. Christian Idiodi and I discuss the issues in the latest podcast…

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Flow is a clever bit of code that helps you boost conversions, stay compliant, and enter new markets fast. Accept payments using customizable components – all through one simple integration. Read more from our Senior Product Manager, Akin Kayim 👇

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Product management is often misunderstood. Rich does a great job of laying out examples in this article. https://bit.ly/3mszyOZ #leadership #productmanagement

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“If there is no clear owner, then it’s the PM that owns it.” I sat down with Esteban Contreras from #ProductState to discuss Product leadership, or Prioritization process at Productboard. We also dug into the concept of Extreme Ownership, which is a principle I firmly believe in. Read more: https://lnkd.in/eVN47mWn #productmanagement #productexcellence #ownership

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🚀 Excited to share my recent interview with Harry Guinness for LeadDev on Retrieval Augmented Generation (RAG) and its potential to tackle generative AI hallucinations. In the article, we discuss: How RAG enhances large language models with up-to-date data. Benefits in reducing hallucinations and improving AI reliability. Practical applications and cost considerations. Challenges in deploying RAG pipelines. Proud to highlight how RAG can help establish "ground truth" and build traceable citations, enhancing AI transparency and trustworthiness. Read the full article here: https://lnkd.in/gjarDhBX #AI #GenerativeAI #RAG #MachineLearning #ArtificialIntelligence #LeadDev #TechInnovation

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Here are my key takeaways from an amazing and insightful podcast on the future of product management by Marty Cagan and hosted by Lenny Rachitsky: - Understand your customers and users well by having "1st hand interactions" - There is a difference between developing a feature vs. solving a customer problem - Many-a-times PMs are doing more project management than product management - Product management is much more than just authoring stories at JIRA or administering backlog or conducting scrum ceremonies - Some key principles: -- Innovation is more important than predictability -- Learning is more important than failure -- Principles are more important than processes -- Demonstrating "real ownership" https://lnkd.in/g6TQSZp6 #productmanagement #products #customers #products #quality

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Callbacks are the backbone of any asynchronous architecture. And for essential services running at population level scale, the callback platform is mission critical - Be it execution of payment mandates, or our daily Merchant Settlements process to ensure a merchant gets their earnings on time, or digital coupons with precise expiry times - we schedule and handle 2 billion + daily jobs with clockwork precision using Clockwork - our in-house scheduler! https://lnkd.in/g8V78WD5 This detailed blog captures how we designed Clockwork for scale in line with our key value of simplicity breeds scalability Our tech blogs are aimed at the engineering community so that we can share our learnings on how to address the challenges of building essential services at scale. If there is any particular topic you would like us to blog about, tell us in the comments below! #tech@phonepe

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Strategic alignment across product and field is complex and not easy to get right, but it's a pleasure to work alongside Brett Crane, Trevor Jett (Childers), and Jarod Greene. It's wonderful to be in conversation with them, sharing what we have learned, in this webinar: https://lnkd.in/gc-qp7Hk

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Reflecting on Liz Fieno’s article, “2024 product benchmarks: Insights for data-driven development,” I’m reminded of the critical role data plays in shaping successful product strategies. Throughout my career, I've seen firsthand the shift from intuition-based decisions to data-driven strategies, and the impact has been profound. The analogy of a product being like a high-performance race car resonates deeply with me. Precision, strategy, and a deep understanding of our competitive landscape are essential. I’ve learned that data isn’t just an asset—it’s the foundation of every decision we make. Embracing a data-driven approach ensures that we focus our efforts on what truly matters. Insights on user retention and feature adoption rates, for instance, are pivotal. Knowing that a small percentage of features drive the majority of user engagement helps us prioritize development efforts, ensuring we deliver maximum value to our users. The data on time spent on web vs. mobile applications also struck a chord. Understanding that users spend more time on web applications suggests different engagement patterns and needs between platforms. This kind of insight allows us to tailor our strategies, enhancing user experience across the board. Moreover, the article's emphasis on key performance indicators (KPIs) aligns with my experience in product management. Metrics like active user growth, stickiness, and NPS response rates provide a comprehensive picture of product health and user satisfaction. These benchmarks are not just numbers—they tell a story about our users' behavior, preferences, and challenges. In essence, Liz’s article underscores a fundamental truth: data-driven decision-making is not just beneficial; it’s essential for success. By transforming gut feelings into actionable insights, we can drive strategic growth and innovation, ensuring our products meet and exceed user expectations. #ProductManagement #DataDriven #Benchmarks #UserEngagement #ProductDevelopment #Insights

