Mike Bal, Head of Product at David's Bridal, joins Lihong Hicken on UX Stories to talk about building digital experiences for one of the most emotional customer bases on the planet — brides.

From merging deep legacy retail expertise with modern product thinking, to why he believes formal usability testing isn't always necessary, Mike shares how his lean team ships fast, gathers scrappy feedback, and keeps the customer experience at the center of everything.

🔑 Key topics:

* How a self-confessed "product nerd" ended up in wedding retail

* Why David's Bridal stylists already set a high bar for CX

* Shipping incremental improvements vs. big-bang releases

* The problem with vibe coding without vibe testing

* Why "they did it wrong" is always a product team problem

* Instagram's early usability testing discipline that led to a $1B acquisition

⏱️ Timestamps:

0:00 — Welcome & Introduction

0:29 — Meet Mike Bal, Head of Product at David's Bridal

1:08 — Core philosophy: Building for an emotional customer base

5:24 — Bringing digital transformation to a legacy brand

9:19 — Ensuring great experiences through feedback

9:40 — Usability testing approach at David's Bridal

12:20 — Remote vs. in-person testing methods

13:04 — Why formal testing isn't always necessary

16:38 — The vibe coding problem: Shipping without testing

23:35 — Current usability testing tech stack

24:57 — Magic wand: Capturing frustrated user feedback

25:46 — Wrap-up

#ProductManagement #UserExperience #DavidsBridal #WeddingTech #VibeCoding #UsabilityTesting #UXResearch #ProductStrategy #DigitalTransformation

🔥 Mazen Letayf, Head of Product at Alkami Technology, delivers a masterclass on why vibe coding is creating a tsunami of low-value software — and what builders should do instead.

With experience leading product at Capital One, Cox Automotive, and Credit Acceptance, Mazen makes a compelling case: the real bottleneck isn't code speed — it's deeply understanding your customer. He shares how his team went from 1% to 5% conversion by obsessing over the full customer journey, why most features go unused, and why NPS might be the worst metric in product history. 🎯

🎙️ Host: Lihong Hicken, co-founder of TheySaid & former co-founder of UserTesting.com

⏱️ TIMESTAMPS:

0:00 — Welcome to UX Stories

1:18 — What drives Mazen as a product builder

2:22 — His obsession with fixing auto & finance

4:35 — How China leapfrogged US in auto & mobile payments

6:26 — Why Chinese EVs are beating legacy automakers

8:02 — Balancing regulation vs. customer-centricity in vibe coding era

13:43 — Why most code is low-value — the real challenge of vibe coding

15:04 — Einstein's 59/1 rule: Stop coding, start listening

17:20 — "NPS is the worst thing that happened to products"

20:21 — The mocha pot analogy: Why intent ≠ experience value

23:42 — The "Temu-ification" of software

29:56 — How Cox went from 1% to 5% conversion in months

33:08 — Can AI-moderated testing replace in-person research?

35:15 — Final thoughts & wrap-up

🔑 KEY TAKEAWAYS:

💡 Vibe coding lowers the barrier to entry — which means more crappy products, not better ones

💡 Understand your customer at an anthropological level before writing a single line of code

💡 Product differentiation comes from services, relationships & data — not UI customization

💡 The best NPS scores come from fixing bad experiences — a perverse incentive

💡 Quantity has a quality in and of itself — AI-moderated testing could be a game changer

🔗 Visit TheySaid.io — Sign up for a free account and start testing with real users today!

📢 If you enjoyed this episode, like, subscribe, and hit the bell! 🔔

ProductManagement #VibeCoding #UX #CustomerExperience #DigitalBanking #NPS #AI #Startups #UserResearch

Jonathan Abon, a seasoned CPO and engineer with 30 years in AI/neural networking, joins Lihong Hicken to discuss the real challenges facing B2B software companies in the age of vibe coding. They explore why speed without direction is dangerous, how to balance rapid prototyping with proper user feedback, and Jonathan's "Usability Index Scoring" framework for measuring user experience in near real-time.

Jonathan shares his process for turning around underperforming product portfolios and why he still believes in jobs-to-be-done, customer needs mapping, and usability testing — even when everyone else is "just shipping."

Timestamps:

0:00 — Welcome & Introduction

1:04 — Jonathan's Background: Engineer Turned CPO

2:38 — What's Wrong with B2B SaaS Today?

3:21 — SaaS vs. AI-Centric Applications Explained

4:23 — How AI Is Changing Product Development (3 Ways)

5:11 — The Scaling Problem: Speed vs. Stability

8:49 — Vibe Coding & The New Way of Building Products

10:13 — Does Vibe Coding Replace User Research?

