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Teresa Torres
Product Discovery Coach and Educator
Teresa Torres is a prominent Product Discovery Coach at Product Talk, where she specializes in helping product teams implement continuous discovery practices. With a career spanning over a decade in this role, she emphasizes the importance of customer interviews, rapid prototyping, and assumption testing to improve product decision-making. Her approach is structured and sustainable, aiming to connect research insights directly with product outcomes.13
Background and Experience
- Education: Teresa holds a Bachelor of Science in Symbolic Systems from Stanford University and a Master of Science in Learning and Organizational Change from Northwestern University.23
- Professional Roles:
- Product Discovery Coach at Product Talk since October 2011.
- Former Vice President of Products at AfterCollege, where she focused on enhancing user engagement and product strategy.
- CEO of Affinity Circles, which operated exclusive social networks for alumni associations and was later acquired by Mingle LLC.23
Contributions and Impact
Teresa is also an internationally acclaimed author, known for her book Continuous Discovery Habits, which has sold over 100,000 copies. She provides valuable insights through her writing and speaking engagements, advocating for a mindset shift in product development that prioritizes customer feedback and iterative learning.14
Notable Clients
Her coaching has benefited numerous organizations, including major companies like Allstate, CarMax, CapitalOne, Snagajob, and Spotify.23
Teresa Torres continues to influence the field of product management through her practical frameworks and coaching methodologies, making her a key figure in the domain of product discovery.
Highlights
What if your small business could have a full marketing team—automated content calendars, customer segmentation, and channel-specific posts—without the headcount?
In this episode of Just Now Possible, Teresa Torres talks with Chris O'Connor (CEO) and Jessica Valenzuela (Co-Founder) of Mowie, an AI marketing platform built for small and medium-sized businesses in restaurants, retail, and e-commerce. Chris and Jessica share how their hands-on experience managing marketing for overwhelmed business owners at a previous company led them to build Mowie—first as a concierge service, then as a fully automated AI product.
They walk through their document hierarchy approach: how Mowie crawls the web to build a "dossier" about each business, infers customer segments and marketing pillars, and generates quarterly content calendars with channel-specific posts. You'll hear about the technical challenges of structuring unstructured data, the evolution from rigid schemas to loosely structured markdown, and how they use customer feedback—from calendar approvals to regeneration requests—as their primary evaluation signal.
Whether you're building AI products that synthesize messy real-world data or figuring out how to keep humans in the loop without overwhelming them, this conversation offers practical lessons from two founders who built their product by doing the work first.
Show Notes Guests Chris O'Connor – CEO, Mowie Jessica Valenzuela – Co-Founder, Mowie
What we cover in this episode
- How Mowie evolved from a concierge marketing service to an AI-powered platform The "document hierarchy" architecture: how Mowie builds and maintains context about each business
- Why they moved from structured schemas to loosely structured markdown for intermediate processing
- Using Simon Sinek's Golden Circle framework to validate early product-market fit
- How Mowie generates quarterly content calendars and weekly posts across email and social media
- The three mini-calendars: public events, business-specific events, and recommended campaigns
- Building traceability so customers can see which context documents influenced their content
- Using customer approvals, edits, and regeneration requests as lightweight evals
- Connecting marketing performance back to point-of-sale data for attribution
- What's next: deeper attribution, omnichannel expansion, and digital out-of-home displays
Resources & Links Mowie AI — AI marketing platform for SMBs Simon Sinek's Golden Circle — The framework Mowie used for early validation
Chapters 00:00 Introduction to Mowie AI 00:06 Meet the Founders: Chris and Jessica 00:45 Understanding the Target Customers 01:35 Challenges Faced by SMBs in Marketing 04:20 The Evolution of Mowie AI 05:40 How Mowie AI Works for Businesses 08:16 Onboarding and Data Collection 14:56 Content Strategy and Calendar Creation 22:29 Technical Challenges and Solutions 29:41 Iterative Development and Feedback 37:23 Automated Content Calendar Approval 39:19 Content Calendar Creation Process 40:14 Marketing Pillars and Campaigns 42:11 Transparency and Traceability in Recommendations 45:23 Generating Weekly and Quarterly Calendars 48:24 Customizing Campaigns for Specific Events 54:15 Evaluating Campaign Performance 58:48 Customer Feedback and Document Hierarchy
Listen on Spotify, Apple Podcasts, or watch on YouTube. Links are in the replies.
Perk's classification system started extremely strict. A success required the hotel to say exactly "I am going to charge the card for you now." Anything else? Failure.
The problem: humans don't talk like that. "Yeah, I'm on that for you" means yes. "We'll charge it tomorrow" means they'll charge at check-in. But the AI couldn't connect "tomorrow" to "check-in"—so it marked real successes as failures.
Teaching AI to understand natural language meant loosening the rules without losing accuracy.
👉 Find a link to the full episode in the replies.
