Entrepreneurship Summit

Today’s Entrepreneurship Summit at Northwestern University organized by the Farley Center for Entrepreneurship & Innovation featured several outstanding business plan/model presentation and panel discussions. Dry Goods won first place with a professional and well performed pitch and appears well positioned for its planned August launch. The runners-up did not fall short of insightful business models and thoughtful product concepts.

Looking back the last decade, Northwestern has come a long way in developing its entrepreneurial activities across campus under guidance of Prof. Mike Marasco. The Farley Center did an excellent job instilling an entrepreneurial mindset at Northwestern and developing a core framework of entrepreneurial classes for students. Together with the Technology Innovation Center incubator in downtown Evanston, there is a solid support layer for entrepreneurs in and around campus.

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Lean Startup Conference

Make sure to check out the Lean Startup Conference this Friday. The lineup features the Who’s Who of the lean startup movement.

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The Elastic Cloud

This is the first in a series of articles on building elastic cloud applications.

This might be the year where enterprises finally adopt cloud computing. Despite all the hype about software as a service (SaaS), few resources focus on how infrastructure as a service (IaaS) helps Lean Startups avoid significant investments.

While IaaS saves monetary investments in hardware and long-term hosting contracts, it also frees up valuable human resources used to set up and manage data center infrastructure. And when your user base finally grows, the elastic cloud absorbs the extra load without creating sleepless nights and requiring urgent visits to the data center.

Design First, Less Worries Later

One important aspect to a successful application deployment is to pick proper IaaS services. With a diverse set of offerings, it’s easy to get lost in the cloud. Investing time upfront to properly design the application saves money but also prevents growth problems later. While enabling you to cope with rapidly rising demand, a well designed application keeps your most precious assets – your time – focused on adding value instead of dealing with infrastructure services.

To help guide the design of applications, we divide IaaS offerings into four categories: elastic front-end, batch processing, relational storage and data storage. The Cloud Architecture Overview illustration shows several example services for each of them.

Cloud Architecture Overview

Lessons Learned

  • IaaS saves the most important resource – your time
  • plan first, worry less later

The next article adapts the Lean Startup principles to application architecture.

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The Lean Startup

The Lean Startup vision introduces a methodology for building a technology product. In short, a Lean Startup is a low-burn technology venture which combines the Customer Development methodology and an Agile Software Development methodology.

Startups don’t fail because the technology doesn’t work. They fail because nobody wants what they are trying to build.

Eric Ries

Eric Ries and his blog ‘Lessons Learned’ offer insights on how to build a Lean Startup. A recent presentation from Eric Ries’ on Lean Startups in the Stanford University’s Entrepreneurship Corner explains his approach to building a technology product. In his pragmatic view on how to integrate Customer Development with Agile Software Development, he advocates an approach with two teams. The cross-functional problem team continuously validates the problem hypothesis and updates the product concept, while the solution team uses an Agile Software Development methodology to build the product from the product concept.

The Pivot

A key aspect to any startup is defining the problem that it tries to solve. Customer Development advocates a cross-functional problem team that intensively works with customers and continuously defines and adapts the problem hypothesis.

The systematic approach of Customer Development produces a series of invalidated problem hypotheses. At each iteration, the team adapts one piece of the hypothesis which includes, among others, customer segments, feature set and positioning. Each change builds on the lessons learned in validating the earlier problem hypotheses.

The pivot is the incremental change to the problem hypothesis. Building on the continuous feedback of the early adopters, the pivot represents the minimal change needed to address the barriers of the hypothesis.

The startup’s vision assures a coherent direction despite many incremental changes to the product concept. In the absence of a strong vision, incremental changes may steer the product concept into a random direction.

The Minimum Viable Product

Deciding what and when to ship to customers is a key part of any venture. During bootstrapping, limited resources force startups to find the smallest feature set required to engage with their early evangelists. Eric argues that startup teams often overestimate the smallest feature set by a big margin and that the best approach is to divide that first set down several times. Shipping the minimum set of features may produce surprising results from the customer base.

Despite a limited feature set, customer might actually be happy with the shipped features. Visionary customers are very forgiving as they not only buy into the current product but also in the startup’s vision. Furthermore, the view of the team on required features may not be aligned with the customer’s needs. In the worst case, customers will give their opinion on what features are missing to create a value proposition for them.

By focusing on the minimum viable product, startups avoid the mistake of building a product that nobody wants. By engaging with the target segment early on, the Customer Development methodology offers more advice on building a product for a few engaged customers instead of trying to build a product from the outset for everyone.

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