Remove Algorithm Remove Continuous Deployment Remove New York Remove Product Development
article thumbnail

Lessons Learned: Combining agile development with customer development

Startup Lessons Learned

Ever since that time, I have struggled to explain how the feedback loop in customer development should interface with the feedback loop in product development. Eric Ries Lean Startup Schematic View Of Agile Development And Customer Development View more presentations from Eric Ries. Just a thought.

Agile 111
article thumbnail

Lessons Learned: The one line split-test, or how to A/B all the time

Startup Lessons Learned

This gets me into trouble, because it conjures up for some the idea that product development is simply a rote mechanical exercise of linear optimization. You just constantly test little micro-changes and follow a hill-climbing algorithm to build your product. Case Study: Continuous deployment makes releases n.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Embrace technical debt

Startup Lessons Learned

Startups especially can benefit by using technical debt to experiment, invest in process, and increase their product development leverage. The biggest source of waste in new product development is building something that nobody wants. Leverage product development with open source and third parties.

article thumbnail

Lessons Learned: The ABCDEF's of conducting a technical interview

Startup Lessons Learned

The technical interview is at the heart of these challenges when building a product development team, and so I thought it deserved an entire post on its own. Still, a startup product development team is a service organization. As they optimize their solution, they eventually wind up deriving Bresenhams circle algorithm.

article thumbnail

Lessons Learned: Five Whys

Startup Lessons Learned

Because five whys kept turning up a few key metrics that were hard to set static thresholds for, we even had a dynamic prediction algorithm that would make forecasts based on past data, and fire alerts if the metric ever went out of its normal bounds. Case Study: Continuous deployment makes releases n.

article thumbnail

Learning is better than optimization (the local maximum problem)

Startup Lessons Learned

In fact, the curse of product development is that sometimes small things make a huge difference and sometimes huge things make no difference. Those of us with a computer science background call it the hill-climbing algorithm. When we’re optimizing, product development teams encounter similar situations.

article thumbnail

Lessons Learned: Sharding for startups

Startup Lessons Learned

More common is to use a one-way hashing algorithm to map the data to be accessed to one of the shards that store it. Theres no complex algorithm to go wrong, just a simple lookup table. Of course, you could use URL-based sharding to "wrap" a CH algorithm (or any hashing scheme you wanted).