This is what separates teams that accelerate with AI from those that get stuck. You don't find perfect data lying around. You create it using the deep product intuition you already have. /end Check out the whole episode with @vlaurenlee here:
Aishwarya Reganti and Kiriti Badam introduce the Continuous Calibration/Continuous Development (CC/CD) framework for building AI products. They argue AI systems are non-deterministic and require negotiating a tradeoff…
“Listen to this episode on: Spotify | Apple Podcasts What do you do when off-the-shelf moderation scores aren't good enough—and the alternative is paying human contractors to spend their days reviewing traumatizing content at scale? In this episode of Just Now Possible, Teresa Torres talks with Nikki”
Teresa Torres argues that many product teams believe they already practice discovery, but they run interviews, usability tests, and A/B tests too infrequently and mostly to validate decisions already made. She defines…
Kyle Poyar argues that product-led growth (PLG) only works economically if customer acquisition cost stays near zero, roughly under $1 per unique website visitor. Using OpenView benchmark funnel math, he shows that a…
This podcast episode follows Perk, a company that eliminates 'shadow work' like travel booking, as its team built a voice AI agent that calls hotels to verify virtual credit card payments. The project grew from a…
Teresa Torres argues that product teams routinely build on untested assumptions, treating hopes as facts, and that this risks building something nobody wants. Using an imagined Caltrain commuter app, she shows how to…
This Product Talk edition profiles how the Collaboration Group at 99designs, a two-sided design marketplace owned by Vistaprint, is building a continuous discovery practice. Senior PM Matt Richmond and his team treated…
They're taking everything they know about commerce, customer behavior, and product strategy, and using that knowledge to systematically generate the training data they need. It transforms the data bottleneck from a passive waiting game into an active engineering challenge. /3
This Product in Practice case study follows Kranthi Kiran, founder of ThoughtFlow, a collaboration tool combining visual mind mapping with data modeling. It opens by framing the risk founders face when they start from…
This podcast episode features three leaders from Neople, a company building 'digital coworkers' that automate work such as customer support, invoice processing, and drafting emails. The conversation traces how Neople…
Teresa Torres recounts a 90-day, self-directed journey building her first AI product, an Interview Coach that gives feedback on customer interviews, which she built while recovering from a broken ankle. She argues that…
Teresa Torres describes a three-week investigation prompted by a beta customer's complaint that an AI-generated opportunity solution tree had too many flat, unstructured opportunities under one parent. She built…
Teresa Torres argues that product teams should regularly test the underlying assumptions behind their ideas rather than whole solutions, so they can compare options quickly and drop weak ones early. She explains that an…
Teresa Torres announces a second run of the Continuous Discovery Habits (CDH) Benchmark Survey, aimed at measuring how many product teams have adopted a continuous cadence to discovery work. She argues that the…
A guest-written post in which an SEO leader lays out a strategy for an early-stage company to compete with entrenched incumbents: build many valuable, templated pages targeting long-tail keywords, using proprietary…
This post is mostly a promotional announcement for a part-time PM course aimed at early-career product managers, with a reader Q&A in the middle. The core advice in the Q&A explains how to move from a generalist PM role…
Teresa Torres shares the personal productivity, reading, product-building, and collaboration tools she relies on as a product manager, startup builder, and graduate student. She opens with a caveat that she once…
Teresa Torres argues that product teams often misuse customer interviews by spending time evaluating solution ideas, which yields unreliable feedback because people overestimate their future behavior. Interviews are…
Marty Cagan, who popularized the term product discovery, clarifies a common confusion: learning is valuable, but the real goal of discovery is to gain insights, which are learnings a team can act on. He explains that…