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.

CTO 168

CTO Fractional CTO CTO Hire Technical Review 168

Steve Blank

JANUARY 10, 2011

The VP of an operating division had run into trouble in product development; the product was late and getting later. The revenue plan had the new product baked into the numbers and it was clear that this division General Manager was going to crater his forecast (happens all the time, nothing new here.)

Forecast 265

Forecast Agile Revenue Founder 265

Startup Lessons Learned

JUNE 5, 2009

Certainly venture-backed startups don’t have this luxury – every business plan has a model in it. Just because entrepreneurs tend to forget about these models doesn’t mean their investors do. Companies that reliably fail to make their forecasted numbers are exceptionally prone to “management retooling.&#

San Francisco 102

San Francisco Lean Continuous Deployment Startup 102

Up and Running

MAY 23, 2016

The one-page pitch format is also more suitable for SaaS businesses that are constantly testing new ideas. Your pitch is going to cover your strategy (what you’re going to do), your tactics (how you’re going to do it), your business model (how you will make money), and your schedule (who is doing what and when).

Software Review 74

Software Review Software Delaware Forecast 74

Startup Lessons Learned

FEBRUARY 7, 2013

I started with some basic theory: that a startup is an institution designed to thrive in the soil of extreme uncertainty; that traditional management techniques rooted in forecasting and planning would not work well in the face of that uncertainty. These business model assumptions are then ripe for testing, measuring and iterating upon.

Lean 167

Lean Entrepreneur Agile San Francisco 167

Seeing Both Sides

AUGUST 3, 2012

To help shine some light on this topic, I’ve decided to do a series of blog posts of case studies of companies founded in the last 10-15 years that have made the transition from finding initial product-market fit to building a large, scalable, platform company. In 2012, analysts forecast the company will achieve nearly $1.5

Distribution 49

Distribution Lean Massachusetts Cofounder 49

Steve Blank

NOVEMBER 1, 2010

They made other assumptions about the type of sales channel, partnerships and revenue model they would need. And they rolled all of this up into a set of financial forecasts with a “size of market” forecast from brand name management consulting firms that said they’d have 42 million customers by 2002. Lessons Learned.

Business Plan 335

Business Plan Customer Business Model Customer Development 335

Up and Running

OCTOBER 8, 2015

Instead, we built a product first (that’s expensive!) and then started hunting around for the right target market (that’s usually the cheap part of product development). Detailed market research isn’t necessary for all businesses. What Is a Market Forecast? We neglected to do our market research.

Marketing 60

Marketing Forecast CTO Hire Finder 60

Startup Lessons Learned

JULY 9, 2009

No business model, either. All my products and ideas focus on early cash and a business model that works from the first day. You made me remember that maybe, and just, MAYBE, the early days is not at there to earn money, but rather understand your user and improve your product. What was different this time?

San Francisco 94

San Francisco Lean Continuous Deployment DC 94

Tim Keane

JUNE 13, 2006

In other words, if you are forecasting 100 orders in the next quarter, at $10,000 each, I’d ask how many potential orders there are in the market, whether there is any existing competitive experience, and how you derived your timing. Greg Gianforte: Bootstrapping Your Business: Start And Grow a Successful Company With Almost No Money.

Wisconsin 60

Wisconsin Entrepreneur Startup Angel Investor 60

Steve Blank

JANUARY 21, 2010

The good news is this team found a business model, product/market fit and a repeatable sales model. What makes the current evaluation hard is that is based not on an assessment of what they have done, but on a forecast of what they are capable of becoming.

Agile 120

Agile Development Team Review Leadership Merger 120

Steve Blank

MAY 7, 2009

Rob Adams, the director of MootCorp, is doing an amazing job at providing value to all participants, whether it’s feedback on their business model or making the right introductions. MootCorp in particular has an impressive track record of putting early stage tech companies on the right path towards funding.

Business Plan 143

Business Plan Silicon Valley RSS Venture Capital 143

Up and Running

SEPTEMBER 20, 2016

enabling you to expand on an already working business model), and if you’re in the extremely early stages of building your company, you still need to develop your product. Product development. When it comes to product development and marketing in the early stages of your tech startup, funding is optional.

Early Stage 60

Early Stage Startup Forecast Channel 60

Transformify

JUNE 6, 2019

Initially, it will be your processes and product development road map that will require attention, to be followed by your product development roadmap and go to market strategy. Quite often, such startups end up having no clear business model, let alone a sustainable business model.

Lean 56

Lean Management Technical Review Software Review 56

ConversionXL

APRIL 3, 2019

What to do with AI: Predict churn ; Identify which offers to send to an individual; Accelerate innovation; Personalize content; Account-based marketing ; Algorithmic attribution; Forecast future lift; Predict blame. Do not talk about disruptive business models; the ones who disrupt don’t talk about it.

Artificial Inteligence 114

Artificial Inteligence Technical Review Metrics SEO 114

YoungUpstarts

MAY 13, 2016

However, as a successful entrepreneur who has built one of the largest IoT hardware supply chain platforms, I know first-hand that the philosophy of “democracy for all” rarely makes its way into the business world.  Analysts forecast that 6.4 billion connected things will be in use worldwide in 2016.

Artificial Inteligence 100

Artificial Inteligence China Incubator Startup 100