Showroom by Speechbox

Unlock AI Product Success: Dogfooding Secrets Revealed!

25:02HDSalam Bisan

Discover how Lusha built a Zero-to-One AI product in 8 weeks, leveraging internal teams as power users. Learn the critical role of 'dogfooding' to achieve 93% accuracy and deep user empathy without losing sight of the North Star.

Key Moments

Trust your AI?

Validating AI: How to Trust Your Qualitative Insights

Trust and behavior change

Build Trust: The Dual MVP Approach

Don't undervalue your expertise!

Your Unique Knowledge is a Superpower

AI + scheduling = success?

The Secret to Contextual AI: Scheduling Systems

Value vs. Pain: The Test

Value vs. Pain: The Massage Chair Test

Unbelievable results!

93% Accuracy & 80 NPS!

Are customers missing out?

The Hidden Danger: Customers Don't See Your Full Value

Unlock hidden potential!

Transferable Skills & Unexpected Benefits

40% conversion boost

40% Conversion Boost with Post-Call Clips

Focus on the outcome!

Why Your Results Are Everything!

Challenge your assumptions

The Feedback Test: How You React

The post-trial secret

Your Trial Isn't Over (Even When It Is)

SaaS is on its way out

SaaS is Dying: The Inevitable Agentic Shift

SaaS to license shift

Private AI: Back to License Models?

AI isn't just a tool.

AI: Your New Creative Partner?

Predict future growth!

The Holy Grail: Predicting Churn & Expansion

Trust is everything!

AI Errors: The High Cost of Trust

Massive conversion rate jump.

5% to 40% Conversion!

Browse by Topic

Explore all sessions, quotes, and moments organized by theme.

Interest:0 Sessions (20)

Notable Quote

The data tells us 'what,' but it doesn't tell us 'why.' And there's a whole world of what they tried and didn't succeed at that we won't get from the data.

CA
Chen Apermann Kor
Senior Product Manager
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Product Management Sessions (17)

Top Moments from

Unlock the 'Why': AI Secrets to Qualitative Data at Scale!

Watch full session

Trust your AI?

Validating AI: How to Trust Your Qualitative Insights

Data you already have!

Stop Starting from Scratch: Leverage Existing Data

AI for partnerships!

Find Perfect Design Partners with AI Insights

Design your output first!

Building AI Data Pipelines: Start with the End in Mind

Beyond the numbers!

Quantitative Data Misses Half the Story

Excel's secret power!

Uncovering Hidden User Feedback in Excel

Product Strategy Sessions (4)

Notable Quote

When we build an MVP, we are essentially building two MVPs: one for the technical solution, whether we can deliver value, and one for behavioral change, whether we can change the behavior of the users who are going to use this thing.

SD
Shi Di Castro
Product Manager and AI Transformations Leader in Organizations
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AI In Product Sessions (3)

Top Moments from

AI in Luxury Retail: How One Expert Transformed an Old-School Giant!

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Trust and behavior change

Build Trust: The Dual MVP Approach

Users want more AI!

The 'Why Not This Too?' Effect: A Sign of Success

Observe, don't just ask!

Observe Users: Uncover Hidden Workflows

AI's 3 problem-solving modes

3 Ways AI Solves Business Problems

Avoid the MVP trap!

The MVP Trap: Don't Over-Optimize Too Soon!

Talk to everyone!

Uncover Hidden Bottlenecks: Talk to Everyone!

Team readiness is key!

Team Readiness: The Unsung AI Challenge

Cybersecurity Sessions (3)

AI Sessions (2)

The Magazine

Stories from the stage

All articles
Product StrategyStartup Growth

The Product Manager's Dilemma: Crafting One-Off Solutions for Strategic Clients

In the fast-paced world of startups, product leaders often face a unique challenge: developing bespoke 'one-off' solutions for a single, strategic client. While these opportunities promise significant growth, they also carry substantial risks. Nir Galon, CPO at Green and a veteran in FinTech product management, delves into this complex dilemma, offering a framework for making informed decisions and navigating the treacherous waters of client-specific development.

Nir Galon
Product Strategy

Pango's AI-Powered Parking: How a 'Meaningful MVP' Transformed Urban Mobility

In the dynamic world of product development, the path to innovation is rarely straightforward. Liat Peled, VP Product at Pango, recently shared a compelling case study on how her team navigated the complexities of urban parking, leveraging AI and a redefined approach to the Minimum Viable Product (MVP) to deliver a truly impactful solution. The story of Pango's sign scanning feature offers valuable lessons for product managers striving to solve 'unsolvable' problems.

Liat Peled
Product Management

The 30-Day Product Challenge: How One PM Built a Paying Product from Scratch with AI

The landscape of product management is undergoing a significant transformation. No longer confined to strategic planning, product managers are increasingly expected to be "builders" capable of taking a product from conception to market. Ran Erez, a product leader, embarked on a challenging 30-day project to demonstrate this shift, aiming to build a real product for paying customers using AI tools, all while dedicating just one hour a day.

Ran Erez
AI in Retail

Bridging the Gap: Integrating AI into a Legacy Luxury Retailer

In an era where AI is rapidly reshaping industries, the challenge of integrating advanced technology into legacy companies, especially in sectors like luxury retail, presents a unique set of hurdles. This case study delves into the strategic deployment of AI within Tollmans, a high-end furniture retailer, highlighting the meticulous process of identifying needs, overcoming cultural resistance, and proving tangible value.

Shi Di Castro
AI

Beyond the 'What': How AI Transforms Qualitative Data Analysis at Scale

In today's hyper-accelerated market, product managers often find themselves at a crossroads: either conduct deep, time-consuming qualitative analysis or move quickly with superficial, gut-instinct decisions. Chen Eperman Kor, Senior Product Manager at Lightrun, shares a groundbreaking approach to overcome this challenge, demonstrating how AI can revolutionize the way product teams understand user behavior and drive strategic growth.

Chen Apermann Kor