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I’m disappointed to see the rise of generativeAI tools that are designed to replace discovery with real humans. I’m a big fan of generativeAI. Tweet This So I want to take some time to review why we do discovery. I also want to note that the world of generativeAI is moving quickly.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams. However, these early efforts faced significant limitations.
In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment.
8 AI trends that will define product development By Greg Sterndale Posted in Digital Transformation , Product Published on: February 12, 2025 Last update: February 10, 2025 From modular architecture to agentic AI How product development will evolve in 2025 & beyond In product development, change is the only constant.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams. However, these early efforts faced significant limitations.
Gartner estimates that through 2025, at least 30% of generativeAI projects will fail after PoC due to poor data quality, inadequate risk controls, escalating costs, or unclear business value. Uncertain outcomes: Without real-world validation, predicting an AIsystems performance or business impact can be challenging.
McKinsey has estimated that AI technology could generate $60 billion to $110 billion per year in economic value for the pharma and medical-product subsectors alone. With the average cost of developing a new drug at approximately $2.3 Data quality is fundamental to any AI project. Here are five questions to ask.
Sales teams inundate us with urgent-but-repetitive ‘does product X do thing Y?’ 1] “Product Needs to Help Sales Close Major Deals” Enterprise sales teams are paid, rewarded, promoted, and measured on closing individual (big) deals. So There’s something more systematic here.
They represent the customer’s voice and collaborate with product teams and stakeholders. The RICE framework evaluates features by weighing their Reach, Impact, and Confidence against the Effort required for development. A product manager or owner is responsible for prioritizing product features.
How I chose the best customer engagement software My evaluation process combined thorough feature analysis , a careful review of user feedback, and insights from industry reports. Best for: SaaS product teams who want a powerful but easy-to-use platform to improve onboarding, increase product adoption, and drive user engagement.
We reorganized our tech teams along value streams that align to segment of the customer journey, and set up Objectives and Key Results (OKRs) around that. Our approach has been to identify where we can move the needle on the business and then determine where refactoring and re-implementation are needed within our core systems.
a text-generatingAI, and according to OpenAI , it can generate text in a dialog format, which “makes it possible to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”. The bot is powered by GPT-3.5, So, it’s an interesting question.
For more: Best of Lenny’s Newsletter | Hire your next product leader | Podcast | Lennybot | Swag Subscribe now In my quest to develop a comprehensive benchmark to measure progress toward AI replacing PMs, I teamed up with full-time prompt engineer (and past collaborator) Mike Taylor on a piece that will surely blow your mind.
In this week’s newsletter, I’m focusing on articles which will help you navigate through the product management fog and learn practices that help setup product teams for success. To ensure your team’s success, think beyond your own team. which bring more value and benefit the organization - not just your team.
In our Conversations with Chief Innovators series, Larry explains that business leaders are concerned because AI “exhibits behaviors we might label as bad in humans.” As a result, he says, “We need to understand and quantify the risk profile of new solutions using generativeAI.”
Why your AI strategy is stalling And how to fix it By Patrick Sheridan Posted in AI Transformation , Modernization Published on: May 23, 2025 Last update: May 23, 2025 Youve run a few AI pilots. Maybe your team played around with ChatGPT Pro or built a quick internal chatbot. You dont need 20 experiments.
Beyond the Hype: AI for Strategic Foresight By Erica Wass Product professionals are now being held to a higher standard as they are increasingly expected to deliver commercial outcomes and drive strategic value. Market-defining shifts rarely show up in sprint reviews. Strategic Foresight helps product teams look further ahead.
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