I’m launching a conference on business technology disruption called Pandemon.io. I’d like it if you told your friends, or followed us on Twitter, Facebook, and LinkedIn. I’d love it if you signed up for our weekly newsletter, which we’re packing with useful stories and interviews with our speakers. And I’d be absolutely ecstatic if you bought a ticket and joined me next February in Panama, so we can discuss things like this in person. First, you had a suspect; then you collected data
When you run an experiment, as Alistair and I did with the Lean Analytics Backchannel, you have to be prepared for it to fail. In fact, if you run an experiment that can’t fail, it’s not really an experiment.
Alistair and I launched the Backchannel because we believe that there’s an opportunity to help people over time and consistently with Lean Analytics; the book is great (and we know it’s helped people), but not enough. It’s a reference guide to get you started, but everyone needs
Lean Analytics has been out for 3 years. It still amazes me how often people reach out to let us know that they’ve enjoyed the book. More importantly, people tell us that it’s helped them. And that’s awesome. Alistair and I wrote Lean Analytics to help people. We weren’t quite sure how good a job we would do, but I think it’s turned out fairly well.
Having said that, we’ve always felt like there’s more to this story than the book. We’ve done a lot of speaking engagements (and continue
Ben Yoskovitz and I are launching something today. It’s a chance for data-driven entrepreneurs to dig deeper into the metrics and analytics of growing their businesses. Here’s why.
Back in 2012, Mary Treseler sent Ben Yoskovitz and I a contract for a book. O’Reilly Media was publishing a series of books to dive deeper into what Eric Ries had written in The Lean Startup, a book that made most startups and investors reconsider how companies were launched. We signed t
There’s been a lot of talk lately about chat as an interface (something Dan Grover’s hit on first.) It’s fueled by the rapid adoption of Slack, and announcements that other companies, from Wechat to Facebook to Kik, are rolling out bots and opening APIs to let algorithms join us in chatrooms. Facebook’s building a universal personal agent dubbed M.
There’s been less, umm, chatter about how different chat interfaces are from traditional UI/UX, and what it’ll mean wh
My first foray into VR environments since I decided to devote serious time to it came from Dylan Fries at Electric Monk media. They’re a cross-media design and development firm in Winnipeg, Manitoba; among other things, they’re behind the film Men With Beards.
Dylan has been building interactive applications for years, and has been exploring building immersive experiences.
One of the things that’s immediately apparent from these experiences is that VR isn’t just a set of
Every decade since the dawn of computing, we’ve seen a shift in how humans and computers interact, all the way from government mainframes to the smartwatch on your wrist. The next shift will give us mixed reality, and it’s nearly here.
Each of these shifts has had its own stack: Mobile had IOS and Android; Web had LAMP, AJAX, TCP/IP and the browser wars; and client-server computing had Vines, Novell, Ethernet and Token Ring.
The coming decade will be shaped by t
Google Inbox is going to be a huge part of Google’s success in a few years. I’m picking on Inbox for a variety of reasons here, but there are several other contenders for your personal agent: Siri, Cortana, Amazon’s Echo, even Fin. They matter, because if you don’t embrace one of these prosthetic-brain smart agents, you won’t be able to compete on productivity and will lag behind. I’m completely convinced of this. Here’s why.
(For context, Inbox, which is Google’s new mail client, is
I have few plans in 2016 year, but one of them is clear: to have spent at least 24 hours in Virtual Reality, because I’m convinced that this will be key to understanding how we interact with computers and humans.
Here’s why: The experience will be incredible.
VR newsletter Hammer & Tusk says the content is already great—even though, in their words, this is the “fart app” era of VR. And yes, there will be porn. We’re all going to be hooked.
Recently, a man took his GoPro for a walk with a Neural Network. The program captioned what it saw: bikes, faces, skateboards. Boy, did it like the skateboards.