11:01 — Feedback Fatigue: When Users Get Overwhelmed

11:42 — The Danger of "Throw It at the Wall" Product Dev

13:22 — Finding the Right Balance: Strategy + Speed

13:48 — Why Usability Testing Still Has Value

14:06 — Customer Needs Mapping & Jobs to Be Done

16:13 — Where Vibe Coding Actually Helps (Surgical Innovation)

17:32 — Tech Stack for Feedback: NPS & Beyond

17:58 — Usability Index Scoring: The 4-Part Framework

19:48 — Why Traditional Usability Testing Is Getting Harder

20:09 — The Rise & Fall of UserTesting.com (Private Equity Problem)

24:27 — Magic Wand: What Would Make Feedback Dramatically Easier?

26:26 — Most Fulfilling Moment as a Product Builder

🔗 Try TheySaid.io — 5 free user tests/month: https://theysaid.io

Jodi O'Prandy, VP of Product at 1stDibs, joins host Lihong Hicken on UX Stories to break down what luxury e-commerce and travel booking have in common — and where they diverge.

They discuss how trust factors differ between a $500 flight and a $50,000 piece of fine art, the TripAdvisor filter redesign that failed because it skipped user testing, why hyper-personalization is the future of e-commerce, and what tools like Sprig are doing for modern product teams.

🔑 Topics covered:

Trust signals in high-value vs. commodity purchases

Why cruise shoppers rejected Google Flights-style filters

How AI agents, image search, and natural language are reshaping shopping

The case for moderated user research in the AI era

Rapid fire: go-to testing tools and gathering customer feedback at scale

⏱️ Timestamps:

0:00 - Intro & Jodi's background

1:37 - $500 flight vs. $50K art: How trust differs

3:58 - How long does it take to buy a $50K art piece?

5:52 - Designing for conversion, not just looks

7:00 - How 1stDibs tests new features (focus groups + A/B testing)

7:42 - Why in-person & moderated research still matters

8:42 - The value of body language & behavioral cues

9:57 - Story: The TripAdvisor filter redesign that crashed and burned

13:07 - Lesson learned: Know your users before you build

13:27 - The future of e-commerce: AI agents, image search & personalization

14:48 - Why one-size-fits-all no longer works in e-commerce

16:22 - Image search, AI agents & serving every customer segment

17:02 - Hyper-personalization at 1stDibs

18:03 - Rapid fire: Go-to user testing tool (Sprig)

19:16 - Magic wand: Making feedback gathering easier at scale

🎙️ Guest: Jodi O'Prandy — VP of Product Management at 1stDibs, formerly TripAdvisor & Priceline

🎙️ Host: Lihong Hicken — Co-founder of TheySaid, former UserTesting team (zero to IPO)

Subscribe for more conversations with product leaders on building great user experiences.

Dan Breyre has built products at Amazon, Apple, and JW Player during the internet's biggest shifts. Now as Head of Product at Sofar Ocean, he's applying big tech wisdom to ocean intelligence—helping scientists and governments make better decisions about our planet's most critical, least understood data set.

In this episode of UX Stories, we dig into:

• The fundamental truth about users Dan learned at Amazon that he still uses today

• Why "vibe coding" doesn't mean you should skip user testing

• The 14-pound product lesson that changed how he thinks about requirements

• How to do usability testing when you don't have time (but know you need it)

• Using AI tools to multiply research capacity without losing human insight

• The "torture room" that executives couldn't stay away from

Key Takeaways:

[00:00] Introduction - From Amazon to ocean intelligence

[05:45] The biggest lesson from Amazon & Apple

[12:30] Why product teams are changing (and what's being lost)

[24:15] The danger of optimizing for the wrong metrics

[31:22] How customer expectations are evolving faster than ever

[39:15] The 14-pound lesson in empathy

[48:20] Building a "torture room" for continuous user observation

[01:04:15] Rapid fire: Dan's research toolkit

About the Guest:

Dan Breyre is Head of Product at Sofar Ocean, where ocean data collected by autonomous buoys helps scientists, engineers, and policymakers make informed decisions about weather and ocean health. Previously, Dan held product roles at Amazon, Apple, and JW Player.

