Startup Lessons Learned
JULY 13, 2009
Lessons Learned by Eric Ries Monday, July 13, 2009 The Principles of Product Development Flow If youve ever wondered why agile or lean development techniques work, The Principles of Product Development Flow: Second Generation Lean Product Development by Donald G. Reinertsen is the book for you.
Startup Lessons Learned
SEPTEMBER 30, 2008
Own the development methodology - in a traditional product development setup, the VP Engineering or some other full-time manager would be responsible for making sure the engineers wrote adequate specs, interfaced well with QA, and also run the scheduling "trains" for releases. Labels: product development 15comments: mukund said.
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Startup Lessons Learned
JUNE 5, 2009
Companies that reliably fail to make their forecasted numbers are exceptionally prone to “management retooling.&# Case Study: Continuous deployment makes releases n. Towards a new entrepreneurship ▼ 2009 (88) ► December (4) Continuous deployment for mission-critical applica.
Startup Lessons Learned
FEBRUARY 7, 2013
Struggling to explain the successes and failures of those companies, I discussed principles like continuous deployment, customer development, and a hyper-accelerated form of agile. My personal background was as an engineer and my companies had been Web-based startups, so that is what I wrote about.
Startup Lessons Learned
OCTOBER 30, 2008
Get 18 months or more of cash (runway) in the business against a conservative forecast. Case Study: Continuous deployment makes releases n. Towards a new entrepreneurship ► 2009 (88) ► December (4) Continuous deployment for mission-critical applica. Act now, act with speed. Use Google Apps.
Startup Lessons Learned
JULY 9, 2009
Talking about trends is more about trying to forecast the future, like a guru, sometimes it works, sometimes not. Case Study: Continuous deployment makes releases n. Towards a new entrepreneurship ▼ 2009 (88) ► December (4) Continuous deployment for mission-critical applica. About spot trends.
Startup Lessons Learned
NOVEMBER 13, 2008
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.
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