Teresa Torres

As a product discovery coach, I help product teams make better decisions about what to build. I teach them how to:
- Identify clear business outcomes 
- Uncover unmet customer needs, pain points, and desires
- Discover the right solutions that deliver both business value and customer value

My book Continuous Discovery Habits has sold over 140,000 copies, we've taught over 18,000 students from 100+ countries through the Product Talk Academy, and reach 100,000s of product people through our free blog posts and social media content.

If you aren't satisfied with how your teams decide what to build, get in touch.

Product Discovery Coach

I help digital product teams adopt continuous product discovery practices including a regular cadence of customer interviews, rapid prototyping, and assumption testing. I emphasize strong critical thinking practices to ensure there is a strong connection between what the teams are learning in their research activities with the product decisions that they are making. 

Recent clients include: Allstate, CarMax, CapitalOne, Snagajob, Spotify, among others. 

"When I started using Claude Code, I thought I was just building personal productivity tools. I didn't realize I was also learning context engineering—the same skills that product teams use to build production AI products."

Ever wondered how your daily AI habits connect to building actual AI products? In this article, I break down how the context management skills you're already developing directly translate to production context engineering.

Learn how product teams are solving the same problems you face:

🔧 Breaking big tasks into smaller, focused prompts (just like keeping CLAUDE.md files compact)
💾 Building external memory systems to store context outside the window  
✂️ Curating what goes into each conversational turn to prevent bloat
🔄 Repeating critical information so it's fresh when decisions are made
🤖 Using multiple agents to multiply available context windows

The article shows real examples from companies like Incident.io, Rest, Trainline, and others who've learned these patterns through trial and error. "If you'd break it down for a human, break it down for the LLM" - solid advice that applies whether you're coding or building products.

Check out the article: https://buff.ly/J2jDPfK 

🤔 Which context management trick from your daily AI use do you think would be most valuable in a production AI product? Share your thoughts in the comments below.

Author, Speaker, Product Discovery Coach @ ProductTalk.org

Context Engineering: 5 Strategies for AI Product Success

🎙️Groupthink When Hiring

Is hiring broken—or just badly designed?

In this episode of All Things Product, Petra Wille and Teresa Torres unpack what’s really going wrong in modern hiring processes. From AI-fueled application overload to endless interview loops and “casual” team lunches that derail months of work, they explore how groupthink, bias, and poorly defined criteria are quietly sabotaging good hiring decisions.

They discuss why involving too many people with veto power often leads to no decision at all, how “culture fit” becomes a proxy for bias, and what product teams can learn from product discovery when designing hiring processes. Plus, they share practical advice for candidates navigating today’s brutal job market—and resources to help you avoid going it alone.

Whether you’re a product leader hiring your next PM or a product practitioner stuck in interview limbo, this episode offers clarity, empathy, and concrete ways forward.

Show Notes

What’s happening in the hiring market
🧊 Layoffs and hiring freezes are making the job market especially tough
🤖 Companies are overwhelmed by hundreds of applications, often amplified by AI tools
🌀 Hiring funnels are getting longer, with more interviews and more stakeholders involved

When “one last step” kills the offer
🍽️ Candidates pass every formal interview—only to be rejected after a casual team lunch
🧑‍🤝‍🧑 Teams often aren’t briefed on what they’re supposed to evaluate
🗣️ Groupthink kicks in when one negative comment cascades into a no-hire decision

Groupthink ≠ good hiring decisions
🚫 Letting everyone veto a candidate almost guarantees no one gets hired
🎯 Focus-group-style interviews create bias, not signal
🧬 “Culture fit” often masks stereotypes and personal preferences

A better way to design hiring
🧭 Define who you’re hiring before writing the job description
📏 Set clear success metrics for the role
🔖 Assign each interviewer specific criteria to evaluate
🧪 Treat hiring like product discovery: intentional, structured, and evidence-based

Chemistry checks done right
✅ It’s okay to assess collaboration—but only if you define what that actually means
🙅‍♀️ Introversion, debate style, or lunch-table behavior are not performance indicators
🌈 Diverse teams outperform homogenous ones—even if not everyone “vibes”

Advice for candidates
🫶 If a process feels broken, it’s often not about you
❓ You can ask how you’re being evaluated to gauge process maturity
🧩 Many companies simply haven’t figured hiring out yet

Links to Apple Podcasts, and YouTube:
📺Youtube: https://buff.ly/Ef8UgfA
🍎Apple Podcast: https://buff.ly/0XxHL1R

Give it a listen and share your thoughts in the comments below.💬👇

Nomad B2B

Founding Director - Product Marketing and Management Consultant

Oracle

Senior Product Marketing Leader - OCI Compute

APANA®

VP of Product and Customer Success

Pryon

Palo Alto Networks

Head of Global Customer Communities

F5 Networks

Senior Director, Global Digital Marketing

Senior Director, Product Management

Director, Product Management

Product Manager, APIs and Community

DataChannel

Senior Product Manager

Enterprise software product marketing and management leader who lives to build: products, teams, and companies; relationships, growth, and velocity. I am a dynamic, hands-on leader with 15+ years experience who collaborates across diverse functional teams to turn customer challenges into engaging technology products and gets them to market successfully. I love disrupting the status quo with inspired teams who believe they can change the world. 

Professional expertise includes:
• Product Marketing Strategy & Execution: Crisp, connected positioning and messaging that resonates, go-to-market strategy that drives growth, product launches that fuel awareness and adoption, sales enablement tools that mobilize revenue teams, content strategy and creation that drives action, and partner marketing orchestration that accelerates revenue leverage.
• Product Management Leadership: Customer-centric, data-driven B2B strategies for enterprise, cloud, AI, and Tech for Good SaaS products including product roadmaps, requirement definition, product portfolio performance tracking, and UX.
• Leadership and Cross-functional Collaboration: Exceptional leadership and development of globally distributed teams and thoughtful collaboration across engineering, product management, sales, and customer success to bridge technical and non-technical gaps to ensure alignment and success.
• Big Company Experience with Startup Mindset: Familiarity with both large, global organizations  and venture-backed startups affords me unique perspective and skills to ramp quickly, thrive in dynamic or ambiguous environments, and rapidly impact success.

Industry experience spans Enterprise Software, Public Cloud, SaaS, AI/ML, Cybersecurity, IoT, Green Tech, and Developer APIs and community programs.

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