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Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
90% of executives say they prefer visual storytelling over dense reports. Its a technique borrowed from the world of film and designbut it might just be the most underrated tool in a product managers toolbox. PMs are often tasked with aligning stakeholders, guiding engineering teams, and championing the customer.
A few themes emerged over both the talk and the fireside chat that I want to highlight. We need engineers involved throughout. Full Transcript: Continuous Discovery Habits Overview Deep in discussion with the host during the fireside chat portion of my talk. I started my career as a software engineer.
Whether you’re already deep into AI tools or just getting started, you’ll learn what tools you should be paying attention to, which tool to use when, and how to get unstuck when you run into an issue. Choosing your tooling Current AI development tools come in three types: Chatbots (e.g.
Simplify security OneSchema —Import CSV data 10x faster Michael Truell is the co-founder and CEO of Anysphere, the company behind Cursor—the fastest-growing AI code editor in the world, reaching $300 million in annual recurring revenue just two years after its launch.
Transforming user experience in cars-as-a-service industry through Strategic AI/ML Integrationa UX casestudy. Overview This case study focuses on integrating AI/ML to improve user experience in the car-as-a-service automobile marketplace. Prompt samples based on real Data on how customers source for cars in rental marketplaces.
How product managers can use AI to work more efficiently Watch on YouTube [link] TLDR AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative. The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing.
Some, which focus on language—like ChatGPT o3 , Claude Sonnet 4 , Gemini 2.5 There are also more traditional types of AI models, such as classification models (used in tasks like fraud detection), ranking models (used in search engines, social media feeds, and ads), and regression models (used to make numerical predictions).
That changed in 2024 — the year AI stopped being a side project and became the engine of digital banking. The payoff is already visible in richer digital experiences, sharper personalization and faster, safer service. Within this landscape, banking/financial services is a leading adopter of AI.
Ulwick realized that if we could predict how customers would measure a product’s value, we could design products to meet those criteria. Building the ODI Framework After the PCjr setback, Ulwick moved from engineering to product planning at IBM. ” This question led to valuable insights.
He is known for his “extreme dogfooding” ethos—personally completing almost a thousand Uber driving and delivery trips to sharpen his product insight and user empathy—and his “ship, ship, ship” mantra, which drives rapid iteration across Uber’s global teams.
At OpenAI, she established marketing foundations for ChatGPT for consumers and enterprises, as well as their developer API platform. An engineer turned marketer, Krithika brings a uniquely analytical approach to marketing. While at Stripe, she spent over eight years building and scaling their marketing function from scratch.
He spent the first half of his 25-year engineering career in the semiconductor industry as a chip designer and the latter half in software product development. A friend was working on using large AI language models to help analyze data and produce some metrics about the data. Engineers usually strive for perfection.
And finally, Tali was so convinced of the power of opportunity solution trees that she started leading workshops at product events to teach others how to use this tool. I myself am a visual thinker, and a big believer in external representations as a tool to create common ground (as Barbara Tversky is quoted in Teresa’s book).”
From staying on top of market trends, user needs, customer feedback , and industry insights to managing their resources, and planning what’s ahead for their product. With the release of ChatGPT, it seems like a digital assistant has arrived. ChatGPT on the other hand is easy to access, use and train for anyone.
AI tools for content creation, powered by advanced machine learning algorithms, analyze extensive datasets to discern patterns and trends. This analytical capability not only enhances the precision of content creators but also streamlines workflows. In doing so, the effectiveness and reach of the content are heightened.
I had a lot of fun during this open and candid discussion and I thought Product Talk readers might want to check it out, especially if you’re in a leadership role and you have a product team or teams reporting to you. Arne Kittler provided a warm welcome to the Fireside Chat portion of the Leadership Forum at Product at Heart.
Picture this: A room full of product leaders huddled around market data like detectives at a crime scene, learning to spot the subtle clues that spell opportunity. Just as a master chef knows instinctively when a dish needs a pinch of salt, great product leaders cultivate an intuition that bridges data and action. The secret?
This guide covers everything you need to know about outsourced software product development services , from core definitions and benefits to a stepbystep process, pros and cons, realworld case studies, and future trends. This lean approach allowed the founding team to validate the market before investing in a full inhouse team.
Don’t miss Lennybot (an AI chatbot trained on my newsletter posts, podcast interviews, and more), my PM recruiting service (helping you hire Sr. It’s become clear to me that everyone should be playing with GPTs (custom versions of ChatGTP) right now. Prominent engineers are worried. What are GPTs?
Subscribe now P.S. Check out my PM recruiting service (helping you hire Sr. Taking gigabytes of data, analyzing it, and giving succinct and (increasingly) insightful answers. That sounds a lot like a tool that would be incredibly good at identifying a clever strategy. Think about it—what is AI best at? People stuff!
Within the product world at large and the Continuous Discovery Habits community specifically, we’re seeing increasing interest in personal knowledge management, both in terms of the processes and tools people are using to support them on this journey. Find all of the posts in this series here.
OpenAI’s ChatGPT has opened the public’s imagination on what kind of problem-solving AI can do, while OpenAI’s APIs have given app developers the ability to build on top of their state-of-art models. And best yet, I don’t need to come prepared with a vast data library. So now you are building some unique IP on top of data that you own.