Resources:

• Sofar Ocean: https://www.sofarocean.com/

• Connect with Dan on LinkedIn: https://www.linkedin.com/in/dan-breyre/

• Learn more about They Said: https://theysaid.io

ProductManagement #UserResearch #UXDesign #VibeCoding #AI #ProductStrategy #AmazonPM #ApplePM

AI has made product development 10x faster—but user research is stuck in the past. How do modern builders ship products users love when traditional testing can't keep pace?

In this episode of US Stories, Lihong Hicken (former UserTesting executive who scaled the company from zero to IPO) sits down with Arvind Duhan, Chief Product Officer at DispatchTrack, for an honest conversation about the speed mismatch between "vibe coding" and user feedback.

🎯 KEY TAKEAWAYS:

• Why the software development lifecycle has been "completely turned upside down"

• How to prototype and ship 10-20x faster using AI tools

• The problem with $30K+ enterprise user testing platforms

• Building products with "hyper-agile" methodologies that compress traditional testing cycles

• Real strategies for collecting qualitative feedback without slowing down

• The future of AI-powered usability testing vs. human feedback

💡 HIGHLIGHTS:

• [1:52] - How AI fundamentally changed the product development lifecycle

• [6:07] - "Now usage becomes the feedback" - The shift from testing-first to ship-first

• [7:11] - Why traditional agile is now "hyper agile"

• [10:08] - The torture room: Why watching users is irreplaceable

• [18:35] - The real disruption: How AI is breaking SaaS seat-based pricing models

• [28:50] - Arvind's wishlist for AI-powered user testing tools

• [32:20] - TheySaid's vision: AI moderators + real user testing in under 2 hours

ABOUT THE GUEST:

Arvind Duhan is a product leader with 12+ years of experience building products across logistics, fintech, and education technology. Currently Chief Product Officer at DispatchTrack, Arvind advocates for first-principles thinking and solving customer problems at scale using the right technology stack.

ABOUT THE HOST:

Lihong Hicken co-founded TheySaid to solve the speed gap between building and learning. After helping scale UserTesting from zero to IPO, she's on a mission to make user research affordable and fast enough to match modern AI-powered development speeds.

TIMESTAMPS:

0:00 - Introduction: The 10x speed problem

0:52 - Arvind's background in product management

2:32 - How AI changed product development forever

4:53 - From CRM surveys to instant customer feedback

7:11 - The shift from agile to "hyper agile"

10:08 - The power of the "torture room" for executives

17:44 - Instagram's usability testing success story

20:00 - Why user testing became unaffordable

23:02 - Unexpected customer insights from logistics

28:50 - Arvind's wishlist: AI agents as customer personas

32:20 - TheySaid's hybrid approach: Real + AI testing

35:38 - Wrap-up and final thoughts

#ProductManagement #AI #UserResearch #ProductDevelopment #SaaS #UXResearch #Startups #AgileDevelo

Steven Lamb, Product Leader at Addepar, reveals the hidden tension in modern product development: we can build 10x faster with AI, but user testing is still stuck in the past. In this episode of UX Stories, we explore how wealth tech companies balance rapid innovation with zero margin for error when managing trillions of dollars.

Key Topics:

• Why "vibe coding" is outpacing traditional user testing methods

• The reality of B2B user testing: 3-day turnarounds vs 24-hour expectations

• Synthetic user personas and AI-powered usability testing experiments

• When to use deterministic systems vs AI in financial products

• The critical difference between user feedback and usability testing

• How Instagram shipped twice daily with rapid testing (and why that's rare today)

Timestamps:

0:00 - Introduction: The speed problem in product development

3:15 - Balancing AI innovation with financial accuracy at Addepar

8:42 - Why traditional user testing is too slow for modern development

15:30 - Synthetic personas and "vibe usability testing"

22:18 - The B2B user testing challenge: context vs speed

28:45 - Steven's vision for 100% tested products by 2026

Steven Lamb leads product innovation at Addepar, a platform tracking trillions in assets for sophisticated investors. He shares hard-won lessons about maintaining trust while innovating at AI speed.

Resources:

• Visit TheySaid.io to start vibe testing your products

• Connect with Steven Lamb on LinkedIn

ProductManagement #UserTesting #AIProduct #B2BSaaS #WealthTech #UXResearch #ProductDevelopment

In this episode of UX Stories, host Lihong Hicken sits down with Abhishek Vyas, Director of Product Management at Auditoria.AI, to explore how AI is transforming enterprise product development.

