- wöchentlichErscheinungsrhythmus
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- gesternletzte Folge
All Things Product with Teresa and Petra – Unfiltered, insightful, and straight to the point.
Join Teresa Torres and Petra Wille as they dive into the world of product management—one topic at a time. No long interviews, no fluff—just real conversations about the challenges, trends, and ideas shaping the way we build products.
Each week, we tackle a different topic in short, digestible episodes (15-30 minutes)—perfect for your morning commute or coffee break.
🎯 What to expect:
🔹 Curated randomness: We take turns picking topics, bringing fresh perspectives to each discussion.
🔹 Unscripted, authentic conversations: Personal experiences, opinions, and practical advice—without the corporate polish.
🔹 For product people, by product people: Whether you're a product manager or product leader, you’ll find insights you can actually use.
Expect deep dives into product thinking, decision-making, leadership, experimentation, AI, and more—plus the occasional spicy take.
💡 Got a topic you’d love us to cover? Send it our way!
🎧 Listen to All Things Product on your favorite podcast platform and join the conversation.
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What AI Changes
Key Takeaways • AI rarely creates new problems — it exposes the ones a team already had, like no automated testing or no clear process. • Frameworks like Scrum may fade, but the work they stand for — planning, aligning, reviewing, measuring
Defining What Good Looks Like
Key Takeaways • Defining "what good looks like" isn't new — AI evals are just the latest place that old work shows up. • Don't stop at technical performance. An eval suite should measure technology performance, customer value, and business
Mind-Bending Experiences
Key Takeaways • The experiences that shake us most are often raw, human stories about people finding what's meaningful to them — not polished tales of achievement. • "Mind-bending" experiences work like art: you come back enriched even when
Training Expectations
Key Takeaways • Continuous discovery isn't one skill you pick up in a workshop — it's many skills, habits, and mindsets built through repeated practice. • The core mismatch: people request a service (a talk) expecting a benefit (a capable t
Recorded Conversations
Key Takeaways • Your memory is not a recording — Teresa's transcripts repeatedly showed her that her confident recollections didn't match what was actually said. • Use it on yourself first. Checking your own transcripts to spot blind spots
Unpacking Innovation
In this episode • The problem with "innovation" as a target. Teresa explains why the word bothers her: when teams optimize for novel ways to serve customers, they often land on complex solutions that aren't the best ones. Petra reframes inn
Trash Can Tracking
Key takeaways • Trash can tracking means placing trash can symbols along your discovery and delivery boards so that discarded work is tracked as deliberately as delivered work. • It helps answer two questions leaders and teams ask often: "A
Delivery Isn't Free
Show Notes • Petra Wille and Teresa Torres take on the popular claim that AI has made software delivery essentially free — and explain why that framing falls apart the moment you care about shipping something real. • Why "building a single
Facilitation Skills
Key takeaways • Retrospectives still work. Agile may feel unfashionable, but the practice of pausing to ask "how are we working together?" is one of the most valuable things a team can protect time for. • Facilitation is a skill, not a pers
Quality Of Evidence
What We Cover in This Episode • Why product teams are drowning in data — but still making uninformed decisions • The danger of projecting your own expertise onto low-quality signals • Teresa's "ladder of evidence" framework: as effort goes
Stepping Into Leadership
What You'll Learn • Why understanding your organization's definition of leadership is the essential first step — and how to find it even when it's not documented • How practicing "saying no well" builds a core leadership muscle that transla
AI-Shaped Problems
What you'll hear: • The daily habit Teresa used to go from feeling behind to using AI confidently every day • Why starting with terrible results is actually the point • How to filter out the noise (MCP servers, plugins, new apps) and stay f
Creating Experiences
Topics covered: • How Petra and Arne designed the Product at Heart Leadership Event across one and a half days, including a farm excursion, and a leadership improv workshop • Why you can't curate an experience that makes everyone happy — an
Organizational Change Is Exhausting
What We Cover • Why individuals can't change their organizations Teresa shares a real email from a designer who wanted help training her PMs — and why she had to say no. Without executive sponsorship, organizational pain, and urgency, nothi
Learning Together
Three Models of Team Learning • Train everyone at once — builds shared language, but not everyone is ready at the same time • Self-directed learning — works for highly motivated individuals, but lacks accountability • Small-group learning —
Procurement
Topics Covered: • Why Teresa is (half-jokingly) threatening to retire • The stark contrast between vendor-friendly companies and bureaucratic nightmares — and why company size isn't the deciding factor • The hidden cost of procurement theat
Is Technology Good?
Key Takeaways • The honest self-reckoning: Both Petra and Teresa reflect on having been active contributors to technologies — social media, the internet, AI — that have had real negative consequences, even when built with good intentions. •
AI Engineering
Topics Covered • Teresa's accidental path into AI engineering • Her partnership with Vistaly • Building "Teresa Bot" • How she learned — and how you can too • Discovery skills transfer directly to AI engineering • On her engineering backgro
Product Builder Myth
Show Notes: • Why "should product managers code?" is the wrong question • Is it fun for you? Do you have enough experience to do it well? Two better questions to start with • What a well-set-up org looks like vs. one that's headed for chaos
Taste
Show Notes • What Is "Taste" — and Why Is Everyone Suddenly Talking About It? • The Problem with Defining Taste • Taste vs. Preference • Will AI Eat Taste Too? So What Should You Actually Invest In? • Discovery skills — understanding custom
Command And Control
Key topics: • Why companies revert to command-and-control in uncertain times • The myth that one leader can hold all the context • What strong leadership actually looks like in product teams • How trust and autonomy coexist—even in hierarch
Predicting The Future
Key Takeaways • Confident predictions are often wrong • Early adopters don’t represent everyone • Treat predictions as one possible future • Scenario planning > trying to be right • Focus on patterns, not hype Timestamps • 00:00 – The probl
Product Work Is Relationship Work
In this episode, we cover: • Why product management is fundamentally relationship work • The difference between transactional vs. relational collaboration • How stakeholder alignment breaks down (and how to fix it) • Why curiosity is a crit
FOMO
Key Topics • Why AI innovation can create a constant sense of FOMO • How to decide which tools are actually worth exploring • Starting with friction or problems instead of solutions • Why experimenting with fewer tools can lead to deeper le
Product Builders
What We Cover • Why product management isn’t dying—but changing • The rise of the “product builder” foundation • The 80/20 shift: AI handles patterns, humans handle hard problems • Why functional expertise still matters • The risk of ignori
Bad Advice
In This Episode • The problem with AI bots built from public transcripts • Why “it’s not me” matters when AI gives bad advice • The difference between average AI outputs and expert thinking • Open-sourcing transcripts and who owns the IP •
Staying Sane
What we cover: • Why the world can feel overwhelming—and why that feeling makes sense • “Create the world you want to live in” through small, consistent actions • Values-based decisions in professional life (speaking gigs, sustainability, r
Kill Your Darlings
What this episode covers: • Why some traction can be more dangerous than no traction at all • The difference between early fans and real product–market fit • How “stable but not growing” products quietly drain discovery capacity • Why killi
Lost in the Woods
What we cover: • Settle in place (freeze): When doing less is smarter—especially if the team lacks context/authority and needs to raise the alarm instead of improvising fixes. • Chase shortcuts: Shortcuts can be smart… or overconfidence. Th
Boundaries Between Product & Engineering
In this episode, you’ll hear: • Why product managers shouldn’t own bug tracking, tech debt, or architecture decisions • How blurred boundaries between product and engineering lead to burnout and quality issues • The difference between being