We’re at a critical juncture in computers’ ability to understand the real world. Not just to describe it, as in the video above, but to extract and quantify emotional data and to augment it. Consider some other examples of understanding that take the qualitative and subjective and make it quantitative and objective: Google
There’s a scene in comedian John Candy’s North of the Border satire Canadian Bacon where a hawkish American president, eager to boost his ailing economy with wartime growth, incites our neighbours to the South to take over the C.N. tower. As an armed SWAT team storms past bystanders at the base of the building, all the Canadians murmur complacently: “Sorry.”
The apologetic Canadian is a universal stereotype. Even the “eh?” with which we apparently end all sentences is a form of upspea
The next decade of technology rests on three big pillars. They look independent today, but they’re inextricably intertwined. And when they finally work in concert, it will be nothing short of transformative for our species.
If that seems a bit breathless and overblown, hear me out: The convergence of big data, smart agents, and new interfaces is coming, and it’ll change how we interact with other people, the world around us, and even ourselves. Big Data
Today big data i
Recently, Bayram Annakov of Appintheair wrote to us about how he’d used analytics and Lean approaches to improve his user onboarding, with some pretty dramatic results. He was kind enough to outline them here for all of us.
We build great apps, we solve critical problems, and we help our users achieve their goals. But you know what the real problem is? Despite all that, sometimes users simply don’t use our product—because we failed to get them on board. All that hard work goes to was
“To reiterate, the biggest mistake startups make when trying to get traction is failing to pursue traction in parallel with product development.”
That’s a great quote from a new book called Traction: A Startup Guide to Getting Customers by Gabriel Weinberg and Justin Mares. It emphasizes something we talk a lot about in Lean Analytics–you can’t just build a product in a vacuum without early and frequent customer feedback/engagement. Early traction in Lean Analytics is about proving wh
Last year, Ben and I presented a workshop at the International Startup Festival with Brant Cooper and Patrick Vlaskovitz, the co-authors of The Lean Entrepreneur. It was a highlight of the festival for us, and we realized the four of us have a lot in common—and a lot to learn from one another.
Fast-forward a year, and a couple of weeks ago, I got on a Google Hangout with the team from Move The Needle. The brainchild of Brant and Aaron Eden, MTN helps companies implement Lean stra
Back in December, Roger Huffstetler of Zillabyte contacted us to say he’d applied some of Lean Analytics to his startup, and wanted to fill us in on what happened. At the time, by his own admission, he was “Up to my ass in alligators” But now, a few months later, is his story.
I had just completed my 30th demo of our product, and I remember leaving the feedback session on cloud nine. As I wrapped up showing our API to the potential customer, he suggested what we were building was “ama
This is a guest post from Eric Klaassen of Bloom, a consulting firm that helps companies grow online. We first met Bloom late last year in South Africa, and they’ve been pushing the envelope of applying Lean Startup concepts to big, established companies.
The success of the lean start-up methodology is increasingly resonating in large enterprises. Companies like Intuit, Amazon, GE and many others are implementing key principles of the lean start-up in order to deal with the compl
We’ve seen copies of the Polish and Korean versions of Lean Analytics in the wild, and spoken with a few of the other translators. We’re excited to see the book reach so many new readers. In the meantime, we’ve been doing a bit of translation of our own!
Photo of the WAQ stage from way up high, by Andréanne Beaulieu
Last week, I spoke at Web A Québec, a conference on web technologies that happens in Québec City. I speak French (but far from perfectly)
Over the last few months, we’ve talked with many startups looking for tactics they can use to try out new ideas quickly. These aren’t strictly Minimum Viable Products, but rather features they think might work—because of a hunch, anecdotal user feedback, a pattern in their data, or a competitor’s feature set.
But what’s the right way to confirm or deny this hypothesis? Here are a few tactics you can try out to test whether a feature has legs, without investing a lot of time and e
Later today, I’ll be speaking at the Lean Startup conference in San Francisco. It seems like only yesterday that Ben and I first taught a workshop on Lean Analytics, prior to the book’s launch. Since that time, we’ve visited a dozen countries, spoken with hundreds of founders, and found out that it’s being translated into eight languages. To say we were surprised by the progress is an understatement.
Rather than repeat last year’s content—which is widely available on Slideshare, on Ud