Your First Startup Experiment
Last updated on 2016-08-30
About the Book
How many pairs of shoes did you buy online in the nineties?
In 1998, UK born film-school grad Nick Swinmurn was scouring the Bay Area for a pair of Airwalks, but couldn't seem to find the right size and style. Yet he knew most consumers didn't buy much of anything online. Especially shoes, which are very personal. The assumption that consumers would actually buy shoes online needed to be tested.
Swinmurn began by putting up photos of shoes from local shoe stores on a website to gauge demand. When someone ordered a pair online, he bounced back to his local shoe store, bought it, and shipped it out at a slight loss.
Even though he lost a bit of cash up front, Zappos won out in the long run. Instead of investing in technology and inventory, Zappos answered the single most important question: will consumers accept the online distribution channel for shoes? And they did. To the tune of 1.9 bln USD, when Amazon acquired Zappos ten years after it was founded.
Lots of recent converts to Lean Startup think that the main thing you need to be running a lean startup is a minimum viable product (MVP). Yet annoyingly, if you start your startup by immediately building an MVP and skimp on formulating a clear hypothesis, you're not already following the lean startup process from the get-go. You're just building a beta product, and fooling yourself with buzzwords.
What's the difference between a Lean Startup talker and a Lean Startup doer?
Experiments. Actually running them.
From the start.
Before you do anything else. Including writing a line of code.
The most common challenge founders have with Lean Startup is getting started on that first experiment. Figuring out what's actually worth testing. And then getting out there. Interviewing prospects.
Without running experiments and learning systematically, you pretty much guarantee your product's mediocrity. You're stuck with the same checklists, tools, and best practices which your competitors are already using. Not only that, Lean Startup gives you the tools to test what matters the most for a new product: the market and the marketing.
If you are just getting started as a founder, and you're not sure how to apply the critical Lean Startup skill of testing, this book is for you. The book aims to help you, as a startup founder, get started on your first experiment. When you've read the book, you'll discover how to:
- identify the riskiest assumption in your business idea
- formulate a hypothesis which tests that assumption
- choose a metric the captures the essence of that risk, and establish a signpost value
- practice a customer development interview
- learn simple techniques to keep track of your experimentation
You'll see case studies of how this approach worked at a number of successful tech companies today, back when they were still startups.
Who knows, maybe you'll even become the next Nick Swinmurn.
Designer of children's products
Just what I needed. Thank you!
- Your First Startup Experiment
Business Plans Are Broken…Here’s What Actually Counts at the Earliest Stage
- Why Minimum Viable Products Are an Effective Way to Learn
The 4 Biggest Benefits of Using Landing Page MVPs (with advertising)
- 1. Find ideas that have latent market demand
- 2. Focus on economic value
- 3. The impact of fast testing on your wallet
- 4. Truncate unprofitable paths, by killing bad ideas early
The Mechanics of Proving an Idea With Paid Media
- Expected Lifetime Value or E(LTV)
- Gumball machine number (GMN)
- What a High Conversion Rate Means For You
How to Verify Your Assumptions
- Start with assumptions about your market
- Implicit assumptions
- Achieve financial significance, not statistical significance, with pre-testing
- The painful suck of false positives
- Test one assumption at a time
- How Much Does One Spend?
- How many experiments should you run?
Construct Your Test Backlog
- The 4 steps of testing one hypothesis
Take Action Now
- Metrics To Monitor
- Key Takeaways
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