AI Does 90% of My Work Now as a Product Leader | Yana Welinder (Kraftful)
Mar 2, 2025
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Yana Welinder, CEO of Kraftful, leads an AI-driven product that empowers over 50,000 teams to extract insights from user feedback. She discusses how AI tools, like ChatGPT and Operator, revolutionize product management by automating tasks and enhancing decision-making. Yana showcases a live demo of the Operator, simplifying workflows and requirement documentation. She shares thoughts on the challenges AI startups face and the evolving role of product managers in a tech-centric landscape, emphasizing the importance of adapting to these swift changes.
AI tools like Operator significantly streamline product development by automating feedback aggregation and organizing it into actionable project documentation.
The Deep Research functionality rapidly delivers competitive insights, enhancing product decision-making through efficient data collection and analysis.
Deep dives
The Ubiquity of AI in Daily Tasks
AI is instrumental in managing daily tasks, including social media posts, email communications, and customer call transcriptions. For example, all social media posts are initially drafted using AI tools, particularly ChatGPT, reflecting a reliance on AI for content creation. Customer calls are recorded and transcribed via Zoom, then synced with GraphQL for deeper analysis, showcasing a commitment to leveraging AI for efficiency. Even interactions in support channels, while less focused on AI, still integrate insights from these exchanges into later AI processes.
Utilizing AI Tools for Product Development
AI tools like Operator streamline product development workflows by automating tasks like feedback aggregation and project organization. The podcast highlights a practical demo where feedback for Slack notifications is compiled automatically, turning user insights into actionable project documentation such as PRDs and user stories. This integration illustrates how AI can facilitate communication between teams by organizing feedback into structured documents and assigning tasks to team members efficiently. Operator's ability to navigate and automate complex workflows underscores its value in improving productivity and reducing manual effort.
Market and User Research with Deep Research
Deep research functionality exemplifies how AI can expedite market analysis by generating competitive insights quickly. The host discusses an example where a query about finding a suitable API results in comprehensive information about various providers, including pricing and customer use cases. This feature not only saves time but also encourages thorough understanding by prompting further questions based on initial results. By enabling efficient data collection and analysis, Deep Research empowers product developers to make informed decisions faster than traditional research methods.
Craftful's Role in Product Management
Craftful's platform autonomously collects and analyzes user feedback from various sources, transforming this data into PRDs and user stories. This automation alleviates the tedious aspects of product management, allowing teams to devote more time to strategic decision-making. By continuously capturing insights from user interactions and feedback, Craftful ensures that valuable data is seamlessly integrated into the product development cycle. The approach prioritizes focusing on actionable insights rather than getting bogged down in data gathering, ultimately enhancing product strategy.
My guest today is Yana Welinder.Yana is the CEO of Kraftful, an AI product that helps 50,000 product teams extract insights from user reviews and surveys. She’s also a power user of ChatGPT and did a live demo of her top AI workflows for Deep Research and Operator.Timestamps:(00:00) At this point, I’m not doing anything without AI(01:38) Live demo of Operator automating product work(08:07) Using Deep Research for competitive analysis(11:05) Unlocking Deep Research to get medical advice(13:29) More everyday use cases for AI you might not know about(19:07) The key problem with AI startups(22:32) What should the PM actually do if AI will do everything?(25:36) The ups and downs of being an AI founder(29:02) How to balance prompting, RAG, fine-tuning, and evals(32:09) The right time horizon to plan for AIGet the takeaways: https://creatoreconomy.so/p/ai-does-my-work-now-as-a-product-leader-yanaWhere to find Yana:
X: https://x.com/yanatweets
Website: https://www.kraftful.com/📌 Subscribe to this channel – more interviews coming soon!
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