Remove Customer Development Remove Early Stage Remove Metrics Remove Viral
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Times Square Strategy Session – Web Startups and Customer Development

Steve Blank

I was in New York last week with my class at Columbia University and several events made me realize that the Customer Development model needs to better describe its fit with web-based businesses. In it, I got asked a question I often hear: “What if we have a web-based business that doesn’t have revenue or paying customers?

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Document Your MVP for a Developer

SoCal CTO

I was talking with an early-stage founder who has a product vision and wants to get it built. He wanted to get input from me on what he's doing, and he wants to begin to ask developers what it would take to build his product. Customer Development Notes I'm assuming founders are having customer development conversations.

Developer 354
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Introduction to Growth Hacking for Startups

VC Cafe

Growth Hacking isn’t viral marketing (although viral marketing is part of it). and answers with A/B tests, landing pages, viral factor, email deliverability, and Open Graph. If a startup is pre-product/market fit, growth hackers can make sure virality is embedded at the core of a product. Distribution Hacks.

API 167
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156
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Lessons Learned: Validated learning about customers

Startup Lessons Learned

In an early-stage startup especially, revenue is not an important goal in and of itself. This may sound crazy, coming as it does from an advocate of c harging customers for your product from day one. Let’s start with a simple question: why do early-stage startups want revenue? But all things are never equal.

Customer 167
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Lean Analytics: The Best Numbers for Non-Tech Companies

Startup Lessons Learned

It provides a basic introduction to analytics as they apply to Lean Startup, including sections on what metrics to use and how to interpret them. For instance, Ben lists out the worst of the “vanity metrics,” a term that describes appealing but meaningless or misleading numbers. Alistair: There are plenty. Consider a restaurant.

Analytics 167
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The Ultimate Guide to Starting a Software Company

Up and Running

He says, “Spending a few thousand on a domain could make a big difference long term, and give you the credibility and advantage over the competition, especially in the very beginning and early stages of the business.”. Noah Parsons says, “Start collecting contact information for interested, prospective customers.