Best Tools for Completing Software Features

When I started in #product 15 years ago, everyone used Jira, Confluence, Balsamiq, and later Airtable + Figma. With GenAI, the landscape has evolved, and here is a list of tools I expect every PM to use to stay ahead. ✨ Strategy & Competitor Analysis ✨ I think #Notion did a great job upgrading their capabilities and integrating OpenAI and Anthropic models (not sure what #Coda is doing?), which support drafting and refining strategies using internal (Slack messages, docs) and external data (investor presentations, etc.). I have personally used #Competely, which provides a massive head start and notifies you when competitors release new features and their potential impact on your strategy. 🔎 Customer Research & Discovery 🔎 Platforms such as #Kraftful automate feedback aggregation from various sources. Pushing it further, #Genway creates agents that automatically conduct your interviews, and #NextMinder can simulate research based on provided customer segment details and behavior, allowing you to simulate millions, not just dozens, of users. 🚀 Rapid Prototyping 🚀 Much has been said here, and tools like #Loveable are growing at a rapid pace. However, I’m personally more of a fan of the #Uizard toolkit, which lets you upload screenshots and whiteboard drafts and turn them into mobile and desktop designs automatically (and can also generate functional code). ✏️ Requirements & User Stories✏️ I think every PM has now used ChatGPT to generate requirements or user stories. I’ve personally found more success with #Claude, and investing in building your own GPT, populated with your strategy context, OKRs, and example PRDs and user stories, goes a long way. ✅ Testing & Validation ✅ I started product when we forced PMs to write Gherkin syntax into user stories. #QualGent and #Spur are two great examples on how Agents + MCP will change the way Product Managers will test software before it reaches users. 🤝 Collaboration & Documentation 🤝 I haven’t used them in action yet, but #Quantstruct and #Mem are notes on steroids: they automatically feed into a central knowledge base accessible by the team and help automate documentation. I’m eager to see how far we can push this in the context of technical/API/feature documentation and how we can remove outdated content from it. #GenAI #ProductManagement Shivani Rathi, Emily Gao, Shai Dinnar, Dimitrios Lippe, Bradley Antcliff, Frederic Doppstadt

Want to turn a fuzzy idea into a prototype you can present, test, and even pitch to investors? There’s no one-size-fits-all tool for prototyping—especially for startup founders and designers trying to move fast. But choosing the right tools early can make all the difference. Here are some advanced prototyping tools that can help you go from idea to functional MVP: ✅ Play — Best for iOS app design and prototyping. Play lets you design and ship apps, and even build AI-enabled experiences and prototype with real data. ✅ ProtoPie — Create high-fidelity, interactive prototypes for mobile, web, wearables, and even automotive UIs. Great for user testing complex flows. ✅ Lovable & Bolt — These AI-powered tools help you build functional MVPs without writing much code. With a bit of prompt engineering, sound understanding of code and product thinking, you can quickly generate usable app prototypes. ✅ Bravo Studio — You can make fully functional native apps for iOS & Android ✅ Framer — Perfect for building beautiful, functional websites with speed. Their recent AI update makes launching a site for your product faster than ever. Relume is also worth checking out. ✅ Figma— Figma’s native prototyping continues to improve, and the upcoming features like Figma make look promising. It’s still one of the fastest ways to mock up and share a product idea. At the early stages, you don’t need a fully built product. Prototyping tools let you test assumptions, gather user feedback, and pitch to investors—without burning six figures on development. Got a favorite prototyping tool I didn’t mention? Drop it in the comments 👇

I've built 20+ software projects using AI this quarter. The secret? Knowing the right tool for the job. ChatGPT and Claude are 2 tools I've been testing extensively. Most people think they're interchangeable. They're not. Not even close. Let me break down where each one shines (from someone who's used them in the trenches), starting with Claude: Think about your best senior hire. The one who absorbed your entire business context in record time. That's Claude. I'm talking code, documentation, strategy docs, legal agreements—everything gets loaded into its brain. But the killer features are Claude’s Projects and content retention: ➝ Other AIs forget everything between chats ➝ Claude keeps building on its knowledge of your business. Want to onboard new clients to complex software? Need to train internal teams? Every response builds on your company's specific context. Last week I dumped 3 complex strategy docs into a Claude project. Not only did it understand each one, within minutes, but it spotted critical conflicts our entire team had missed for weeks. Now, ChatGPT is a different beast entirely. Where Claude masters context, ChatGPT (especially o1) executes with scary precision. Sure, the 4o model lets you upload docs for one-off questions. But o1 changes how you handle technical challenges. ➝ Linux debugging at 2 AM?  ➝ Complex program features? ChatGPT handles it faster and clearer than any documentation. My workflow now? 1. Use Claude to build the strategic foundation 2. Let ChatGPT execute on the details 3. Have Claude review the big picture 4. Let o1 critique and optimize Stop trying to pick one tool. Use both for what they do best.