The reason was simple: creating visuals was the only easily understandable skill I had that no one else knew how to do, and it was acknowledged. White hat designers In Part 1 of this story, we explored how a lone in-house design generalist can free up time and resources by offloading routine UI maintenance tasks to web engineers.
Before OpenAI, Logan was a machine-learning engineer at Apple and advised NASA on open source policy. To get better answers from ChatGPT, be specific and give more context to your questions. GPTs unlock the potential for an “agent future,” where we assign complex tasks to AI tools.
Or noticed how the same conversation can lead to new insights or annoyance depending on how a question is phrased? Because while AI is busy handling the predictable, our very human superpowers (e.g. When machines handle the predictable, we can focus on what matters. That's the magic of being thoughtful. Why does this matter now?
Plenty of AI copywriting tools are in the market (and by the time I finish writing this article, there will probably be more) and each of them could be a good choice depending on your needs or budget. Jasper AI offers a wide selection of templates and tools for various writing tasks. There’s no simple answer to this question.
Don’t put this guy in charge Years ago, a book called The Inmates are Running the Asylum described how engineers get in the way of good design. Questions 1 and 2 add “at any price” to account for: Optimistic assessments by your engineers. It comes with a few helpful rules for the latter. Just remember who signs your paycheck.
The framework is based on his experience advising dozens of consumer subscription businesses, as well as his analysis of over 30,000 consumer subscription apps (based on proprietary data provided by RevenueCat ) and interviews with leaders at dozens of top consumer subscription companies. Public company market caps are from 8/30/24.
For most people, that door opened in late 2022 when ChatGPT was released to the public. Aberdeen Strategy & Research reports nearly 80% of companies are turning to AI for their data-driven business activities, specifically customer interactions. It relies on manual setup and explicit knowledge about what’s in the data.
Brought to you by: • Explo —Embed customer-facing analytics in your product • Sprig —Build products for people, not data points • Sidebar —Accelerate your career by surrounding yourself with extraordinary peers — Tamar Yehoshua is the president of product and technology at Glean.
And, while an iframe over ChatGPT is better than nothing, these basic solutions lack the data privacy and analytics power of a robust AI engine that crunches real customer data. It’s your CSM’s co-pilot, your dataanalytics superhero, and so much more. Enter Horizon AI. What’s Horizon AI?
Roughly half are PMs, but over a quarter are founders, and the rest (and the segment growing fastest) are a mix of adjacent functions: engineers, designers, growth/marketing, data, UXR, etc. Other: I also have an EA and an engineer who help across all of the areas above. It’s very special. Go read it. So work unfairly.
This is your one chance to get real-world insights from your target customers regarding your product/feature. Get user insights through feedback surveys. You can create focus groups from your customer base and get their insights on your creative materials – texts, images, videos, landing pages, etc.
These forums serve as a direct line of communication with our users, providing insights into their needs and concerns. GitHub Copilot : This tool assists in development, making the coding process smoother and more efficient. Implementing analytics to track community engagement trends.
It’s agonizing over moving targets, considering new data, and even changing your mind on what you think is good. Today, AI tools have become a powerful aid in helping technical and non-technical builders with those aforementioned tasks of coding, illustrating, writing copy, and the like. Building is decision-making. And they will be.
In December, our Director of Machine Learning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. Here are some of the key takeaways: The ability of ChatGPT models to process natural language in multi-sentence conversations continues to improve and unlock new possibilities.
Part 1: The need for Reevaluation If you have worked on the GenAI products/ features before or are just starting, you might find adopting a reverse engineering approach beneficial. Once confident in the data output, efforts can shift to scaling the solution and extending it to more use cases within the identified core domain.
Plain describes itself as ‘CS without the BS’ and is positioning itself as a modern customer servicetool to support modern product development teams. The company raised $6 million in seed funding last year and is hoping to become part of the modern product team’s tool stack.
Brandon Shalton, a technologist with decades of experience applying technology to solve human problems talks about AI integration as a tool to help in scaling healthcare delivery, thinking different for fostering innovation and what it takes for being a successful healthcare CTO. Connect with Brandon on LinkedIn here.
Hosted by an ensemble of AI-generated voices, the show delves deeply into a new topic each week, offering listeners an insightful and innovative experience. It offers insights for both AI novices and enthusiasts. It is a valuable resource for ML/AI researchers, data scientists, engineers, and tech-savvy business and IT leaders.
Stories range from “20 ways you can use ChatGPT to make your work easier” to “here’s how AI will end civilization as we know it.” Where did your training data come from.) We’re at the top of the AI/LMM/Chatbot hype cycle. Every biz publication is deliriously covering this.
By Jake Ellis, Principal Product Evangelist, Gainsight From Alexa to ChatGPT, artificial intelligence (AI) has recently become a household name. According to Gainsight CCO Kellie Capote , Customer Success teams can grow and forecast NRR through customer health data. That’s where artificial intelligence enters the chat.
With the constant influx of data, manually analyzing and categorizing user feedback can be time-consuming and labor-intensive. Artificial Intelligence (AI) has emerged as a powerful tool to streamline many steps in this process, offering several benefits to product managers, customer success teams, engineers and marketing teams, and users.
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