Wed.Feb 28, 2018

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We’re doubling our product teams in San Francisco, Dublin & London

Intercom, Inc.

Six years ago, Intercom invented business messaging – helping internet businesses interact with their customers in a personal, scalable way that had never been done before. Today we are proud that 500 million business conversations happen each month through Intercom, and that number is doubling year-over-year. A big part of why we are seeing this growth is that our customers have found that when they use Intercom to engage their website visitors, conversion rates and sales increase by more than

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Always Think MVP

Ask Benny

Why you should always assume you are not going to make it on time. MVP vs MVE When developing a product or a feature, if you follow the lean methodology, you first need to validate demand. This means you apply the build-measure-learn cycle and try to ship a minimal viable product (MVP) to validate your hypothesis. In a lot of cases you actually start with a minimal viable experiment (MVE).

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What We’ve Learned From Using Kanban

Mind the Product

Introduction. Last year, our team here at insightsoftware.com, makers of Hubble , moved from Scrum to a Kanban software development approach. In my last Mind the Product article , I shared my insights on our transition as we were right in the thick of it. In this follow-up post, I want to share some more developed thoughts and findings from myself and our development team.

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Always Think MVP

The Product Coalition

Why you should always assume you are not going to make it on time. MVP vs MVE When developing a product or a feature, if you follow the lean methodology, you first need to validate demand. This means you apply the build-measure-learn cycle and try to ship a minimal viable product (MVP) to validate your hypothesis. In a lot of cases you actually start with a minimal viable experiment (MVE).

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Seven Common Screener Survey Mistakes (And How To Fix Them)

UserInterviews

Melanie Albert has managed thousands of research projects at User Interviews. Here she brings her experience to the topic of screener survey mistakes, and how to fix them.

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Seven Common Screener Survey Mistakes (And How To Fix Them)

UserInterviews

Melanie Albert has managed thousands of research projects at User Interviews. Here she brings her experience to the topic of screener survey mistakes, and how to fix them.

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Dear Strategy: 039 Deciding Between New and Old Products

Dear Strategy

On this week’s episode, host Bob Caporale, President of the product management and product strategy training company Sequent Learning Networks , answers the following question: Dear Strategy: “How do you decide whether to grow the market with new products or compete with old products?”. Read the full blog post. Original Music by Bob Caporale.

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Seven Common Screener Survey Mistakes (And How To Fix Them)

UserInterviews

Melanie Albert has managed thousands of research projects at User Interviews. Here she brings her experience to the topic of screener survey mistakes, and how to fix them.