All Things Product with Teresa and Petra

You've got twelve people and one hour booked at next week's offsite. Can someone teach your team to do continuous discovery in that hour? Teresa Torres's answer is a flat no — and this episode is about why.

Petra Wille and Teresa Torres unpack one of the most common requests they get during offsite-and-strategy season: "Can you teach my team continuous discovery in a single session?" Petra often gets requests like this: "We want our product people to take more ownership. Could you do a keynote at our all-hands that gets that going?" The problem, they argue, is a mismatch — people ask for a service (a talk, a workshop) expecting a benefit (a capable, habit-driven team) that the service simply can't deliver. They separate know-how from skill, explain why real capability is built in a "gym" of repeated practice rather than a one-hour download, and get honest about what a talk, a four-hour workshop, and a full coaching program can each realistically achieve.

If you're the one buying — or delivering — team training, this is a practical guide to calibrating expectations before anyone books the room.

We now record almost everything — every meeting has an AI note-taker, and some people wear glasses that capture every word. So what does that do to our relationships when nothing is forgotten and everything can be fact-checked?

Petra Wille and Teresa Torres explore the promise and the unease of a fully-transcribed world. Teresa shares how checking her own Granola transcripts revealed she'd been misremembering conversations — and getting frustrated with people over things she never actually said. Petra describes the strange feeling of a colleague pulling up a transcript to correct her recollection of her own past opinion. Together they get to the bigger question: should we hold people accountable to what they said weeks ago, or grant each other permission to evolve?

Is innovation the goal — or just a byproduct of solving customer problems well? In this episode of All Things Product, Petra Wille and Teresa Torres unpack one of the most misused words in product: "innovation." Teresa makes the case that chasing novelty for its own sake pushes teams toward complex solutions that don't actually serve customers better, while Petra argues that simplicity and reduction can be their own kind of innovation.

Using the surprisingly rich history of the humble login — from passwords to single sign-on to Slack's magic links, 1Password, and passkeys — they explore why yesterday's breakthrough becomes today's friction, why novelty carries a hidden cognitive cost for users, and where the best innovation actually comes from (hint: it's often a cross-functional "just now possible" moment).

A must-listen for product managers who want to differentiate without over-engineering — and who'd rather be great at solving customer problems than "innovative" for its own sake.

What if the ideas you throw away tell you more about the health of your product process than the ones you ship?

In this episode of All Things Product, Petra Wille introduces trash can tracking — a deceptively simple technique for making discovery work visible. By adding trash can symbols across your discovery and delivery boards, teams can see (and celebrate) the customer problems and solutions they deliberately choose not to pursue.

Petra and Teresa dig into what an empty problem-space trash can versus an empty solution-space trash can each signals about your team's innovation, strategy, and discovery culture. Along the way they wrestle with the "golden trash can," the hidden cost of solving every customer problem that lands on your plate, and how psychological safety shapes which problems ever surface in the first place.

Whether your trash cans are overflowing or suspiciously empty, this conversation will change how you think about the work you decide to walk away from.

Everyone's saying it: "Now that AI makes delivery free…" But is it? In this episode of All Things Product, Petra Wille and Teresa Torres pull apart one of the most repeated claims in product right now.

They dig into why building a single feature has gotten dramatically cheaper — while building a real, production-quality product has not. Teresa breaks down what happens when teams treat coding agents as "free": spaghetti code, Frankenstein data models, feature bloat, and the maintenance nightmare waiting three weeks down the road. Along the way, they unpack the crucial difference between build to learn and build to earn, why the last 30% of a product is where the real work lives, and why AI products (not just AI-assisted code) are far harder to ship than the demos make them look.

If you've been tempted by the "delivery is free, taste/discovery is all that matters" narrative, this conversation is your reality check. Delivery got cheaper. It did not get free — and it never will.