Evaluation & Benchmarking
15How to measure AI performance, evaluate models, and benchmark products
Evaluation & Benchmarking
Why your AI metrics are lying to you — and what to measure instead.
The Position
Most AI product metrics measure exposure, not integration. Login rates, feature adoption, session counts — all of them tell you whether people opened the tool. None of them tell you whether anything about how people work actually changed. That gap is where most "successful" AI rollouts quietly fail.
Key insights across episodes in this theme:
- Speed ≠ success. AI products that make people faster without making their work better are commoditizing the user, not improving it.
- Satisfaction ≠ impact. Users can love a product that doesn't deliver business value — especially if they're using it to do things they were already going to do.
- Measurement is the strategy. Teams that can't measure impact can't improve it and can't defend their budgets when the hype turns.
Articles
15
New Report Says You're Wasting More Time Botsitting Than Getting Value from AI
The AI Job Apocalypse Won't Happen. Here's What Will.
97% of Executives Deployed AI Agents. Only 29% See ROI. The Gap Is the Story of 2026.
20 AI Product Podcasts Worth Your Time If You're Scaling LLM Capabilities
Gartner Says 40% of Agentic AI Projects Will Fail. They're Underselling It.
Four Enterprise Agentic AI Failures Disclosed in Q1 as Gartner Warns 40% Cancellation Rate
Why AI Capability Is No Longer Defensible — and What Product Teams Should Build Instead
How to Measure AI Product Impact: The Bullseye Framework for Power, Speed, Impact, and Joy
The Playbook for AI Value Creation
Eight Frameworks for Measuring AI ROI — And How to Use Each One
WTF is an AI-native org anyways? Let's compare Airbnb & Meta's opposing plans.
Silicon Valley's AI Is Repeating the Social Media Mistake
Stanford's AI Index Proves the US Can't Buy Its Way to an AI Lead
What AI Does to Human Thinking: Cognitive Sovereignty, the Median Pull, and Why It Matters for Product Teams
Episodes: Evaluation & Benchmarking
208. The Most Important Data Points in AI Right Now
18:157: $490 Billion in AI Spend Is Delivering Nothing — Orchestration Is the Fix
29:216. Robert Brunner Was the Secret to Beats' & Apple's Success — Now He's Redefining AI for the Physical World
44:415. The Human Impact of AI We Need to Measure [Helen & Dave Edwards]
57:244. The AI Agent Era Will Change How We Work
46:563. Win The AI Context Wars — Unlock The Value of Data [Juan Sequeda ]
52:012. Five steps to defend your AI product value
34:301. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance
35:00Why Design of AI is becoming the Product Impact Podcast
16:0652. Clawd Bot & Moltbook: When Demos Hijack Reality [Jim Love]
43:0151. Agents Will Disrupt Search & Shopping [Devi Parikh, CEO Yutori, ex Meta
42:5950. Designing AI for 2026: Trust, Cost, Orchestration [Yaddy Arroyo]
44:3243. Play Unlocks the Next Billion‑Dollar AI Market [Michelle Lee, IDEO]
41:4740. Secrets to Successful Agents: Atlassian’s Strategy for Success
47:3939. The Intelligence Layer That Unlocks Your Business' Biggest Problems [Jochem van der Veer, TheyDo]
41:5936. Apple's Intelligence Shocks AI and How to Harness Power of Deep Research
20:1533. Rating AI Design to Code Products + Hacks for ChatGPT & Claude [Roger Wong]
34:2129. Trust is a Double-edged Sword: AI will Transform Services [Sarah Gold]
58:0327. Implementing AI in Creative Teams: Why Adoption Will Surge [Jan Emmanuele, Superside]
58:2025. Faster, Cheaper, Better: AI’s Transformation of Insights & Strategy [David Boyle, author of PROMPT]
53:14Featured People
Arpy Dragffy
Arpy Dragffy is the founder of PH1 Research, a 14-year-old product strategy and AI value consultancy, and co-host of the Product Impact Podcast. His work focuses on the gap between AI deployment and AI-driven outcomes — measuring it, closing it, and helping product teams ship AI that compounds rather than decays.
Jim Love
One of the most respected voices in technology news. Joined the Product Impact Podcast to unpack what viral AI agent demos actually prove, what they exaggerate, and why the hardest problems in AI aren't capability — they're control, security, and measurement.
Juan Sequeda
Principal scientist at ServiceNow and co-founder of data.world (acquired by ServiceNow). Leading researcher in knowledge graphs, semantic data management, and enterprise context infrastructure for AI. Juan's research demonstrated that LLM accuracy increases dramatically when knowledge graphs provide structured business context, a finding that catalyzed the industry's focus on context over capability.
Robert Brunner
Founder of Ammunition and Object. Former Director of Industrial Design at Apple (1989-1996) where he established Apple's pioneering internal design organization and hired Jony Ive. Designed the original PowerBook, Beats by Dre, Square Stand, Lyft Amp, June Oven, Polaroid Cube, and Limitless Pin.