Product Impact Podcast | Master AI UX KPIs

We have benchmarks for model performance, metrics for productivity, and KPIs for everything the economy can quantify. But the impact of AI on how we think, who we become, and what we lose in the process? Nobody's measuring that — because nobody knows how.
Helen and Dave Edwards have spent a decade studying what AI does TO humans, not just what it can do for us. In this episode, they challenge the binary of AI hype vs. AI fear and lay out a framework for something far more important: cognitive sovereignty — our ability to remain the authors of our own thinking in an era of automated cognition.

In this episode of the Product Impact Podcast:
Why the AI industry's business model is capital replacing labor — and why that's a path to economic collapse, not growth
The concept of cognitive sovereignty and why preserving your ability to think independently is the real competitive advantage
Research showing AI is increasing scientific citations but decreasing exploration — pulling everyone toward the median
Why the one-person billion-dollar company is a fantasy that breaks down the moment you do the math
The products getting it right: Bass (trust-first healthcare AI), Latimer (data sources that don't exist anywhere else), and creative tools treating AI as collaborator, not replacement

"If AI can replace the humans in your business, does your business have any value at all?" — Dave Edwards
"There is no point having this technology if it makes us dumber, if it makes us less kind, if it makes us more lonely, if it makes us less able to show up for others." — Helen Edwards

Helen and Dave Edwards are researchers and founders of the Artificiality Institute, where they lead a transdisciplinary community of scientists, designers, philosophers, and artists exploring what it means to be human in the age of AI. They are currently publishing Stay Human — a chapter-by-chapter book on how AI changes our thinking, identity, and relationships.
Guest resources:
Artificiality Institute — https://artificiality-institute.org
Stay Human (free, published weekly) — https://journal.artificiality-institute.org
LinkedIn: Helen Edwards (https://www.linkedin.com/in/helenedwards/) | Dave Edwards (https://www.linkedin.com/in/daveedwards/)

Artificiality Summit 2026 — Oct 22-24, Bend, Oregon. A human gathering to figure out what it means to be human. Learn more at artificiality-institute.org

productimpactpod.com
Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact.
Hosted by:
Arpy Dragffy Guerrero — https://www.linkedin.com/in/adragffy/
Brittany Hobbs — https://www.linkedin.com/in/brittanyhobbs/
Go to Substack to get AI strategy frameworks, news, and jobs: https://productimpactpod.substack.com

This episode was brought to you by: PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products. AI Value Acceleration
(https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stall

AI went from chatbots to assistants to agents in three years — and each era moved the failure one layer deeper. First we got wrong answers, then wrong context, now wrong actions. The tools are moving at an extraordinary pace, and almost nobody is keeping up.

In this episode of the Product Impact Podcast we tackle The Agents Era Will Change How We Work:

* Why vibe coding was the proof of concept for the entire agent era
* Agents aren't automating tasks — they're automating your thinking
* Why you'll be using a dozen agents within a year, not because you chose to, but because the work will demand it
* The better you understand how you think, the more you'll succeed with agents
* How we need to retrain ourselves — because decades of linear, process-driven work haven't prepared us for this
* The startups most people haven't heard of that are already replacing how entire functions operate

https://productimpactpod.com
Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact.

Hosted by:
* Arpy Dragffy Guerrero —https://www.linkedin.com/in/adragffy/
* Brittany Hobbs — https://www.linkedin.com/in/brittanyhobbs/

Go to Substack to get AI strategy frameworks, news, and jobs:https://productimpactpod.substack.com

This episode was brought to you by:
PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products.
AI Value Acceleration (https://aivalueacceleration.com) — The consultancy specialising in enterprise value creation. Make sure that your spending doesn't go to waste. Find out exactly where the value creation of adopting AI products stalls.

Benchmark wars are over. Claude Code just proved it — the AI products winning right now aren't the ones with the best models, they're the ones that know their customers best. Context is the new moat.

Juan Sequeda has spent 20 years solving the problem most product teams don't even know they have: your AI is only as powerful as your business's ability to predict what a customer wants to do and why. That intelligence isn't in the model — it's buried in your data. And the secret to unlocking it isn't writing better skills files or crafting smarter prompts. It's re-architecting how your business knowledge is structured, connected, and made available to AI. Juan shows you exactly how.

Product teams who've made this move are seeing accuracy improvements of over 50%, and every new use case they ship compounds on the last. In this episode of the Product Impact Podcast, Juan introduces his three-layer knowledge framework — business metadata, technical metadata, and the mapping layer that connects them — and shows how this foundation transforms what your AI can deliver. You'll leave with a clear starting point, a way to tie your AI investment directly to business outcomes, and a mental model for how the best product teams are pulling ahead. This will only grow as we depend on agents and governance becomes more critical.

In this episode you'll learn:
➡️ Why context — not model quality — is now the primary driver of AI product performance
➡️ The three-layer knowledge framework that gives AI a shared language across your entire organization
➡️ Three concrete first steps to build your context foundation starting tomorrow
➡️ How to tie every AI initiative directly to your company's top OKRs and earn lasting executive buy-in
➡️ Why knowledge-first teams compound their advantage — each new use case gets faster and more powerful

Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact.

Go to productimpactpod.com to rate the impact of AI products you use at work.