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📣 Product Folks: 😡 Have you and your team hit the wall with trying to focus on value? That *could* look like: ▶ No steady stream of data to inform strategy, prioritization + roadmaps ▶ Stakeholder misalignment ▶ Competing priorities ▶ Duplicative or overlapping work streams 🤓 Are you ready to put Product Operations into practice at your company? Join me for Produx Labs' Product Operations June 5 Masterclass! Snag your seat today. https://lnkd.in/ephFvTwf #productmanagement #productops

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If you've built with low-latency data in the past, it may have come at the expense of weak consistency guarantees. But some real-life use cases require always-correct results: ❌ You don't want your auth service intermittently giving access to the wrong users. ❌ You don't want to shut down a user's credit card unless you're sure they're the target of an account takeover attack. ❌ And, you don't want to tell users a package has been delivered when it's still on its way. The ✨ good news ✨ is that there are stronger consistency models that we can layer over streaming systems. If you're trying to build real-time applications that need always-correct data, check out my talk at Current this September: "Consistency and Streaming: Why You Care Should About It." For more details, see: https://lnkd.in/gvBMRHSW

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How can product leaders move the needle and take the lead in this shift? Moving Off the Solution – guide your team to step back from the tech stack and view the challenge from the POV of a new user. Measuring Customer Perceived Value -- require PMs to sit with a cohort of users -- typical users. Conduct a discovery exercise. A small sample size is sufficient. Embrace the Change – this should require a complete change in mindset but a different orientation. Focusing the team on adoption, cross sell and upsell has clear near-term and long-term ROI for the company. Learn more: https://lnkd.in/gjJk_K5V #leadership #prodmgmt #ROI

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🧠🧠🧠 Let's not forget that daily model updates does not mean marketers need to leverage their MMM every single day. It means that our data is ready when YOU need it, not when we feel like running the model. Does that cost more for us? Sure it does. But maybe doing things just a bit differently is what our industry needs. Reach out if you have questions 🤙🏼

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There's been an explosion of product thought leaders and influencers, frameworks, content, and courses. You will be confused, overwhelmed, and go crazy if you try to consume and follow all of them. All you need to do is stick to the basics consistently. Your goal is to deliver valuable and usable products to customers, with a viable business model around them. You can do that by (a) understanding problems and customers deeply, (b) creating a thoughtful roadmap, and (c) executing well with your team to deliver often and iterate.

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Does the state of your metadata matter for AI preparedness? TL;DL: Yes. But I still encourage you to listen to this insightful podcast episode from the Traction Complete team interviewing our very own Michael Bogan and Rob Acker.

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As product leaders, we thrive in the face of uncertainty—it's where endless possibilities exist. But in a world that values certainty, how do we lead? In this article, I'm excited to share proven strategies for navigating ambiguity and bringing greater clarity to our organizations. Special thanks to Tidemark and David Yuan for the platform, and Craig Daniel and John Cutler for their invaluable contributions! #productleadership #CPO

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It’s exciting to witness how the hyperscalers are enabling a hyper-collaborative marketplace ecosystem that allows the multiplication of revenue opportunities. I see this happening in two ways 1️⃣ ISVs are being encouraged by hyperscalers to build with interoperability in mind 🔧 All three #hyperscalers have, over the course of the last few years, incrementally deepened their partnerships with on-page "competitors" like Salesforce and Snowflake to break data silos and leverage #GenAI on more comprehensive data sets. AWS, GCP and Azure are not just strengthening their own associations, but they are also actively encouraging collaboration between these ISVs to drive interoperability, aimed at the creation of joint solutions that significantly expand the universe of customers who can benefit. Snowflake’s most recent Polaris Catalog launch also reaffirms its commitment to interoperability with a wider library of industry players (beyond the three clouds) including hyperscaler partners like Salesforce and Confluent. That brings me to point 2…. 2️⃣ Hyperscalers are actively inviting the participation of channel partners to piece complementary solutions together 🤝 As ISVs focus on creating compatible offerings with each other, and with hyperscaler services, buyers have the opportunity to find end-to-end solutions for specific use cases right from the marketplace catalog. To do so, they’re relying on partners to identify, connect and manage these increasingly complex technologies. This presents a tremendous opportunity for channel partners to add value to these marketplace-led deals by helping piece solutions together into a comprehensive whole. Hyperscalers are also cognizant that the “channel is the glue between them and the lower enterprise, midmarket and SMB,” as I’ve hear my friend and founder of Ultimate Partner Vince Menzione put it, and are actively developing strategies to incorporate channels into marketplace deal workflows. There’s a clear signal to shift the perception of marketplaces from being potential threats to traditional partnership associations, to what they really are – growth opportunities. Channel partners who recognize this sooner rather than later, have biggest opportunity to capture net new business.

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