🎯 Key Topics Covered:

• The current state of agentic AI in enterprise environments

• How AI committees are shaping enterprise AI adoption

• Vibe coding vs. traditional product development workflows

• The role of user testing in the age of rapid AI-powered development

• B2B vs. B2C product validation strategies

• Why usability testing still matters (even with AI)

• Finding product-market fit through customer feedback

💡 Key Insights:

Agentic AI is still early stage but evolving rapidly

Enterprises are creating AI compliance committees alongside security reviews

Product teams are using tools like Cursor and Lovable to build prototypes in days instead of months

The fundamental principle hasn't changed: focus on solving real customer problems

User testing remains critical - there are no shortcuts to understanding user behavior

🔧 Abhishek's Background:

15+ years in product management at Meta, Workday, Walmart, and VMware, with 7-8 years focused on ML/AI products. Currently building agentic AI solutions for finance operations at Auditoria.AI.

⏱️ Timestamps:

0:00 - Introduction

1:00 - Abhishek's AI journey from NLP to Gen AI

4:30 - Is agentic AI ready for enterprise?

8:20 - AI compliance committees in enterprises

13:30 - How AI is changing product development workflows

20:00 - Customer validation in the vibe coding era

28:00 - The value of usability testing today

🎙️ About UX Stories:

Conversations with product builders navigating the intersection of AI, user research, and rapid product development.

AIAgents #ProductManagement #UserTesting #EnterpriseAI #B2BSaaS #ProductStrategy #VibeCoding #UXResearch #AICompliance

AI has made building products 10x faster—but are we forgetting our customers in the process?

In this episode, I sit down with Alex Pyatigorskiy, Head of Product at Vama and former Chief Digital Business Officer at Disney, to tackle the biggest challenge facing product teams today: how to maintain customer-centricity when vibe coding has replaced traditional product development.

🎯 KEY TOPICS:

• Why founders are abandoning pre-launch user research (and why that's risky)

• The "torture room" that became the most popular space at a major bank

• How to do user testing at the speed of AI development

• Why customers now expect you to use their data to bring them value

• The Henry Ford fallacy: what user research actually reveals

• Building products for introverts vs extroverts

• AI testing tools vs human insights: when to use each

💡 BEST QUOTES:

"The speed of building is 10x faster than the speed of listening"

"Users never can explain what they need—but that doesn't mean you should abandon research"

"Value first, before any cool features or optimizing onboarding"

⏱️ TIMESTAMPS:

0:00 - Introduction: The AI product development crisis

2:15 - Alex's background: Disney to Vama

5:30 - How customer expectations have evolved

12:45 - The three domains of product management

18:20 - Why some founders abandoned user research

25:10 - The "torture room" story

32:40 - Current user testing stack (including AI tools)

40:15 - The magic wand question: extracting true emotions

🔗 CONNECT WITH ALEX:

LinkedIn: https://www.linkedin.com/in/alexpyatigorskiy/

Vama: https://www.vama.com/

🔗 ABOUT UX STORIES:

I'm Lihong Hicken, and I scaled UserTesting from zero to IPO. Now I'm building TheySaid to bring vibe testing to the speed of vibe coding. Subscribe for weekly conversations with product leaders who are navigating the AI revolution while keeping customers at the center.

Try TheySaid: https://www.theysaid.io/

Follow me on LinkedIn: https://www.linkedin.com/in/lihonghicken/

#ProductManagement #UserResearch #AI #UXDesign #ProductDevelopment #CustomerCentric #AITools #Disney #Vama #UserTesting

Your product roadmap is moving faster than your customers can keep up.

That gap is silently killing adoption, retention, and expansion revenue.

Watch this episode to learn how to validate what matters before you ship.

Most B2B SaaS teams don’t have a product problem—they have a feedback speed problem.

In this episode of UX Stories, Lihong Hicken sits down with Fy Knight (Head of Product at Recidiviz) to break down what it really means to build products that are personal, empowering, and effortless. Fy shares how high-performing product teams validate risky assumptions fast, avoid expensive experimentation traps, and turn user feedback into real business outcomes. You’ll learn how to create momentum with rapid validation methods that don’t rely on slow cycles or endless internal debate.

If you’re shipping fast but learning slow, this conversation will change how you build.

✅ Key Insights from This Episode:

✅ Why speed is beating listening right now

✅ The “vibe testing” mindset for product teams

✅ How to validate risky assumptions faster

✅ Why A/B tests are the most expensive option

✅ What users say vs what they actually do

✅ How to turn metrics into user outcomes

✅ Resources & Links:

✅ Connect with Fy Knight (LinkedIn): https://www.linkedin.com/in/celesteknight/

✅ Get Fy’s team-level product feedback system & validation playbook: https://www.recidiviz.org/