Tom Tunguz

AUGUST 15, 2013

Credit: Karl Scotland. When I started at Redpoint in 2008, I wanted to find every way of analyzing companies I could. Consultants scrutinize the inner-workings of companies daily and create simple frameworks for explaining their operations. So I bugged a handful of friends with experience at the Big 3 consulting firms for their most used frameworks.

Consulting 108

Consulting Startup Investment Management 108

Tom Tunguz

AUGUST 14, 2013

Over the past few years, there has been a pronounced shift in the seed market. VCs now participate quite actively in the market. As a result, seed investment volumes have roughly doubled in the past year. But is the seed strategy working for startups and VCs? Do hugely successful businesses raise seed capital? Do those businesses include VCs in their seed rounds?

Investment 100

Investment Startup Finance Strategy 100

Tom Tunguz

AUGUST 13, 2013

Credit: xkcd.com. Over breakfast, I caught up with a close friend, an entrepreneur who is exploring a number of ideas for his next venture. He and his co-founder want to test their way to success with the Lean Startup Model. But they have added a twist to the Lean Startup process I call the Founder’s Null Hypothesis. Here’s how it works: First, this entrepreneur assumes each of his ideas will fail - the null hypothesis.

Startup 100

Startup Metrics 100

Tom Tunguz

AUGUST 11, 2013

Cohort analysis provides deep insight into customer bases because cohorts expose how customer accounts grow, evolve and churn. Plus, cohort analysis provides a framework to evaluate product releases, marketing pushes and advertising campaign performance. The Six Cohort Reports I Use to Understand Trends. Below is a list of the six reports I create when analyzing cohorts.

Data Analysis 100

Data Analysis Startup Advertising Trends 100

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Innovation

Tom Tunguz

AUGUST 12, 2013

Big data technologies like Hadoop, HBase, Redshift, Vertica and others store ever greater quantities of data. As the capacity to store this data increases, so does the importance of extracting value and insight from it. Big data adoption is a four step process : generate data, store data, hire specialists to analyze the data, and finally democratize data exploration.

Investment 100

Investment Sales Hiring Travel Innovation 100