Hosted by:
Arpy Dragffy Guerrero — ⁠https://www.linkedin.com/in/adragffy/⁠

Brittany Hobbs — ⁠https://www.linkedin.com/in/brittanyhobbs/⁠

Support the show: subscribe, share this episode with a product leader, and leave a rating/review—it’s how this podcast reaches the teams building what comes next.
Subscribe for frameworks + AI strategy resources: ⁠https://productimpactpod.substack.com⁠Brought to you by PH1 (⁠https://ph1.ca⁠) — an AI strategy consultancy specialized in improving the measurable success of AI products.

About our guest
Juan Sequeda is Principal Scientist and Head of the AI Lab at data.world, now part of ServiceNow. He has spent 20 years at the frontier of knowledge graphs, ontologies, and semantic architecture — focused on one question: how do you give AI a genuine understanding of your business so it can deliver answers you can actually trust?
His lab's research proved that pairing knowledge graphs with LLMs improves enterprise question-answering accuracy by over 50% — findings that helped define the industry's thinking on context and AI reliability. He co-founded Capsenta (acquired by data.world), coined the concept of "context wars," and recently published his landmark LinkedIn series: "20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs."
He also co-hosts Catalog & Cocktails, one of the most respected podcasts in the data community, and publishes regularly on LinkedIn and Substack.

Resources
➡️ Juan Sequeda on LinkedIn: https://www.linkedin.com/in/juansequeda
➡️ Catalog & Cocktails Podcast: https://data.world/podcasts/catalog-and-cocktails
➡️ Juan's Substack: https://juansequeda.substack.com
➡️ "20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs" — https://www.linkedin.com/posts/juansequeda_i-finished-posting-my-20-lessons-from-20-activity-7429147437681864704-C7ki/
➡️ Software Wasteland — Dave McComb
➡️ The Data-Centric Revolution — Dave McComb

AI is entering an abundance era: models get smarter, faster, and cheaper—so capability alone is no longer defensible. Feature cloning accelerates, pricing compresses, and many application-layer products get sampled and abandoned unless they prove measurable outcomes and earn long-term commitment.

In this episode of the Product Impact Podcast, we break down why defensibility now matters more than capability—and what to do about it. You’ll leave with five actions to take this quarter: run a silent failure audit, map peak cost exposure, stress-test defensibility, fix the missing middle in pricing for power users, and build outcome visibility directly into the product.

➡️ Dangerous economics of a capital-rich and value-poor market
➡️ Master the unit economics of power users
➡️ Proof that capability is no longer defensible
➡️ 5 steps to defend your product value

You’ll leave with five concrete actions to take this quarter because in a market where everyone has access to the same models, your moat is not capability. It’s customer success, trust, and measurable impact.

Links & resources
Read the strategy we reference: https://ph1.ca/blog/strategy-for-measuring-improving-ai-products

Take the AI Benchmarking Survey (measure your product’s impact): https://bullseyebenchmark.fillout.com/aiproducts

Thank you for listening to the Product Impact Podcast (formerly Design of AI) — Prove impact. Improve impact. Scale impact.
Hosted by:
Arpy Dragffy Guerrero — https://www.linkedin.com/in/adragffy/

Brittany Hobbs — https://www.linkedin.com/in/brittanyhobbs/

Support the show: subscribe, share this episode with a product leader, and leave a rating/review—it’s how this podcast reaches the teams building what comes next.
Subscribe for frameworks + AI strategy resources: https://productimpactpod.substack.com
Brought to you by PH1 (https://ph1.ca) — an AI strategy consultancy specialized in improving the measurable success of AI products.

How is it that Microsoft and OpenAI’s CEOs are telling us to panic because white collar jobs are going to be replaced by AI,

Then there’s endless evidence of the opposite: Most companies that implement AI see little gains, with execs from over 80% of companies reporting no productivity gains at all.

In this episode of the Product Impact Podcast we tackle Why Your AI Metrics Are Lying to You. We’ll provide you with a framework for improving AI product performance. We discuss how Evals can't answer the most important questions you have about your product's impact and the importance of calibrating your products for success by balancing key pillars.

In this episode you’ll learn:
- Agents hide friction from view, creating dangerous impact blindness
- Balance power, speed, impact & joy to win in the AI era, like F1 cars
- Success doesn’t equal satisfaction—you must measure both outcomes
- Measure outcomes and feelings, not just activity logs and checkmarks

Read the Strategy for Measuring & Improving AI Products we reference in the episode here: https://ph1.ca/blog/strategy-for-measuring-improving-ai-products

Thank you for listening to the Product Impact Podcast (Formerly Design of AI)
Prove impact. Improve impact. Scale impact.
Learn frameworks and strategies to ensure your product is delivering impact to users, teams, businesses, and communities. We investigate enterprise adoption and highlight builders/startups disrupting value creation.

Hosted by:
Arpy Dragffy Guerrero https://www.linkedin.com/in/adragffy/
Brittany Hobbs https://www.linkedin.com/in/brittanyhobbs/

Subscribe to https://productimpactpod.substack.com for AI Strategy resources

Brought to you by PH1 https://ph1.ca an AI strategy consultancy specialized in improving the success of your AI product.